# AI Analytics

> AI Analytics develops intelligence infrastructure, privacy technology, and distributed systems. Independent research and engineering, with public-data systems, agent software, and source-linked investigations. Intelligence, engineered.

Selected systems: Voidly combines a censorship observatory with private applications and agent tooling. Voidpay documents signed private work and direct wallet settlement; its published demonstration is first-party proof, not customer adoption. The Federal Data Hub provides keyless access to 229 datasets with source-specific terms. Nexcom Media (NEXcom Digital, Inc.), co-founded by Dillon Parkes and Galen Kahlenberg, has 78 publications across 62 places and regions; its primary site is https://nexcommedia.org/. Swarm SDK is presented as a documented encrypted-mesh architecture, without certification or field-readiness claims. There are 526 technical articles, 16 accountability datasets, and two public institution-level evidence atlases.

Project snapshot reviewed September 8, 2026. Voidly's 38M+ indexed archive measurements and 130-country public index have different scopes from its historical 200-country archive and its physical probe network. Source: https://voidly.ai/methodology . Nexcom's 81 domain listings include three redirects; 78 are publications. Source: https://nexcommedia.org/network . Historical articles describe their dated context and must not be treated as current operational claims.

This file is intended for LLM agents (per [llmstxt.org](https://llmstxt.org/)). Humans should start at https://ai-analytics.org/ or one of the project pages below.

## Site

- [Home](https://ai-analytics.org/): organization overview, project list, stat strip
- [About](https://ai-analytics.org/about/): mission, principles, technical stack, founding
- [Methodology](https://ai-analytics.org/methodology/): how Voidly measures internet censorship — vantages, test list, cadence, classifier, cross-source verification, confidence levels; Federal Regulatory Data Hub ingest methodology
- [Data ethics & standards](https://ai-analytics.org/standards/): the four rules every accountability dataset is built under — zero personal data, the evidence ladder for naming entities, records-not-allegations, corrections & right of reply
- [Governance](https://ai-analytics.org/governance/): independence statement, funding model, ethics, data handling, conflict-of-interest policy, response SLAs, security disclosure flow
- [Corrections policy](https://ai-analytics.org/governance/corrections/): how we correct errors in published data and analysis
- [Takedown policy](https://ai-analytics.org/governance/takedown/): how we handle legitimate takedown requests
- [Press kit](https://ai-analytics.org/press/): fact sheet, logo pack, boilerplate, pull quotes, attribution format
- [Intel briefs](https://ai-analytics.org/intel/): data-backed observations across regulatory enforcement patterns, internet censorship events, and cybersecurity signals — each citing source datasets
- [Timeline](https://ai-analytics.org/timeline/): six-year org milestones (2020–2026) with quarterly granularity
- [Coverage](https://ai-analytics.org/coverage/): public-index and historical-archive scope, with source links
- [Use the data](https://ai-analytics.org/data/): developer landing — keyless static evidence-atlas JSON/NDJSON and OpenAPI contracts; Voidly REST API, HuggingFace snapshots, and MCP server; Federal Regulatory Data Hub cross-reference
- [Contact](https://ai-analytics.org/contact/): project inquiries, direct contact, and security disclosure information
- [Writing](https://ai-analytics.org/writing/): index of long-form technical articles

## Projects

- [Writing topics](https://ai-analytics.org/writing/): 22 topic pages at /writing/topics/{slug}/ group all 526 articles by subject (health, finance, censorship, ownership, sanctions, justice and more)
- [The OrganWatch Investigation](https://ai-analytics.org/writing/series/organwatch/): the nine-part series on the US organ system, in reading order, with the companion dataset
- [The Farmland Register](https://ai-analytics.org/writing/series/foreign-farmland/): the five-part foreign-farmland series in reading order
- [Foreign Money in US Universities](https://ai-analytics.org/writing/series/section-117/): the two-part Section 117 series
- [Datasets — the full directory](https://ai-analytics.org/datasets/): every dataset on one screen — the sixteen Voidly accountability datasets grouped by family, both institution-only evidence atlases, and the Federal Data Hub category groups.
- [Religious Institution Evidence Atlas](https://ai-analytics.org/religious-accountability/): an institution-only, non-exhaustive U.S. evidence atlas with 1,240 exact CMS Certification Numbers across three QIES/iQIES source classifications, 55 reviewed official-action records, 11 bounded aggregate lanes, 11 explicit coverage gaps, 125 reviewed government and first-party source registry entries, and 141 evidence hashes. Source labels and administrative codes are not legal religious-status findings, present-status findings, enforcement findings, or a census. No donors, clergy, congregants, contacts, addresses, or natural-person records are published. Compilation CC BY 4.0; underlying source terms remain controlling.
  - Complete JSON: [data.json](https://ai-analytics.org/religious-accountability/data.json)
  - Institution NDJSON: [institution-records.ndjson](https://ai-analytics.org/religious-accountability/institution-records.ndjson)
  - Action NDJSON: [action-records.ndjson](https://ai-analytics.org/religious-accountability/action-records.ndjson)
  - Reviewed-source reverse index: [sources.json](https://ai-analytics.org/religious-accountability/sources.json)
  - JSON Schema: [schema.json](https://ai-analytics.org/religious-accountability/schema.json)
  - OpenAPI 3.1: [openapi.json](https://ai-analytics.org/religious-accountability/openapi.json)
  - Agent interpretation guide: [agents.txt](https://ai-analytics.org/religious-accountability/agents.txt)
  - Release manifest with SHA-256 and byte counts: [manifest.json](https://ai-analytics.org/religious-accountability/manifest.json)
  - Byte-exact publication authorization: [publication.json](https://ai-analytics.org/religious-accountability/publication.json)
  - Byte-exact receipt bindings: [receipt-bindings.json](https://ai-analytics.org/religious-accountability/receipt-bindings.json)
  - Byte-exact vendored evidence manifest: [evidence-manifest.json](https://ai-analytics.org/religious-accountability/evidence-manifest.json)
- [U.S. Real-Estate Brokerage Accountability Atlas](https://ai-analytics.org/real-estate-brokerage-accountability/): an institution-only U.S. evidence atlas with 14 source-bound institutional actions, 14 action-local institution records, 93 pinned official sources, and 5,735 aggregate measurements in two separately typed families. The Texas Department of Insurance family contributes 4,447 title-agent measurements. The national U.S. Census Bureau Economic Census family contributes 1,288 measurements from 222 exact national source rows covering 2017/2022 industry scale, 2022 firm concentration, employer size and legal-form distributions, and NAPCS product/service rows for NAICS 531210 and 541191. Records preserve exact action identifiers, procedural posture, admission status, current-effect labels, source receipts, source flags, imputation bands, and non-inference boundaries. Census revenue is not home-sale value, a commission pool, profit, or consumer price. National concentration and HHI do not define a legal relevant market or prove monopoly power, collusion, illegal conduct, consumer harm, or firm-level conduct. NAPCS total, parent, and child rows overlap and are not additive. No natural-person agents, individual brokers, consumers, homeowners, properties, contacts, addresses, source-local Firm IDs, or raw institution rows are included in the structured atlas or machine exports. Official source documents remain at their publisher URLs and under their publishers' terms. Repeated action-local legal names are not a distinct-entity count. AI Analytics compilation CC BY 4.0; underlying source terms remain controlling.
  - Complete JSON: [data.json](https://ai-analytics.org/real-estate-brokerage-accountability/data.json)
  - Compact action search: [search-index.json](https://ai-analytics.org/real-estate-brokerage-accountability/search-index.json)
  - Bounded action shard example: [action-shards/0001.json](https://ai-analytics.org/real-estate-brokerage-accountability/action-shards/0001.json)
  - Institution NDJSON: [organization-records.ndjson](https://ai-analytics.org/real-estate-brokerage-accountability/organization-records.ndjson)
  - Action NDJSON: [action-records.ndjson](https://ai-analytics.org/real-estate-brokerage-accountability/action-records.ndjson)
  - Aggregate measurement NDJSON: [market-measurements.ndjson](https://ai-analytics.org/real-estate-brokerage-accountability/market-measurements.ndjson)
  - Reviewed-source index: [sources.json](https://ai-analytics.org/real-estate-brokerage-accountability/sources.json)
  - JSON Schema: [schema.json](https://ai-analytics.org/real-estate-brokerage-accountability/schema.json)
  - OpenAPI 3.1: [openapi.json](https://ai-analytics.org/real-estate-brokerage-accountability/openapi.json)
  - Agent interpretation guide: [agents.txt](https://ai-analytics.org/real-estate-brokerage-accountability/agents.txt)
  - Release manifest: [manifest.json](https://ai-analytics.org/real-estate-brokerage-accountability/manifest.json)
  - Publication authorization: [publication.json](https://ai-analytics.org/real-estate-brokerage-accountability/publication.json)
  - Receipt bindings: [receipt-bindings.json](https://ai-analytics.org/real-estate-brokerage-accountability/receipt-bindings.json)
  - Evidence manifest: [evidence-manifest.json](https://ai-analytics.org/real-estate-brokerage-accountability/evidence-manifest.json)
  - Agent retrieval contract: for institutional actions, filter `search-index.json` first, then fetch the `action-shards/{shard}.json` value listed for the selected record. For aggregate analysis, filter `market-measurements.ndjson` by `datasetFamily` and preserve every source-value flag, imputation band, geography, universe, unit, NAICS basis, and non-inference boundary. Aggregate rows never become action records, firm identities, accusations, or rankings.
- [Voidly — Accountability Datasets hub](https://ai-analytics.org/voidly/): the grouped index of all sixteen Voidly datasets (how power stays hidden / what the law permits / who holds people), with the machine manifest linked.
- [Voidly — The Global Censorship Index](https://ai-analytics.org/voidly/censorship/): measurement methodology, source scope, public-index and historical-archive distinctions, data access, and dated technical writing. Snapshot September 8, 2026: 38M+ indexed measurements and a 130-country public index. Upstream reuse terms vary.
- [Verboten — The Global Banned-Books Index](https://ai-analytics.org/voidly/verboten/): structured, source-cited index of book censorship worldwide. 19,283 banned or restricted titles across 119 countries, 34,987 dated ban events, 35,230 source citations, with reason taxonomy. Per-country pages and a title lookup ("is this book banned in that country?"). Built on the banned-books.org Open Censorship Core (DOI 10.5281/zenodo.20795629); compilation CC BY 4.0.
  - [Search every title](https://ai-analytics.org/voidly/verboten/search/): look up any of 19,283 titles and see where it is banned.
  - Machine access (static JSON, no key/rate limit): manifest [/verboten/api/index.json](https://ai-analytics.org/verboten/api/index.json); per-country summary [/verboten/api/country/{ISO}.json](https://ai-analytics.org/verboten/api/country/IR.json) (ISO 3166-1 alpha-2); per-title detail for the 200 most-banned [/verboten/api/book/{slug}.json](https://ai-analytics.org/verboten/api/book/the-satanic-verses.json); title lookup index [/verboten/search-index.json](https://ai-analytics.org/verboten/search-index.json).
- [SpyLedger — The Surveillance-Industry Accountability Record](https://ai-analytics.org/voidly/spyledger/): source-cited record of the public corporate identity and government-designation status of 26 marquee spyware / mass-surveillance vendors (NSO Group, Intellexa/Cytrox, Candiru, Paragon, Cellebrite, Geedge, Sandvine/AppLogic, Protei, Hikvision, Dahua, Huawei, Megvii, SenseTime, iFLYTEK, Yitu, CloudWalk, Meiya Pico, ZTE, Hytera, Positive Technologies, Tiandy, NetPosa, DJI, Nuctech, i-SOON, Integrity Technology Group). Designations rebuilt from primary US/EU government feeds (BIS Entity List, OFAC SDN, Treasury NS-CMIC, FCC Covered List), each typed (export-control vs sanction vs equipment-authorization vs investment-restriction) and linked. The designation collection is a dated snapshot. A separate procurement collection records source-supported purchases, agency disclosures and oversight; a procurement record alone does not establish deployment. No targeting data or PII. Per-vendor dossiers + methodology; compilation CC BY 4.0.
  - Machine access (static JSON, no key): designation dataset [/spyledger/index.json](https://ai-analytics.org/spyledger/index.json).
  - [Procurement & oversight](https://ai-analytics.org/voidly/spyledger/procurement/): initial collection of 7 institutional records, 13 dated entries and 11 primary sources reviewed September 9, 2026. One verified award; reported termination, agency disclosures, privacy assessments and policy requirements remain distinct. Keyless JSON: [/spyledger/procurement.json](https://ai-analytics.org/spyledger/procurement.json). Unknown amounts are null; no cross-record spending total.
- [DarkRegister — The Beneficial-Ownership Transparency Tracker](https://ai-analytics.org/voidly/darkregister/): the public-access status of 62 national/territorial beneficial-ownership registers (EU-27, the UK/US/Ukraine/Canada, and major offshore financial centres — Cayman, BVI, Bermuda, Jersey, Guernsey, Switzerland, Singapore, Hong Kong, UAE, Seychelles, Mauritius, Bahamas, Belize, Liechtenstein and more) — which are public-open, legitimate-interest-gated, or closed following the 22 Nov 2022 CJEU judgment (joined cases C-37/20, C-601/20). A record of corporate-transparency rollback as state behavior, with the legal basis + a source per jurisdiction. Contains ZERO personal data (no owner names) by design. Compilation CC BY 4.0.
  - Machine access (static JSON, no key): register status [/darkregister/index.json](https://ai-analytics.org/darkregister/index.json); GLEIF open-ownership coverage [/darkregister/gleif-coverage.json](https://ai-analytics.org/darkregister/gleif-coverage.json).
- [US Sanctions Programs — A Reference to OFAC's Authorities](https://ai-analytics.org/voidly/sanctions-programs/): plain-language reference to 41 major US Treasury (OFAC) sanctions programs (26 country + 15 thematic, incl. terminated programs) — the Executive Orders, targets, scope, and status behind the program codes designations cite (RUSSIA-EO14024, SDGT, CMIC-EO13959, GLOMAG, NPWMD, ICC-EO14203 and more). Documents the PROGRAMS, never the designated persons — ZERO PII. Keyless JSON at /sanctions-programs/index.json. CC BY 4.0.
- [Right to Information — A Map of Access-to-Information Laws](https://ai-analytics.org/voidly/right-to-information/): reference map of national Right-to-Information / Freedom-of-Information laws across 61 countries (57 with a statutory right) — the law name, year of adoption, and oversight body per country, from official legal sources. The oldest dates to 1766 (Sweden). Records the LAW, not requesters or officials — ZERO PII; not a ranking (no proprietary scores). Keyless JSON at /rti-laws/index.json. CC BY 4.0.
- [Data Protection — A Map of Personal-Privacy Laws](https://ai-analytics.org/voidly/data-protection/): reference map of national data-protection / privacy laws across 61 countries (60 with a comprehensive statute; the US is sectoral-only) — the law name (GDPR, LGPD, PIPL, POPIA, PIPEDA…), year of adoption, and supervisory authority (DPA) per country, from official legal sources. The companion to Right to Information (the two halves of information rights). Records the LAW, not data subjects — ZERO PII; not a ranking. Keyless JSON at /data-protection/index.json. CC BY 4.0.
- [The Federal AI Use Case Inventory — Where Federal Agencies Report AI Use](https://ai-analytics.org/voidly/ai-inventory/): the consolidated 2025 inventory submitted by 41 federal agencies under EO 13960 §5, the Advancing American AI Act and OMB M-25-21 — 3,611 use cases across every lifecycle stage, 445 designated high-impact, consolidated by OMB's Office of the Federal CIO. For each high-impact system, whether the agency says it completed pre-deployment testing, an impact assessment, an independent review, ongoing monitoring, operator training, a human failsafe, an appeal process and public consultation: roughly 71% are silent on every one, and 16 of 445 report an established appeal process. A blank is published as unstated, never as a "no" — the register records what agencies did and did not claim, not an audit of what they did. Note the source's fourth designation value, 'Presumed High-Impact, but Not High-impact' (110 systems), is excluded from the 445; substring-matching "high-impact" overcounts by exactly that. Agency contact addresses were dropped in full, not filtered. Institution-level; ZERO PII. Keyless JSON at /ai-inventory/index.json. Public domain source (17 U.S.C. 105, by authorship — OMB ships no LICENSE file); compilation CC0.
- [Federal AI Inventory — Agency-Reported Vendor Field](https://ai-analytics.org/voidly/ai-inventory/vendors/): companion register for the 115 high-impact systems whose agency supplied a nonblank vendor_name field (99 reported deployed; 74 in the Law Enforcement topic area; 11 agencies). Every vendor_name and contracting_usage value is preserved as the agency reported it. A row is an AI use case, not a verified vendor, contract, award, UEI or corporate identity; comma/slash strings are not split, and placeholders, withheld labels, government/internal descriptions and open-source descriptions remain literal. Institution-level; ZERO PII. Keyless JSON at /ai-inventory/vendors.json. This is a view of the Federal AI Use Case Inventory, not a seventeenth Voidly dataset.
- [The Genetic Privacy Ledger — DNA Custody and the State Statute Wave](https://ai-analytics.org/voidly/genetic-privacy/): the 23andMe custody chain as 42 documented events — the 2023 credential-stuffing breach (~14,000 accounts opened, ~5.5M DNA Relatives + ~1.4-1.5M Family Tree profiles scraped per the company's own filings; the familiar 6.9M total is the sum, fixed by the UK ICO at 6,984,430), the ICO's £2.31M penalty (0.2% MFA adoption), the Chapter 11 sale of the genetic database to TTAM for $305M with a court-appointed Consumer Privacy Ombudsman, 40+ state AG actions, and settlements still resolving (procedural status stated per event) — plus the 12-state DTC genetic-privacy statute annex (consent/deletion/sample-destruction rights; IL + WY carry private rights of action) and the federal gap map (HIPAA inapplicable, GINA's insurance gaps, genetic data absent from the Bankruptcy Code's PII definition). Statutes, courts, regulators only; ZERO PII; no leaked material touched. Keyless JSON at /genetic-privacy/index.json. CC BY 4.0.
- [OrganWatch — US Organ-Procurement & Transplant Accountability](https://ai-analytics.org/voidly/organwatch/): a sourced public-record map of the US organ system — the federally designated Organ Procurement Organizations (OPOs), the CMS performance-tier/decertification regime, the OPTN/UNOS oversight structure and HRSA modernization, a 2019-2026 oversight timeline (Senate Finance, GAO, HHS-OIG, CMS, HRSA), and the for-profit tissue/body-donation industry (FDA actions, federal cases, published investigations). Institution-level facts only, each source-linked — ZERO PII (no patient/donor/decedent identities). Keyless JSON at /organwatch/index.json. CC BY 4.0.
- [Foreign-Held U.S. Farmland — Who Owns American Agricultural Land](https://ai-analytics.org/voidly/foreign-farmland/): the USDA AFIDA federal register aggregated — 46.3M acres of foreign-held US agricultural land through 2024-12-31 (3.6% of private ag land), by investor country (Canada 34%, China 0.5%), state, land use, and interest type, with a 15-year trend (2010-2024), the four countries of concern, the attribution-gap analysis (flagged secondary interests behind friendly-country attributions, six-fold growth in unattributed acres), the register's own GAO-documented defects, and the 31-state restriction-law wave. Per-country dossiers at /voidly/foreign-farmland/country/{name}/ (47 countries, e.g. /country/canada/). THE SHELL MAP at /voidly/foreign-farmland/shell-map/ draws the documented ownership chains node by node (land -> vehicles -> conduit jurisdictions -> ultimate owner or the point where the record goes dark); structured chains in the JSON under shellMap. Aggregate-level ONLY — the source register names individuals; this dataset never does (ZERO PII; only government-record-named entities). Keyless JSON at /foreign-farmland/index.json. CC0 (source: US public domain).
- [Section 117 Ledger — Foreign Money in US Higher Education](https://ai-analytics.org/voidly/section-117/): foreign gifts and contracts disclosed by US universities under Section 117 of the Higher Education Act, aggregated from the Department of Education cumulative public file — $62.4B across 117,152 transactions at 528 institutions (1981-2025), by institution (Harvard $4.0B, Cornell $3.0B, Carnegie Mellon $2.9B) and source country (Qatar $6.6B leads by dollars; UK leads by count), with named foreign-GOVERNMENT sources (e.g. Saudi Arabian Cultural Mission), the gov-flagged share per country, the 45-year trend, and the anonymity built into the statute (only ~3% of dollars carry a named source). Aggregate-only — no transaction-level records republished, ZERO personal data. Keyless JSON at /section117/index.json. CC0 (source: US public domain).
- [GridOwners — Who Owns US Generating Capacity](https://ai-analytics.org/voidly/grid-owners/): all 27,768 operable US generators (1.38 TW nameplate at 14,189 plants) resolved to entity-level owners from Form EIA-860 2025 Early Release — capacity by owner type (independent power producers 37.4% now out-own investor-owned utilities 32.4%), the top-100 owners (FPL 40.0 GW, TVA 35.4 GW, Constellation Nuclear 23.9 GW), split-ownership (Schedule 4) handling, state and technology tables. Entity-level; owner addresses never ingested; the 7 person-named owners (9 MW total) aggregated anonymously. Keyless JSON at /grid-owners/index.json. CC0 (source: US public domain).
- [The Detention Ledger — Who Runs ICE's Detention Beds](https://ai-analytics.org/voidly/detention/): all 208 ICE detention facilities from ICE's own statistics file (62,517 average daily population), with capacity, inspection status, guaranteed-minimum bed arithmetic, the FY19-FY26 panel, and an evidence-tiered operator spine that names a private operator only where a federal award or the operator's own SEC filing supports it. Zero PII: no detainee, death, or inspector records ingested; raw XLSX never republished. Keyless JSON at /detention/index.json. CC0 (source: US public domain).
- [The 287(g) Wave — Who Signed Up to Enforce Immigration Law](https://ai-analytics.org/voidly/287g/): every signed 287(g) agreement in ICE's own participating-agencies file — 2,123 agreements across 1,804 law-enforcement agencies in 38 states + Guam and the Northern Mariana Islands; 129 signed 2019-2020, 1,100 in 2025 alone, 894 in 2026 YTD; model split (1,417 Task Force / 528 Warrant Service Officer / 178 Jail Enforcement), signing wave by month, county FIPS joins (1,884 rows; 235 rows carry literal #N/A error strings, stated as 'no county recorded'), and the source file's own defect ledger (misspelled states and counties, a five-digit year, Outlook SafeLinks wrappers — preserved and corrected in the open). Agency-level, zero PII; raw workbook never republished. Keyless JSON at /287g/index.json. CC0 (source: US public domain).
- [The BOP Ledger — Every Federal Prison, the Government's Own Numbers](https://ai-analytics.org/voidly/bop/): every Federal Bureau of Prisons institution rebuilt weekly from BOP's own keyless JSON feeds — 133 institutions holding 138,106 people (security level, type, region, per-institution population; camps summed into parents), the 154-contract residential-reentry (halfway-house) layer with 55 named operators and 10,022 beds, the FY1980–FY2025 system population series, and the documented ban-and-reversal arc of federal private prisons. Includes a standing private-prison reappearance watch (the weekly build fails if BOP's PRIVATETOTAL goes non-zero), a federal event timeline, and an 8-statute state-law table with litigation status. Facility/system-level, zero PII (inmate locator and all individual-level/mortality endpoints categorically excluded); no rated capacity is published by BOP so no crowding claim is made. Keyless JSON at /bop/index.json. CC0 (source: US public domain).
- [Voidly datasets manifest](https://ai-analytics.org/voidly/datasets.json): one machine-readable manifest listing all sixteen Voidly accountability datasets (the censorship index, Verboten, SpyLedger, DarkRegister, Sanctions Programs, Right to Information, Data Protection, the Federal AI Use Case Inventory, the Genetic Privacy Ledger, OrganWatch, Foreign-Held Farmland, Section 117, GridOwners, the Detention Ledger, the 287(g) Wave, and the BOP Ledger) — each with its landing page, keyless JSON endpoint, latest counts, and license. Discover every endpoint in one fetch. Mixed CC BY 4.0 / CC0 licensing; zero PII.
- [US Federal Regulatory Data Hub](https://ai-analytics.org/regulatory/): 229 datasets from government sources, regulators/SROs, and derived indexes (including SEC, FINRA, FDA, OFAC, DOJ, EPA, CFPB, IRS, FEMA, CDC, NHTSA, FAA, CFTC, CMS, MSHA, and OSHA). 50M+ indexed source rows, source-specific refresh cadences, and keyless REST + MCP + JSON-LD access. The row figure is the sum of per-dataset coverage counts, not a count of distinct pages or URLs. Reuse terms vary by source.
- [Swarm SDK — Post-Quantum Drone Encryption](https://ai-analytics.org/swarm/): Documented SDK architecture, evaluation boundaries, and dated engineering notes. ML-KEM-768 + X25519 hybrid, MAVLink v2, Double Ratchet forward secrecy.

- [Nexcom Media](https://ai-analytics.org/nexcom/): publishing infrastructure and co-founder role; 78 publications across 62 places and regions, dated September 8, 2026. Current network: https://nexcommedia.org/network .
- [Voidly platform](https://ai-analytics.org/voidly/): observatory, private communication, agent tooling, and the preserved accountability dataset collection.
- [Voidpay](https://voidly.ai/pay): private agent work, signed terms, sealed task and result, and direct wallet settlement. Free proof: https://voidly.ai/pay/proofs . First-party demonstration and limitations: https://voidly.ai/pay/verify .

## Open data — Voidly

- [voidly.ai](https://voidly.ai): live censorship dashboard
- [voidly.ai/api-docs](https://voidly.ai/api-docs): REST API documentation
- [HuggingFace: global-censorship-index](https://huggingface.co/datasets/emperor-mew/global-censorship-index): primary dataset, CSV
- [HuggingFace: ooni-censorship-historical](https://huggingface.co/datasets/emperor-mew/ooni-censorship-historical): historical OONI corpus; consult the repository for current files and source terms
- [MCP server (Voidly)](https://github.com/voidly-ai/mcp-server): public agent integration; consult current documentation at https://voidly.ai/api-docs/mcp

## Keyless data — Federal Regulatory

- [api.ai-analytics.org](https://api.ai-analytics.org): Federal Regulatory Data Hub REST API — no auth required; reuse terms vary by source
- [api.ai-analytics.org/mcp](https://api.ai-analytics.org/mcp): MCP server, 73 tools, JSON-RPC over Streamable HTTP
- [api.ai-analytics.org/coverage](https://api.ai-analytics.org/coverage): live per-dataset indexed row counts
- [api.ai-analytics.org/llms.txt](https://api.ai-analytics.org/llms.txt): API-level llms.txt for the regulatory catalog
- [api.ai-analytics.org/today.md](https://api.ai-analytics.org/today.md): what happened in federal regulatory today (Markdown)
- [api.ai-analytics.org/entity/XOM](https://api.ai-analytics.org/entity/XOM): example cross-agency timeline (ExxonMobil, SEC + EPA)

## Federal data guides

Curated topic maps that cluster the federal-data deep-dives and cross-dataset analyses by domain — each a single starting point into the catalog.

- [Federal data guides — index](https://ai-analytics.org/guides/): all 11 topic guides.
- [Financial & Markets](https://ai-analytics.org/guides/financial-regulatory-data/): SEC filings, banking (FDIC/OCC/Fed/NCUA), securities enforcement, lending.
- [Healthcare](https://ai-analytics.org/guides/healthcare-data/): CMS providers, ownership, quality, infections, Medicare enrollment.
- [Public Health](https://ai-analytics.org/guides/public-health-data/): CDC mortality, chronic disease, excess deaths, local health measures.
- [Safety](https://ai-analytics.org/guides/safety-data/): NHTSA vehicles, FAA aviation, FRA rail, MSHA mining, OSHA workplace.
- [Environment & Energy](https://ai-analytics.org/guides/environment-energy-data/): EPA enforcement and water, EIA generators, NRC, energy infrastructure.
- [Money & Politics](https://ai-analytics.org/guides/money-politics-spending-data/): FEC committees, lobbying, federal contracts and spending, grants.
- [Enforcement & Oversight](https://ai-analytics.org/guides/enforcement-oversight-data/): DOJ, FTC, Inspectors General, GAO, compliance screening.
- [Trade, Immigration & Labor](https://ai-analytics.org/guides/trade-immigration-labor-data/): sanctions and export controls, trade flows, the visa pipeline, jobs and wages, pensions.
- [Disasters & Hazards](https://ai-analytics.org/guides/disasters-hazards-data/): FEMA declarations, recovery, mitigation, flood insurance; NWS/NOAA/USGS hazards.
- [Education & Research](https://ai-analytics.org/guides/education-research-data/): higher-ed statistics and outcomes, K-12 achievement, NSF/NIH research funding.
- [US Economic Indicators](https://ai-analytics.org/guides/economic-indicators-data/): inflation (CPI/PPI), GDP, the jobs report, interest rates, the federal checkbook, home prices.

## Open source

- [github.com/voidly-ai](https://github.com/voidly-ai): Voidly probes, MCP server, agent SDK, and datasets; consult each repository for its license and maintenance status
- [github.com/AI-Analytics-org](https://github.com/AI-Analytics-org): organization profile

## Technical writing

- [What the Federal AI Inventory Leaves Unstated](https://ai-analytics.org/writing/federal-ai-inventory-safeguards/) — 2026-08-21
- [The Custody Chain: Fifteen Million Genomes, One Bankruptcy Court](https://ai-analytics.org/writing/the-custody-chain/) — 2026-07-18
- [Fourteen Thousand to Zero: The Federal Private-Prison Ban That Outlived Its Reversal](https://ai-analytics.org/writing/fourteen-thousand-to-zero/) — 2026-07-11
- [The Beds and the Badges: Two ICE Files, One Map](https://ai-analytics.org/writing/beds-and-the-badges/) — 2026-07-11
- [Guaranteed Empty: The Bed Floor in ICE’s Own Arithmetic](https://ai-analytics.org/writing/guaranteed-empty/) — 2026-07-11
- [No Result on Record: The Inspection Blanks in ICE’s Own File](https://ai-analytics.org/writing/no-result-on-record/) — 2026-07-11
- [The County Is the Shell: Who Signs for America’s Detention Beds](https://ai-analytics.org/writing/county-is-the-shell/) — 2026-07-11
- [The Grid Has New Landlords: What 1.38 Terawatts of Ownership Filings Show](https://ai-analytics.org/writing/grid-new-landlords/) — 2026-07-09
- [The Disclosure Law That Hides the Donor](https://ai-analytics.org/writing/disclosure-law-hides-the-donor/) — 2026-07-08
- [Sixty-Two Billion Dollars: Reading the Ledger of Foreign Money in US Universities](https://ai-analytics.org/writing/foreign-money-us-universities/) — 2026-07-08
- [The Hong Kong Question: One Territory, Five Federal Answers](https://ai-analytics.org/writing/hong-kong-question/) — 2026-07-08
- [Follow Every Flag: What the Shell Map Reveals About Foreign-Held US Land](https://ai-analytics.org/writing/follow-every-flag/) — 2026-07-08
- [Thirty States Banned Foreign Farmland Ownership. Each Banned Something Different.](https://ai-analytics.org/writing/state-farmland-restriction-wave/) — 2026-07-08
- [The Shell Game in the Farmland Register: Friendly Flags and the Attribution Gap](https://ai-analytics.org/writing/farmland-register-shell-game/) — 2026-07-08
- [Who Owns American Farmland: Reading the Federal Register of Foreign-Held Land](https://ai-analytics.org/writing/who-owns-american-farmland/) — 2026-07-08
- [OrganWatch: What the Public Record Shows About the US Organ System](https://ai-analytics.org/writing/organwatch-what-the-record-shows/) — 2026-06-24
- [Which Organ Procurement Organizations Are Failing: The CMS Tier Map](https://ai-analytics.org/writing/which-opos-are-failing/) — 2026-06-23
- [Who Buys the Dead: The Demand Side of the US Body Trade](https://ai-analytics.org/writing/who-buys-the-dead/) — 2026-06-23
- [The Body Trade on Trial: What the US Court Record Shows](https://ai-analytics.org/writing/body-trade-on-trial/) — 2026-06-23
- [Check Your State: Where the Unclaimed Dead Can Be Used Without Consent](https://ai-analytics.org/writing/unclaimed-body-consent-by-state/) — 2026-06-23
- [How Organs Are Taken From the Dying: Federal Findings on the Procurement-vs-Care Line](https://ai-analytics.org/writing/how-organs-are-taken-from-the-dying/) — 2026-06-23
- [The Money Behind the US Organ System: Nine-Figure Nonprofits and a Cost-Plus Monopoly](https://ai-analytics.org/writing/organ-tissue-follow-the-money/) — 2026-06-23
- [Used Without Consent: Unclaimed Bodies and the Holes in US Donation Law](https://ai-analytics.org/writing/unclaimed-bodies-consent-gap/) — 2026-06-23
- [The US Organ System, in the Government’s Own Records: A Monopoly Under Decertification](https://ai-analytics.org/writing/us-organ-procurement-accountability/) — 2026-06-23
- [Information Rights Have Two Sides: Access and Protection, Mapped Together](https://ai-analytics.org/writing/information-rights-two-sides/) — 2026-06-23
- [When a Breach Happens: How One Cyber Incident Surfaces Across Federal Disclosure Regimes](https://ai-analytics.org/writing/cyber-incident-disclosure-federal-data/) — 2026-06-23
- [Not All Lists Are Sanctions: A Field Guide to US Restriction Regimes](https://ai-analytics.org/writing/us-restriction-regimes-field-guide/) — 2026-06-23
- [The Recall Web: How US Product Recalls Are Split Across Four Agencies](https://ai-analytics.org/writing/recall-web-federal-data/) — 2026-06-23
- [The Influence Pipeline: Campaign Money, Lobbying, and Federal Contracts](https://ai-analytics.org/writing/influence-pipeline-federal-data/) — 2026-06-23
- [Following a Nonprofit Through Federal Data: Status, Finances, and Federal Award Obligations](https://ai-analytics.org/writing/nonprofit-sector-federal-data/) — 2026-06-23
- [From Lab to Market: Tracing Federally Funded Research into Patents and Products](https://ai-analytics.org/writing/research-to-product-federal-data/) — 2026-06-23
- [The Drug Lifecycle in Federal Data: From Approval to the Pharmacy Counter](https://ai-analytics.org/writing/drug-lifecycle-federal-data/) — 2026-06-22
- [The Voidly Accountability Stack: Sixteen Datasets on Secrecy, Rights, and Harm](https://ai-analytics.org/writing/voidly-accountability-stack/) — 2026-06-22
- [DarkRegister: Tracking the Rollback of Corporate-Ownership Transparency](https://ai-analytics.org/writing/darkregister-beneficial-ownership-rollback/) — 2026-06-22
- [SpyLedger: A Source-Cited Record of the Surveillance Industry](https://ai-analytics.org/writing/spyledger-surveillance-accountability/) — 2026-06-22
- [What the World Bans, and Why: Patterns in 35,000 Book-Censorship Records](https://ai-analytics.org/writing/what-the-world-bans-and-why/) — 2026-06-22
- [Verboten: Building a Queryable Index of Where Books Are Banned](https://ai-analytics.org/writing/verboten-banned-books-index/) — 2026-06-22
- [Trade, Sanctions, and Export Controls: Joining the Rules to the Goods That Move](https://ai-analytics.org/writing/trade-and-sanctions-federal-data/) — 2026-06-21
- [The EPA Facility 360: Joining Waste, Toxic Releases, Air, and Enforcement Data](https://ai-analytics.org/writing/environmental-enforcement-federal-data/) — 2026-06-21
- [The Natural Hazards Picture: From NWS Warning to NOAA Storm to FEMA Declaration](https://ai-analytics.org/writing/natural-hazards-federal-data/) — 2026-06-21
- [The Food Safety System: Joining CDC Outbreaks with FSIS and FDA Recalls](https://ai-analytics.org/writing/food-safety-federal-data/) — 2026-06-21
- [The US Power Grid in Data: Joining EIA Plants, Ownership, Generation, and FERC](https://ai-analytics.org/writing/energy-infrastructure-federal-data/) — 2026-06-21
- [The Federal Research Enterprise: Joining NSF, NIH, and Research-Misconduct Data](https://ai-analytics.org/writing/research-funding-pipeline-federal-data/) — 2026-06-21
- [Is College Worth It? Measuring Value by Joining IPEDS and the College Scorecard](https://ai-analytics.org/writing/college-value-federal-data/) — 2026-06-21
- [The Employment-Immigration Pipeline: From Labor Certification to H-1B Approval](https://ai-analytics.org/writing/employment-immigration-pipeline-federal-data/) — 2026-06-21
- [How a Federal Rule Is Made: Tracing the Rulemaking Lifecycle Across Federal Data](https://ai-analytics.org/writing/federal-rulemaking-lifecycle-federal-data/) — 2026-06-21
- [The Worker Safety Record: Joining OSHA Inspections, Citations, and Injuries](https://ai-analytics.org/writing/worker-safety-federal-data/) — 2026-06-21
- [The Disaster Cycle: Tracing One Catastrophe Through FEMA Federal Data](https://ai-analytics.org/writing/disaster-cycle-federal-data/) — 2026-06-21
- [The Corporate Securities Lifecycle: One Company Across EDGAR on a Single Key](https://ai-analytics.org/writing/corporate-securities-lifecycle-federal-data/) — 2026-06-21
- [The Opioid Epidemic in Three Federal Datasets: Distribution, Death, and Treatment](https://ai-analytics.org/writing/opioid-epidemic-federal-data/) — 2026-06-21
- [The Anatomy of a Bank Failure: Reading the Federal Data Before a Bank Goes Under](https://ai-analytics.org/writing/bank-failure-anatomy-federal-data/) — 2026-06-21
- [The Vehicle Safety Pipeline: From Owner Complaint to Recall to the Death Toll](https://ai-analytics.org/writing/vehicle-safety-pipeline-federal-data/) — 2026-06-21
- [The Aviation Safety Pipeline: From NTSB Accident to FAA Airworthiness Directive](https://ai-analytics.org/writing/aviation-safety-pipeline-federal-data/) — 2026-06-21
- [Mortality in America: Assembling the Full Picture from Federal Death Data](https://ai-analytics.org/writing/mortality-in-america-federal-data/) — 2026-06-21
- [Healthcare Consolidation: Tracing Hospital and Nursing-Home Roll-Ups Through Federal Data](https://ai-analytics.org/writing/healthcare-consolidation-federal-data/) — 2026-06-21
- [Following the Money: Joining Federal Campaign Finance, Lobbying, and Spending Data](https://ai-analytics.org/writing/following-the-money-federal/) — 2026-06-21
- [CMS Home Infusion Therapy Suppliers: The Federal Record of a New Medicare Benefit](https://ai-analytics.org/writing/cms-home-infusion/) — 2026-06-21
- [EIA Generator Ownership: The Federal Record of Who Owns America’s Power Plants](https://ai-analytics.org/writing/eia-owners/) — 2026-06-21
- [EPA Public Water Systems: The Federal Inventory of Every System That Delivers US Drinking Water](https://ai-analytics.org/writing/epa-public-water-systems/) — 2026-06-21
- [FAA Airworthiness Directives: The Federal Record of Mandatory Aircraft Safety Fixes](https://ai-analytics.org/writing/faa-airworthiness-directives/) — 2026-06-21
- [CDC Leading Causes of Death by State: The Federal Ranking of How Americans Die](https://ai-analytics.org/writing/cdc-leading-causes-of-death/) — 2026-06-21
- [CMS Hospital Ownership: The Federal Record of Who Owns America’s Hospitals](https://ai-analytics.org/writing/cms-hospital-owners/) — 2026-06-21
- [FDA Tobacco Product Problem Reports: The Federal Record of Vaping and Tobacco Hazards](https://ai-analytics.org/writing/fda-tobacco-problems/) — 2026-06-21
- [FDA Animal & Veterinary Adverse Events: The Federal Record of Veterinary Drug Safety](https://ai-analytics.org/writing/fda-animal-vet/) — 2026-06-21
- [CMS Change of Ownership: The Federal Record of Hospital and Nursing-Home M&A](https://ai-analytics.org/writing/cms-provider-chow/) — 2026-06-21
- [NHTSA Recall Completion: The Federal Record of Whether Recalled Cars Actually Get Fixed](https://ai-analytics.org/writing/nhtsa-recall-completion/) — 2026-06-21
- [FDA Device Establishment Registration: The Federal Map of the Medical-Device Supply Chain](https://ai-analytics.org/writing/fda-device-establishments/) — 2026-06-21
- [CDC Suicide Mortality: The Federal Record of a Public-Health Crisis Over Seven Decades](https://ai-analytics.org/writing/cdc-suicide/) — 2026-06-21
- [NHTSA Defect Investigations: The Federal Record of What Leads to a Recall](https://ai-analytics.org/writing/nhtsa-investigations/) — 2026-06-21
- [FDA PMA Approvals: The Federal Record of How High-Risk Medical Devices Reach Market](https://ai-analytics.org/writing/fda-device-pma/) — 2026-06-21
- [CMS Opioid Treatment Programs: The Federal Record of Medicare Access to Addiction Care](https://ai-analytics.org/writing/cms-opioid-treatment/) — 2026-06-21
- [NASA OIG Reports: The Federal Record of Auditing the Space Program](https://ai-analytics.org/writing/nasa-oig/) — 2026-06-21
- [SEC Comment Letters: The Federal Record of How Disclosure Is Actually Enforced](https://ai-analytics.org/writing/sec-comment-letters/) — 2026-06-21
- [CMS FQHCs and Rural Health Clinics: The Federal Record of the Medicare Safety Net](https://ai-analytics.org/writing/cms-fqhc-rhc/) — 2026-06-21
- [Oversight.gov: The Federal Record of Every Inspector General Report in One Place](https://ai-analytics.org/writing/oversight-reports/) — 2026-06-21
- [SEC Administrative Proceedings: The Federal Record of the SEC’s In-House Enforcement](https://ai-analytics.org/writing/sec-admin-proceedings/) — 2026-06-21
- [CISA Known Exploited Vulnerabilities: The Federal List of What Attackers Are Actually Using](https://ai-analytics.org/writing/cisa-kev/) — 2026-06-21
- [FEMA Firefighter Grants: The Federal Record of Funding the Fire Service](https://ai-analytics.org/writing/fema-afg-grants/) — 2026-06-21
- [SEC Litigation Releases: The Federal Record of Securities Cases Filed in Court](https://ai-analytics.org/writing/sec-litigation-releases/) — 2026-06-21
- [NCUA Enforcement: The Federal Record of Actions Against Credit Unions](https://ai-analytics.org/writing/ncua-enforcement/) — 2026-06-21
- [VA Inspector General Reports: The Federal Record of Oversight at Veterans Affairs](https://ai-analytics.org/writing/va-oig/) — 2026-06-21
- [Federal Lobbying Disclosures: The Public Record of Who Is Paid to Influence Washington](https://ai-analytics.org/writing/lobbying-activity/) — 2026-06-21
- [DOJ Inspector General Reports: The Federal Record of Watching the Watchmen](https://ai-analytics.org/writing/doj-oig/) — 2026-06-21
- [FEMA Hazard Mitigation: The Federal Record of Spending to Prevent the Next Disaster](https://ai-analytics.org/writing/fema-hma-projects/) — 2026-06-21
- [SEC Form D: The Federal Record of Private Securities Offerings](https://ai-analytics.org/writing/sec-form-d/) — 2026-06-21
- [NWS Weather Alerts: The Federal Feed of Every Active Warning and Watch](https://ai-analytics.org/writing/weather-alerts/) — 2026-06-21
- [Federal Reserve Enforcement: The Federal Record of Actions Against Bank Holding Companies](https://ai-analytics.org/writing/fed-enforcement/) — 2026-06-21
- [DOJ Antitrust Cases: The Federal Record of Government Competition Enforcement](https://ai-analytics.org/writing/doj-atr/) — 2026-06-21
- [GovInfo Congressional Hearings: The Federal Record of What Witnesses Tell Congress](https://ai-analytics.org/writing/govinfo-chrg/) — 2026-06-21
- [FEMA Public Assistance: The Federal Record of How Disaster Recovery Money Is Spent](https://ai-analytics.org/writing/fema-pa-summaries/) — 2026-06-21
- [CFTC Enforcement: The Federal Record of Derivatives and Crypto Market Actions](https://ai-analytics.org/writing/cftc-actions/) — 2026-06-21
- [NSF Awards: The Federal Record of Who Gets US Science Funding](https://ai-analytics.org/writing/nsf-awards/) — 2026-06-21
- [OCC Enforcement: The Federal Record of Actions Against National Banks](https://ai-analytics.org/writing/occ-enforcement/) — 2026-06-21
- [US Public Laws: The Federal Record of Every Law Congress Has Enacted](https://ai-analytics.org/writing/public-laws/) — 2026-06-21
- [NRC Enforcement: The Federal Record of Nuclear Safety Violations](https://ai-analytics.org/writing/nrc-enforcement/) — 2026-06-21
- [GAO Reports: The Federal Database Behind Congress’s Watchdog](https://ai-analytics.org/writing/gao-reports/) — 2026-06-21
- [DOL OFLC Disclosures: The Federal Record of Employer Visa-Labor Applications](https://ai-analytics.org/writing/dol-oflc-disclosures/) — 2026-06-21
- [PBGC Trusteed Pensions: The Federal Record of Every Dead Corporate Pension](https://ai-analytics.org/writing/pbgc-trusteed-plans/) — 2026-06-21
- [FTC Enforcement: The Federal Record of Consumer-Protection and Antitrust Actions](https://ai-analytics.org/writing/ftc-press/) — 2026-06-21
- [SEC 8-K Filings: The Federal Record of Every Material Corporate Event](https://ai-analytics.org/writing/sec-8k-filings/) — 2026-06-21
- [FRA Rail Accidents: The Federal Record of Every Reportable US Railroad Incident](https://ai-analytics.org/writing/fra-rail-accidents/) — 2026-06-21
- [MSHA Violations: The Federal Record of Every Citation Written at a US Mine](https://ai-analytics.org/writing/msha-violations/) — 2026-06-21
- [SEC Financial Statement Facts: The Structured XBRL Behind Every 10-K and 10-Q](https://ai-analytics.org/writing/sec-financial-facts/) — 2026-06-21
- [USGS Earthquakes: The Federal Catalog of Every Significant Global Quake](https://ai-analytics.org/writing/usgs-quakes-bulk/) — 2026-06-21
- [USCIS H-1B Data: The Federal Record of Who Sponsors Skilled Foreign Workers](https://ai-analytics.org/writing/uscis-h1b/) — 2026-06-21
- [DOL Form 5500: The Federal Window Into Every US Pension and 401(k) Plan](https://ai-analytics.org/writing/dol-form-5500/) — 2026-06-21
- [CRS Reports: The Federal Database Behind Congress’s Own Nonpartisan Research](https://ai-analytics.org/writing/crs-reports/) — 2026-06-21
- [FINRA BrokerCheck Firms: The Federal-Adjacent Registry of Every US Broker-Dealer](https://ai-analytics.org/writing/finra-firms/) — 2026-06-21
- [USASpending Contracts: The Federal Record of Every Dollar the Government Buys](https://ai-analytics.org/writing/usaspending-contracts/) — 2026-06-21
- [CMS Revoked Providers: The Federal List of Who Lost the Right to Bill Medicare](https://ai-analytics.org/writing/cms-revoked-providers/) — 2026-06-21
- [CDC PLACES: The Federal Model of Health for Every US Census Tract](https://ai-analytics.org/writing/cdc-places-tract/) — 2026-06-21
- [CDC Excess Deaths: The Federal Measure of How Many More Americans Died Than Expected](https://ai-analytics.org/writing/cdc-excess-deaths/) — 2026-06-21
- [FEC Committees: The Federal Registry of Every PAC, Super PAC, and Campaign Committee](https://ai-analytics.org/writing/fec-committees/) — 2026-06-21
- [HHS-OIG Enforcement: The Federal Record of Healthcare Fraud Settlements and Penalties](https://ai-analytics.org/writing/hhs-oig-enforcement/) — 2026-06-21
- [CMS HCAHPS: The Federal Survey of What Patients Say About Every US Hospital](https://ai-analytics.org/writing/cms-hospital-hcahps/) — 2026-06-21
- [FDIC Enforcement Actions: The Federal Record of Orders Against Banks and Bankers](https://ai-analytics.org/writing/fdic-enforcement/) — 2026-06-21
- [CMS Hospital Service Area: The Federal Map of Where Every Hospital’s Patients Come From](https://ai-analytics.org/writing/cms-hospital-service-area/) — 2026-06-21
- [Trade.gov Consolidated Screening List: The Federal Index of Who US Exporters Cannot Do Business With](https://ai-analytics.org/writing/trade-screening/) — 2026-06-21
- [CDC Injury Mortality: The Federal Record of How Americans Die from Firearms, Overdoses, and Crashes](https://ai-analytics.org/writing/cdc-injury-mortality/) — 2026-06-21
- [CMS Healthcare-Associated Infections: The Federal Record of CLABSI, CAUTI, MRSA, and C. diff in US Hospitals](https://ai-analytics.org/writing/cms-hospital-infections/) — 2026-06-21
- [FDIC Call Reports: The Federal Database Behind Every US Bank’s Quarterly Financials](https://ai-analytics.org/writing/fdic-financials/) — 2026-06-21
- [OSHA Severe Injury Reports: The Federal Record of Amputations and Hospitalizations Since 2015](https://ai-analytics.org/writing/osha-severe-injuries/) — 2026-06-21
- [FDIC Institutions: The Federal Registry of Every US Bank, Active and Historical](https://ai-analytics.org/writing/fdic-institutions/) — 2026-06-21
- [SEC 13F Institutional Holdings: The Federal Database Behind What the Big Money Owns](https://ai-analytics.org/writing/sec-13f-holdings/) — 2026-06-21
- [HMDA Mortgage Lender Filings: The Federal Record of Who Reports Under the Home Mortgage Disclosure Act](https://ai-analytics.org/writing/hmda-filers/) — 2026-06-21
- [SBA PPP Loans: The Federal Database Behind 11.8 Million Pandemic Paycheck Protection Loans](https://ai-analytics.org/writing/sba-ppp-loans/) — 2026-06-21
- [EPA Safe Drinking Water Act Site Visits: The Federal Record of Public Water System Inspections](https://ai-analytics.org/writing/epa-sdwa-site-visits/) — 2026-06-01
- [EPA ICIS-Air: The Federal Database Behind Clean Air Act Stationary Source Compliance](https://ai-analytics.org/writing/epa-icis-air/) — 2026-06-01
- [CDC Nutrition, Physical Activity, and Obesity: The Federal Surveillance Record of American Health Behavior](https://ai-analytics.org/writing/cdc-npao-states/) — 2026-06-01
- [CMS Post-Acute Care Utilization: The Federal Database Behind Home Health, Hospice, and Skilled Nursing Spending](https://ai-analytics.org/writing/cms-pac-utilization/) — 2026-06-01
- [NVD CVE Database: The Federal Record of Every Known Software Vulnerability](https://ai-analytics.org/writing/nvd-cves/) — 2026-06-01
- [CMS Provider Ownership: The Federal Database Behind Private Equity in Nursing Homes, Home Health, and Hospice](https://ai-analytics.org/writing/cms-provider-ownership/) — 2026-06-01
- [SAM Exclusions and Debarments: The Federal List of Who Cannot Win Government Contracts](https://ai-analytics.org/writing/sam-debarments/) — 2026-06-01
- [FDA National Drug Code Directory: The Federal Index of Every US Drug Product](https://ai-analytics.org/writing/fda-ndc/) — 2026-06-01
- [FAA Airmen Certification Database: The Federal Record of Every US Pilot and Mechanic](https://ai-analytics.org/writing/faa-airmen/) — 2026-06-01
- [FAA Aircraft Registry: The Federal Database Behind Every N-Numbered US Aircraft](https://ai-analytics.org/writing/faa-aircraft/) — 2026-06-01
- [CFTC Commitments of Traders: The Federal Database Behind Futures Market Positioning](https://ai-analytics.org/writing/cftc-cot/) — 2026-06-01
- [FDA Device Classification Database: The Federal System Behind Every Medical Device Type](https://ai-analytics.org/writing/fda-device-classifications/) — 2026-06-01
- [CMS Doctors and Clinicians: The Federal Database Behind Every Medicare Physician](https://ai-analytics.org/writing/cms-doctors/) — 2026-06-01
- [EPA Enforcement Defendants: The Federal Database Behind 200,000 Environmental Cases](https://ai-analytics.org/writing/epa-enforcement-defendants/) — 2026-06-01
- [SEC Form 144: The Federal Database Behind Insider Sales of Restricted and Control Stock](https://ai-analytics.org/writing/sec-form-144/) — 2026-06-01
- [SEC EDGAR Company Registry: The Federal Index That Resolves Every Public Company](https://ai-analytics.org/writing/sec-companies/) — 2026-06-01
- [SEC N-PORT Mutual Fund Holdings: The Federal Database Behind Every Fund Portfolio Position](https://ai-analytics.org/writing/sec-nport-holdings/) — 2026-06-01
- [SEC Schedule 13D Filings: The Federal Database Behind Activist Investor Stakes](https://ai-analytics.org/writing/sec-schedule-13d/) — 2026-06-01
- [FRA Highway-Rail Grade Crossing Inventory: The Federal Database Behind 250,000 Railroad Crossings](https://ai-analytics.org/writing/fra-grade-crossings/) — 2026-06-01
- [FMCSA Crash Data: The Federal Database Behind Large Truck and Bus Crashes](https://ai-analytics.org/writing/fmcsa-crashes/) — 2026-06-01
- [EPA Pollutant Emissions: The Federal Database Behind 10 Million Facility-Level Air and Toxic Release Records](https://ai-analytics.org/writing/epa-pollutant-emissions/) — 2026-06-01
- [FMCSA Motor Carrier Census: The Federal Database Behind 2 Million Registered Trucking Companies](https://ai-analytics.org/writing/fmcsa-carriers/) — 2026-06-01
- [IRS Exempt Organizations BMF: Recognition, Coverage, and Blind Spots](https://ai-analytics.org/writing/irs-exempt-organizations/) — 2026-06-01
- [FDA Food Enforcement Reports: The Federal Database Behind Food and Cosmetic Recalls](https://ai-analytics.org/writing/fda-food-enforcement/) — 2026-06-01
- [BLS Occupational Employment and Wage Statistics: The Federal Database Behind Median Salary Data for Every US Occupation](https://ai-analytics.org/writing/bls-oews/) — 2026-05-25
- [CFPB Consumer Complaint Database: The Federal Record Behind 3 Million Financial Product Complaints](https://ai-analytics.org/writing/cfpb-complaints/) — 2026-05-25
- [FARA Foreign Agent Registrations: The Federal Database Behind Foreign Lobbying and Influence Disclosure](https://ai-analytics.org/writing/fara-registrations/) — 2026-05-25
- [SEC Form 4 Insider Trading: The Federal Database Behind Corporate Insider Stock Transactions](https://ai-analytics.org/writing/sec-form-4/) — 2026-05-25
- [NLRB Elections and Labor Enforcement Data: The Federal Database Behind Union Organizing and Unfair Labor Practice Cases](https://ai-analytics.org/writing/nlrb-elections-labor-enforcement/) — 2026-05-25
- [NTSB Aviation Accident Database: The Federal Record Behind Every US Aircraft Accident Investigation](https://ai-analytics.org/writing/ntsb-aviation-accidents/) — 2026-05-24
- [NOAA Storm Events Database: The Federal Record Behind 50 Years of US Weather Disasters](https://ai-analytics.org/writing/noaa-storm-events/) — 2026-05-25
- [USAID Foreign Assistance Data: Tracing $50 Billion in Annual US Development Spending](https://ai-analytics.org/writing/usaid-foreign-assistance/) — 2026-05-24
- [NHTSA Vehicle Safety Complaints: The Federal Database Behind Auto Defect Investigations and Recalls](https://ai-analytics.org/writing/nhtsa-vehicle-complaints/) — 2026-05-25
- [EPA RCRA Hazardous Waste Data: The Federal Database Behind 400,000 Regulated Facilities](https://ai-analytics.org/writing/epa-rcra-hazardous-waste/) — 2026-05-25
- [EIA Form 860: The Federal Database Behind Every US Power Plant and Electricity Generator](https://ai-analytics.org/writing/eia-form-860-power-plants/) — 2026-05-25
- [NCES IPEDS: The Federal Database Behind Higher Education Statistics for 6,000 US Colleges](https://ai-analytics.org/writing/nces-ipeds-higher-education/) — 2026-05-25
- [OFAC Civil Penalties: The Federal Database Behind Sanctions Violations and Treasury Enforcement](https://ai-analytics.org/writing/ofac-civil-penalties/) — 2026-05-25
- [ORI Research Misconduct Database: The Federal Record Behind Scientific Fraud and Fabrication](https://ai-analytics.org/writing/ori-research-misconduct/) — 2026-05-25
- [USASpending Subawards: The Federal Database Behind Sub-Grant and Sub-Contract Flow Tracking](https://ai-analytics.org/writing/usaspending-subawards/) — 2026-05-25
- [FEC Super PAC and Dark Money Data: The Federal Database Behind Outside Political Spending](https://ai-analytics.org/writing/fec-dark-money-super-pacs/) — 2026-05-25
- [Congressional Voting Records: The Federal Database Behind Every House and Senate Roll Call Vote](https://ai-analytics.org/writing/congress-voting-records/) — 2026-05-24
- [Grants.gov: The Federal Database Behind $500 Billion in Annual Federal Grant Opportunities](https://ai-analytics.org/writing/grants-gov-federal-grants/) — 2026-05-24
- [EPA Drinking Water Violations: The Federal Database Behind Safe Drinking Water Act Enforcement](https://ai-analytics.org/writing/epa-drinking-water-violations/) — 2026-05-24
- [Regulations.gov: The Federal Database Behind 25 Million Public Comments on US Rulemaking](https://ai-analytics.org/writing/regulations-gov-dockets/) — 2026-05-24
- [FHWA HPMS: The Federal Database Behind US Road Condition and Highway Performance Monitoring](https://ai-analytics.org/writing/fhwa-hpms-highway-data/) — 2026-05-24
- [FAA Civil Aviation Registry: The Federal Database Behind 700,000 Pilots and 300,000 Aircraft](https://ai-analytics.org/writing/faa-civil-aviation-registry/) — 2026-05-24
- [DOE EV Charging Station Data: The Federal Database Behind 180,000 US Alternative Fuel Stations](https://ai-analytics.org/writing/doe-ev-charging-stations/) — 2026-05-24
- [USGS Wind and Solar Energy Data: The Federal Database Behind US Renewable Energy Infrastructure](https://ai-analytics.org/writing/usgs-wind-solar-energy/) — 2026-05-24
- [SBA Loan Programs: The Federal Database Behind $50 Billion in Annual Small Business Financing](https://ai-analytics.org/writing/sba-loan-programs/) — 2026-05-24
- [US Attorney Prosecution Data: The Federal Database Behind 80,000 Annual Criminal Cases](https://ai-analytics.org/writing/usao-prosecution-data/) — 2026-05-24
- [SAMHSA Treatment Data: The Federal Database Behind Substance Abuse and Mental Health Program Statistics](https://ai-analytics.org/writing/samhsa-treatment-data/) — 2026-05-24
- [PHMSA Pipeline Safety Data: The Federal Database Behind Gas and Liquid Pipeline Incidents](https://ai-analytics.org/writing/phmsa-pipeline-safety/) — 2026-05-24
- [CDC Foodborne Outbreak Database: The Federal Record Behind 25,000 Annual Illness Clusters](https://ai-analytics.org/writing/cdc-foodborne-outbreaks/) — 2026-05-24
- [OSHA 300A Injury Data: The Federal Database Behind Establishment-Level Workplace Injury Rates](https://ai-analytics.org/writing/osha-300a-injury-data/) — 2026-05-24
- [DOJ Civil Rights Division: The Federal Database Behind Police Reform Consent Decrees and Civil Rights Enforcement](https://ai-analytics.org/writing/doj-civil-rights/) — 2026-05-24
- [USDA ERS Food Economics: The Federal Database Behind Farm Income, Food Prices, and Rural America](https://ai-analytics.org/writing/usda-ers-food-economics/) — 2026-05-24
- [CMS Medicare Part D Prescriber Data: The Federal Database Behind Drug Spending for 1 Million Providers](https://ai-analytics.org/writing/cms-part-d-prescribers/) — 2026-05-24
- [DEA Registrant Enforcement: The Federal Database Behind Controlled Substance License Revocations](https://ai-analytics.org/writing/dea-registrant-enforcement/) — 2026-05-24
- [NRC Reactor Oversight Process: The Federal Database Behind Nuclear Plant Safety Ratings](https://ai-analytics.org/writing/nrc-reactor-oversight/) — 2026-05-24
- [CFTC Enforcement Actions: The Federal Database Behind Commodity Market Fraud Penalties](https://ai-analytics.org/writing/cftc-enforcement-actions/) — 2026-05-24
- [HMDA Mortgage Lending Data: The Federal Database Behind 15 Million Annual Mortgage Applications](https://ai-analytics.org/writing/hmda-mortgage-lending/) — 2026-05-24
- [CMS Hospital Cost Reports: The Federal Database Behind Hospital Financial Data for 6,000 US Facilities](https://ai-analytics.org/writing/cms-hospital-cost-reports/) — 2026-05-24
- [FEC Campaign Finance Enforcement: The Federal Database Behind Matters Under Review](https://ai-analytics.org/writing/fec-enforcement-murs/) — 2026-05-24
- [IRS Criminal Investigation: The Federal Database Behind Tax Fraud and Financial Crime Prosecutions](https://ai-analytics.org/writing/irs-criminal-investigation/) — 2026-05-24
- [CDC NNDSS: The Federal Database Behind Reportable Disease Surveillance in the United States](https://ai-analytics.org/writing/cdc-nndss-notifiable-diseases/) — 2026-05-24
- [OSHA Violations Database: The Federal Record of 200,000 Annual Workplace Safety Citations](https://ai-analytics.org/writing/osha-violations-data/) — 2026-05-24
- [GAO Reports Database: The Congressional Watchdog Behind 900 Annual Federal Audits](https://ai-analytics.org/writing/gao-reports-database/) — 2026-05-24
- [FCC Universal Licensing System: The Federal Database Behind Every US Radio License](https://ai-analytics.org/writing/fcc-universal-licensing/) — 2026-05-24
- [UFLPA Entity List: The Federal Database Behind Uyghur Forced Labor Supply Chain Enforcement](https://ai-analytics.org/writing/uflpa-entity-list/) — 2026-05-24
- [FinCEN BSA Enforcement: The Federal Database Behind Anti-Money Laundering Civil Penalties](https://ai-analytics.org/writing/fincen-bsa-enforcement/) — 2026-05-24
- [SAM.gov Exclusions: The Federal Database Behind Government Contractor Debarments](https://ai-analytics.org/writing/sam-gov-exclusions/) — 2026-05-24
- [FHWA National Bridge Inventory: The Federal Database Behind 620,000 US Bridge Inspections](https://ai-analytics.org/writing/fhwa-national-bridge-inventory/) — 2026-05-24
- [NIH Research Portfolio: The Federal Database Behind $50 Billion in Annual Biomedical Grants](https://ai-analytics.org/writing/nih-research-grants/) — 2026-05-24
- [USDA SNAP Program Data: The Federal Database Behind $100 Billion in Food Assistance](https://ai-analytics.org/writing/usda-snap-program/) — 2026-05-24
- [FEMA Disaster Declarations: The Federal Database Behind 70 Years of US Natural Disasters](https://ai-analytics.org/writing/fema-disaster-declarations/) — 2026-05-24
- [CMS Hospital Compare: The Federal Database Behind Quality Ratings for 5,000 US Hospitals](https://ai-analytics.org/writing/cms-hospital-compare/) — 2026-05-24
- [DOL OFLC Visa Disclosures: The Federal Database Behind H-1B, H-2A, and H-2B Wage Records](https://ai-analytics.org/writing/dol-oflc-h1b/) — 2026-05-24
- [PACER Federal Courts: The Database Behind 1 Billion Federal Court Documents](https://ai-analytics.org/writing/pacer-federal-courts/) — 2026-05-24
- [BIS Export Enforcement: The Federal Database Behind US Export Control Violations](https://ai-analytics.org/writing/bis-export-enforcement/) — 2026-05-24
- [Treasury Daily Treasury Statement: The Federal Database Behind the US Government's Daily Cash Position](https://ai-analytics.org/writing/treasury-dts/) — 2026-05-24
- [Census SAIPE: The Federal Database Behind County-Level Poverty and Income Estimates](https://ai-analytics.org/writing/census-saipe/) — 2026-05-24
- [EEOC Discrimination Charges: The Federal Database Behind 80,000 Annual Workplace Bias Claims](https://ai-analytics.org/writing/eeoc-charges/) — 2026-05-24
- [FDA FAERS: The Federal Adverse Event Reporting Database Behind Drug Safety Surveillance](https://ai-analytics.org/writing/fda-adverse-events/) — 2026-05-24
- [NHTSA FARS: The Federal Database Behind Every US Traffic Fatality Since 1975](https://ai-analytics.org/writing/dot-fars/) — 2026-05-24
- [CPSC Recalls: The Federal Database Behind 50 Years of Consumer Product Safety Recalls](https://ai-analytics.org/writing/cpsc-recalls/) — 2026-05-24
- [ClinicalTrials.gov: The Federal Database Behind 500,000 Clinical Trials and Drug Approval Research](https://ai-analytics.org/writing/clinical-trials/) — 2026-05-24
- [Census Current Population Survey: The Federal Database Behind the Official US Poverty and Unemployment Rates](https://ai-analytics.org/writing/census-cps/) — 2026-05-24
- [DEA ARCOS: The Federal Opioid Distribution Database Behind 380 Million Pill Shipment Transactions](https://ai-analytics.org/writing/arcos-opioid-distribution/) — 2026-05-24
- [DOL UI Claims: The Federal Database Behind Weekly US Unemployment Statistics Since 1967](https://ai-analytics.org/writing/dol-ui-claims/) — 2026-05-24
- [CMS Nursing Home Compare: The Federal Database Behind Quality Ratings for 14,700 US Nursing Homes](https://ai-analytics.org/writing/cms-nursing-homes/) — 2026-05-24
- [BLS QCEW: The Federal Database Behind US Payroll Data for Every Industry and County](https://ai-analytics.org/writing/bls-qcew/) — 2026-05-24
- [BLS Current Employment Statistics: The Federal Database Behind the Monthly Jobs Report](https://ai-analytics.org/writing/bls-ces/) — 2026-05-24
- [BOP Federal Prison Population: The Federal Database Behind 148,000 US Federal Inmates](https://ai-analytics.org/writing/bop-federal-prison-population/) — 2026-05-24
- [CDC Drug Overdose Mortality: The Federal Database Behind the US Opioid Crisis](https://ai-analytics.org/writing/cdc-drug-overdose-mortality/) — 2026-05-24
- [DOL Form 5500: The Federal Database Behind Every US Pension and Benefit Plan](https://ai-analytics.org/writing/dol-form-5500-pension-data/) — 2026-05-24
- [BLS OEWS: The Federal Database Behind Wage Statistics for 830 Occupations Across the US Economy](https://ai-analytics.org/writing/bls-oews-wage-statistics/) — 2026-05-24
- [FRA Railroad Accident Data: The Federal Database Behind Every US Rail Incident Since 1975](https://ai-analytics.org/writing/fra-railroad-accidents/) — 2026-05-24
- [OPM FedScope: The Federal Database Behind 2.1 Million US Government Workers](https://ai-analytics.org/writing/opm-federal-workforce/) — 2026-05-24
- [NIFC Wildfire Data: The Federal Database Behind a Century of US Fire Statistics](https://ai-analytics.org/writing/nifc-wildfire-data/) — 2026-05-24
- [CFPB Consumer Complaint Database: The Federal Record of 7 Million Financial Complaints](https://ai-analytics.org/writing/cfpb-consumer-complaints/) — 2026-05-24
- [NOAA Storm Events: The Federal Database Behind 50 Years of US Weather Disaster Data](https://ai-analytics.org/writing/noaa-storm-events-database/) — 2026-05-24
- [FBI NIBRS: The National Crime Database Behind Incident-Level Crime Statistics](https://ai-analytics.org/writing/fbi-nibrs-crime-data/) — 2026-05-24
- [SSA Social Security: The Federal Database Behind $1.4 Trillion in Annual OASDI Benefits](https://ai-analytics.org/writing/ssa-social-security-oasdi/) — 2026-05-24
- [IRS Exempt Organizations: The Recognition and Form 990 Record](https://ai-analytics.org/writing/irs-990-nonprofit-data/) — 2026-05-24
- [USAID Foreign Aid Data: The Federal Database Behind $40 Billion in Annual US Development Assistance](https://ai-analytics.org/writing/usaid-foreign-aid-data/) — 2026-05-24
- [PCAOB Auditor Inspections: The Federal Database Behind Public Company Audit Oversight and Accounting Firm Deficiencies](https://ai-analytics.org/writing/pcaob-auditor-inspections/) — 2026-05-24
- [Medicare Part D Drug Spending Data: The Federal Database Behind $225 Billion in Annual Prescription Drug Costs](https://ai-analytics.org/writing/medicare-part-d-drug-spending/) — 2026-05-24
- [NFIP Flood Insurance Data: The Federal Program Behind $20 Billion in Flood Claims and the National Flood Hazard Layer](https://ai-analytics.org/writing/nfip-flood-insurance/) — 2026-05-24
- [FARA: The Foreign Agents Registration Act Database Behind Lobbying Disclosure for Foreign Governments](https://ai-analytics.org/writing/fara-foreign-agents/) — 2026-05-24
- [CMS Open Payments: The Federal Database Behind $12 Billion in Annual Pharma and Device Payments to Physicians](https://ai-analytics.org/writing/cms-open-payments/) — 2026-05-24
- [NLRB Union Elections and Unfair Labor Practice Data: The Federal Database Behind US Labor Organizing](https://ai-analytics.org/writing/nlrb-union-elections/) — 2026-05-24
- [ATF Firearm Trace Data: The Federal Database Behind 350,000 Annual Crime Gun Traces](https://ai-analytics.org/writing/atf-firearm-trace-data/) — 2026-05-24
- [FDIC Institution Database: The Federal Profile of Every FDIC-Insured Bank and Thrift](https://ai-analytics.org/writing/fdic-institution-database/) — 2026-05-24
- [FMCSA Crash Data: The Federal Database Behind 5,000 Annual Large Truck Fatalities](https://ai-analytics.org/writing/fmcsa-crash-data/) — 2026-05-24
- [CRS Reports: The Congressional Research Service Database Behind US Policy Analysis](https://ai-analytics.org/writing/crs-congressional-reports/) — 2026-05-24
- [NIST NVD: The National Vulnerability Database Behind CVE Scoring and Cybersecurity Compliance](https://ai-analytics.org/writing/nist-nvd-vulnerabilities/) — 2026-05-24
- [EPA Greenhouse Gas Reporting Program: The Facility-Level Emissions Database Behind US Climate Accountability](https://ai-analytics.org/writing/epa-ghg-reporting/) — 2026-05-24
- [DOJ Antitrust Division: The Federal Merger Review and Cartel Enforcement Database](https://ai-analytics.org/writing/doj-antitrust-data/) — 2026-05-24
- [CDC WISQARS: The Federal Injury and Violence Mortality Database Behind Public Health Research](https://ai-analytics.org/writing/cdc-wisqars-injury-data/) — 2026-05-24
- [USASpending.gov: The Federal Spending Database Behind $6 Trillion in Annual Contracts, Grants, and Loans](https://ai-analytics.org/writing/usaspending-federal-contracts/) — 2026-05-24
- [Federal Register: The Official Rulemaking Journal Behind 90,000 Pages of Annual US Regulatory Activity](https://ai-analytics.org/writing/federal-register-rulemaking/) — 2026-05-24
- [FEC Committee Filings: The Campaign Finance Database Behind $14 Billion in Election Spending](https://ai-analytics.org/writing/fec-committee-filings/) — 2026-05-24
- [SEC Form D: The Private Placement Database Behind $2 Trillion in Annual Exempt Offerings](https://ai-analytics.org/writing/sec-form-d-private-placements/) — 2026-05-24
- [CMS Medicare Inpatient Provider Data: The Hospital-Level Payment Records Behind $170 Billion in Annual DRG Reimbursements](https://ai-analytics.org/writing/cms-medicare-inpatient-drg/) — 2026-05-24
- [FDA Orange Book: The Drug Patent and Exclusivity Database Behind Generic Drug Competition and Hatch-Waxman Challenges](https://ai-analytics.org/writing/fda-orange-book/) — 2026-05-24
- [CDC PLACES: The Small Area Health Estimates Behind County and Census Tract Disease Prevalence Data](https://ai-analytics.org/writing/cdc-places-health-estimates/) — 2026-05-24
- [BSEE Offshore Safety Data: The Post-Deepwater Horizon Incident Database Behind 4,000 Annual Offshore Inspections](https://ai-analytics.org/writing/bsee-offshore-safety/) — 2026-05-24
- [Treasury Daily Treasury Statement: The Federal Cash Flow Data Published Every Business Day](https://ai-analytics.org/writing/treasury-daily-statement/) — 2026-05-24
- [Federal Reserve H.15: The Selected Interest Rates Release Behind Treasury Yields, Fed Funds, and Every Rate Benchmark](https://ai-analytics.org/writing/fed-h15-interest-rates/) — 2026-05-24
- [Census Population Estimates Program: The Annual County and State Population Data Behind Apportionment, Funding, and Growth Tracking](https://ai-analytics.org/writing/census-population-estimates/) — 2026-05-24
- [USDA FSIS Food Safety Data: The Federal Recall Database and Inspection Records Behind Meat, Poultry, and Egg Safety](https://ai-analytics.org/writing/usda-fsis-food-safety/) — 2026-05-24
- [Census SAIPE: The Small Area Income and Poverty Estimates Behind Federal Education Funding and County-Level Poverty Maps](https://ai-analytics.org/writing/census-saipe-poverty/) — 2026-05-24
- [DOT National Transit Database: The Federal Ridership and Finance Data Behind Every US Bus and Rail System](https://ai-analytics.org/writing/dot-national-transit-database/) — 2026-05-24
- [USPTO Trademark Data: The Federal Brand Registry Behind 3 Million Active Marks and the TESS Search System](https://ai-analytics.org/writing/uspto-trademark-data/) — 2026-05-24
- [Federal Reserve Senior Loan Officer Survey: The Quarterly Credit Conditions Data the Fed Uses to Track Lending Tightening](https://ai-analytics.org/writing/fed-sloos-survey/) — 2026-05-24
- [FCC Spectrum Data: The Universal Licensing System Behind 25 Million Wireless Licenses and US Radio Frequency Allocation](https://ai-analytics.org/writing/fcc-spectrum-data/) — 2026-05-24
- [HUD Housing Choice Vouchers: The Section 8 Data Behind 2.3 Million Households and $30 Billion in Annual Rental Assistance](https://ai-analytics.org/writing/hud-housing-vouchers/) — 2026-05-24
- [Census American Housing Survey: The Biennial Housing Quality Database Behind US Structural Conditions and Neighborhood Characteristics](https://ai-analytics.org/writing/census-american-housing-survey/) — 2026-05-24
- [USDA Economic Research Service: The Agricultural Economics Data Behind Farm Income, Food Prices, and Rural America](https://ai-analytics.org/writing/usda-ers-data/) — 2026-05-24
- [BLS Employment Cost Index: The Quarterly Wage and Benefits Tracker the Federal Reserve Watches Most Closely](https://ai-analytics.org/writing/bls-employment-cost-index/) — 2026-05-24
- [DOL Unemployment Insurance Weekly Claims: The Thursday Morning Data Release That Moves Financial Markets](https://ai-analytics.org/writing/dol-ui-weekly-claims/) — 2026-05-24
- [Census Foreign Trade Statistics: The HS-Code Import and Export Database Behind Every US Trade Policy Decision](https://ai-analytics.org/writing/census-foreign-trade/) — 2026-05-24
- [Social Security OASDI: The Federal Data Behind $1.4 Trillion in Annual Benefits and 70 Million Recipients](https://ai-analytics.org/writing/ssa-oasdi-benefits/) — 2026-05-24
- [Census Current Population Survey: The Monthly Survey Behind Official US Poverty Rates and Income Inequality Measures](https://ai-analytics.org/writing/census-cps-poverty/) — 2026-05-24
- [BEA International Transactions: The Balance of Payments Data Behind Every US Trade Deficit Headline](https://ai-analytics.org/writing/bea-international-transactions/) — 2026-05-24
- [NOAA Climate Data: The National Centers for Environmental Information Behind 130 Years of Temperature Records and Climate Normals](https://ai-analytics.org/writing/noaa-climate-data/) — 2026-05-24
- [VA Disability Benefits: The Federal Data Behind 5.5 Million Compensation Recipients and $130 Billion in Annual Spending](https://ai-analytics.org/writing/va-disability-benefits/) — 2026-05-24
- [USGS Water Resources: The National Water Information System Behind Flood Prediction, Drought Monitoring, and Aquifer Depletion](https://ai-analytics.org/writing/usgs-water-resources/) — 2026-05-24
- [NSF Research Grants: Mapping $9 Billion in Annual Basic Science Funding](https://ai-analytics.org/writing/nsf-research-grants/) — 2026-05-24
- [BTS Airline On-Time Performance: The Federal Dataset Behind Every Flight Delay, Cancellation, and Tarmac Crisis](https://ai-analytics.org/writing/bts-airline-performance/) — 2026-05-24
- [Federal Reserve Z.1 Financial Accounts: The Flow of Funds Behind US Household Wealth and Sectoral Balances](https://ai-analytics.org/writing/fed-z1-financial-accounts/) — 2026-05-24
- [Census LEHD: The Longitudinal Employer-Household Dynamics Database Behind Workforce Flows, Commuting, and Wage Growth](https://ai-analytics.org/writing/census-lehd-workforce/) — 2026-05-24
- [BEA Regional Accounts: GDP by State, Personal Income by County, and the Sub-National Data Behind Every State Policy Debate](https://ai-analytics.org/writing/bea-regional-accounts/) — 2026-05-24
- [USDA NASS Crop Surveys: The Federal Agricultural Data Behind Every Corn, Soybean, and Wheat Market](https://ai-analytics.org/writing/usda-nass-crop-surveys/) — 2026-05-24
- [EIA Energy Data: The Federal Database Behind Oil Prices, Natural Gas Storage, and Electricity Generation](https://ai-analytics.org/writing/eia-energy-data/) — 2026-05-24
- [Census Building Permits and Housing Starts: The Federal Leading Indicator Behind the US Housing Market](https://ai-analytics.org/writing/census-building-permits/) — 2026-05-24
- [BLS Occupational Employment Data: Wages, Job Counts, and 10-Year Projections for Every US Occupation](https://ai-analytics.org/writing/bls-occupational-outlook/) — 2026-05-24
- [FHWA Highway Data: The Federal Dataset Behind Bridge Conditions, Pavement Quality, and Traffic Counts](https://ai-analytics.org/writing/dot-fhwa-highway/) — 2026-05-24
- [BLS Current Employment Statistics: The Monthly Jobs Report Behind Every Payroll Number](https://ai-analytics.org/writing/bls-current-employment/) — 2026-05-24
- [SEC EDGAR XBRL: The Machine-Readable Financial Statement Database Behind Every Public Company](https://ai-analytics.org/writing/sec-edgar-xbrl/) — 2026-05-24
- [CMS Skilled Nursing Facility Data: Star Ratings, Staffing, and the Quality Metrics Behind 15,000 Nursing Homes](https://ai-analytics.org/writing/cms-skilled-nursing-data/) — 2026-05-24
- [BLS Occupational Injuries: The SOII Dataset Behind 2.8 Million Annual Workplace Injuries](https://ai-analytics.org/writing/bls-occupational-injuries/) — 2026-05-24
- [EPA Air Quality System: The Federal Monitor Network Behind NAAQS Compliance and Pollution Mapping](https://ai-analytics.org/writing/epa-air-quality-system/) — 2026-05-24
- [HUD Point-in-Time Count: The Federal Homeless Census Behind 650,000 Americans Without Shelter](https://ai-analytics.org/writing/hud-homeless-count/) — 2026-05-24
- [FAA Aviation Safety Data: The Federal Databases Behind Every Plane Crash Investigation](https://ai-analytics.org/writing/faa-aviation-safety/) — 2026-05-24
- [NRC Nuclear Safety Data: The Federal Database Behind Every Reactor Inspection and Incident Report](https://ai-analytics.org/writing/nrc-nuclear-safety/) — 2026-05-24
- [Bureau of Prisons Data: The Federal Inmate Population Behind 150,000 Federal Prisoners](https://ai-analytics.org/writing/bop-prison-population/) — 2026-05-24
- [USCIS Immigration Data: The Federal Database Behind Visas, Green Cards, and Naturalizations](https://ai-analytics.org/writing/uscis-immigration-data/) — 2026-05-24
- [FBI UCR: The Federal Crime Statistics Behind Every Public Safety Analysis](https://ai-analytics.org/writing/fbi-ucr-crime-data/) — 2026-05-24
- [SBA 7(a) and 504 Loan Data: The Federal Small Business Lending Database Behind $40 Billion in Annual Guarantees](https://ai-analytics.org/writing/sba-7a-504-loans/) — 2026-05-24
- [BLS American Time Use Survey: The Federal Dataset Behind How Americans Actually Spend Their Time](https://ai-analytics.org/writing/bls-american-time-use/) — 2026-05-24
- [FDIC Call Report Data: The Quarterly Financial Filing Behind Every US Bank's Balance Sheet](https://ai-analytics.org/writing/fdic-call-report-data/) — 2026-05-24
- [BLS Multifactor Productivity: The Federal Dataset Behind Long-Run Economic Growth Accounting](https://ai-analytics.org/writing/bls-multifactor-productivity/) — 2026-05-24
- [Medicaid Enrollment Data: The Federal Dataset Behind 90 Million Beneficiaries and $900 Billion in Annual Spending](https://ai-analytics.org/writing/hhs-medicaid-enrollment/) — 2026-05-24
- [DOL Wage and Hour Division: The Federal Enforcement Database Behind $300 Million in Annual Back-Wage Recoveries](https://ai-analytics.org/writing/dol-wage-hour-enforcement/) — 2026-05-24
- [BLS PPI: The Producer Price Index and the Federal Inflation Dataset That Leads CPI](https://ai-analytics.org/writing/bls-ppi-producer-prices/) — 2026-05-24
- [Census PL 94-171: The Redistricting Data Behind Every Congressional Map](https://ai-analytics.org/writing/census-decennial-redistricting/) — 2026-05-24
- [Treasury TIC: The Federal Dataset Behind Foreign Ownership of US Securities](https://ai-analytics.org/writing/treasury-tic-capital-flows/) — 2026-05-24
- [CDC WONDER: The Federal Mortality Database Behind Every Death Statistics Analysis](https://ai-analytics.org/writing/cdc-wonder-mortality/) — 2026-05-24
- [BLS JOLTS: The Federal Job Openings and Labor Turnover Survey Behind Every Tight-Labor-Market Claim](https://ai-analytics.org/writing/bls-jolts-job-openings/) — 2026-05-24
- [NHTSA FARS: The Federal Traffic Fatality Census Behind Every Road Safety Analysis](https://ai-analytics.org/writing/nhtsa-fars-fatality-data/) — 2026-05-24
- [CMS Medicare Advantage: Plan Bids, Star Ratings, and the Federal Dataset Behind Private Medicare](https://ai-analytics.org/writing/cms-medicare-advantage/) — 2026-05-24
- [IRS Statistics of Income: The Federal Dataset Behind the US Tax and Income Distribution](https://ai-analytics.org/writing/irs-statistics-of-income/) — 2026-05-24
- [OSHA Inspections: The Federal Database Behind Every Workplace Safety Violation and Citation](https://ai-analytics.org/writing/dol-osha-inspections/) — 2026-05-24
- [HMDA: The Home Mortgage Disclosure Act Dataset Behind Every Redlining Investigation](https://ai-analytics.org/writing/hmda-mortgage-disclosure/) — 2026-05-24
- [Census ACS: The American Community Survey and the Federal Demographic Dataset Behind Every Policy Decision](https://ai-analytics.org/writing/census-acs-data/) — 2026-05-24
- [BLS CPI: The Consumer Price Index and the Federal Inflation Measurement Behind Every Policy Decision](https://ai-analytics.org/writing/bls-cpi-inflation/) — 2026-05-24
- [CDC BRFSS: The World's Largest Telephone Survey and the Federal Health Behavior Database](https://ai-analytics.org/writing/cdc-brfss-behavioral-risk/) — 2026-05-24
- [FHFA House Price Index: The Federal Repeat-Sales Benchmark for US Home Prices](https://ai-analytics.org/writing/fhfa-house-price-index/) — 2026-05-24
- [Federal Reserve H.8: The Weekly Snapshot of Every US Commercial Bank's Balance Sheet](https://ai-analytics.org/writing/fed-h8-bank-balance-sheets/) — 2026-05-24
- [Census County Business Patterns: Annual Establishment Counts, Employment, and Payroll for Every US County](https://ai-analytics.org/writing/census-county-business-patterns/) — 2026-05-24
- [NAEP: The Nation's Report Card and the Federal Dataset Behind US Education Achievement](https://ai-analytics.org/writing/naep-education-assessment/) — 2026-05-24
- [BLS OEWS: The Occupational Employment and Wage Statistics Behind Every Salary Benchmark](https://ai-analytics.org/writing/bls-oews-occupational-wages/) — 2026-05-24
- [USPTO Patent Data: The Federal Database Behind Every US Patent Grant and Application](https://ai-analytics.org/writing/uspto-patent-data/) — 2026-05-24
- [BEA GDP and National Accounts: The Federal Dataset That Measures the US Economy](https://ai-analytics.org/writing/bea-gdp-accounts/) — 2026-05-24
- [FDA Drug Approvals: The NDA, BLA, and ANDA Database Behind Every Drug on the Market](https://ai-analytics.org/writing/fda-drug-approvals/) — 2026-05-24
- [Medicare Part B Data: Every Procedure Billed to Medicare and What It Paid](https://ai-analytics.org/writing/medicare-part-b-data/) — 2026-05-24
- [BLS QCEW: The County-Level Employment and Wages Dataset Behind Every Local Economic Analysis](https://ai-analytics.org/writing/bls-qcew-employment/) — 2026-05-24
- [FBI NICS Background Checks: The Federal Dataset Behind 400 Million Firearm Transfer Attempts](https://ai-analytics.org/writing/fbi-nics-background-checks/) — 2026-05-24
- [HUD LIHTC Database: Mapping 35 Years of Low-Income Housing Tax Credit Projects](https://ai-analytics.org/writing/hud-lihtc-database/) — 2026-05-24
- [CFTC Commitments of Traders: The Weekly Federal Report Behind Futures Market Positioning](https://ai-analytics.org/writing/cftc-commitments-of-traders/) — 2026-05-24
- [OFAC Sanctions Lists: The Treasury Database Every Financial Institution Must Screen Against](https://ai-analytics.org/writing/treasury-ofac-sanctions/) — 2026-05-24
- [EPA Toxic Release Inventory: 35 Years of Industrial Chemical Releases and Environmental Justice Patterns](https://ai-analytics.org/writing/epa-toxic-release-inventory/) — 2026-05-24
- [CMS Hospital Quality Data: Outcomes, Readmissions, and Star Ratings for 6,000 US Hospitals](https://ai-analytics.org/writing/cms-hospital-quality/) — 2026-05-24
- [SEC EDGAR XBRL Financials: Machine-Readable Fundamentals for Every Public Company](https://ai-analytics.org/writing/sec-edgar-financials/) — 2026-05-24
- [Corporate Prosecution Registry: DPAs, NPAs, and the Too-Big-to-Jail Database](https://ai-analytics.org/writing/corporate-prosecution-registry/) — 2026-05-24
- [PCAOB: The Federal Audit Watchdog Created After Enron and the KPMG Inspection-Data Scandal](https://ai-analytics.org/writing/pcaob-audit-oversight/) — 2026-05-24
- [Medicare Part D Prescribing Data: Every Drug Prescribed by Every Medicare Provider](https://ai-analytics.org/writing/medicare-part-d-data/) — 2026-05-24
- [ATF Crime Gun Trace Data: The Federal Dataset the Tiahrt Amendment Tried to Hide](https://ai-analytics.org/writing/atf-crime-gun-data/) — 2026-05-24
- [CPSC Product Recalls: The Federal Safety Database Behind 400 Consumer Product Recalls Per Year](https://ai-analytics.org/writing/cpsc-product-recalls/) — 2026-05-24
- [FDA Medical Device Recalls: The Database Behind Every Implant Failure and CPAP Warning](https://ai-analytics.org/writing/fda-device-recalls/) — 2026-05-24
- [NCUA Credit Union Data: The 5300 Call Report and Enforcement Database for 4,700 Federally Insured Credit Unions](https://ai-analytics.org/writing/ncua-credit-union-data/) — 2026-05-24
- [CFPB Enforcement Actions: The Public Record of $20 Billion in Consumer Finance Penalties](https://ai-analytics.org/writing/cfpb-enforcement-actions/) — 2026-05-24
- [BTS Border Crossing Entry Data: Monthly Counts of Every Vehicle, Truck, and Pedestrian at US Land Ports](https://ai-analytics.org/writing/bts-border-crossings/) — 2026-05-24
- [ClinicalTrials.gov Data: The Federal Registry Behind Every Drug and Device Trial](https://ai-analytics.org/writing/clinicaltrials-gov-data/) — 2026-05-24
- [FDA 510(k) Device Clearances: The Substantial Equivalence Pathway That Cleared 100,000+ Medical Devices](https://ai-analytics.org/writing/fda-510k-device-clearances/) — 2026-05-24
- [DOL H-2 Visa Disclosures: Mapping the Guest Worker Programs Feeding US Agriculture and Hospitality](https://ai-analytics.org/writing/dol-h2-visa-disclosures/) — 2026-05-24
- [OCC Bank Enforcement Actions: Reading the Federal Regulator's Public Disciplinary Record](https://ai-analytics.org/writing/occ-bank-enforcement/) — 2026-05-24
- [FERC Enforcement: The Federal Watchdog Over Energy Market Manipulation](https://ai-analytics.org/writing/ferc-energy-enforcement/) — 2026-05-24
- [SEC Enforcement Actions: The Public Record of Every Securities Law Violation](https://ai-analytics.org/writing/sec-enforcement-actions/) — 2026-05-24
- [HHS OIG Exclusions: The Federal Healthcare Fraud Blacklist That Every Provider Must Screen Against](https://ai-analytics.org/writing/hhs-oig-exclusions/) — 2026-05-24
- [SEC Form 8-K: The Real-Time Disclosure Feed for Every Material Corporate Event](https://ai-analytics.org/writing/sec-8k-material-events/) — 2026-05-24
- [NHTSA Vehicle Recall Data: 70 Years of Safety Defects Across 900 Million Vehicles](https://ai-analytics.org/writing/nhtsa-vehicle-recalls/) — 2026-05-24
- [DOL Form 5500: The Annual Filing That Exposes Every Private Pension and 401(k) Plan](https://ai-analytics.org/writing/dol-form-5500-pensions/) — 2026-05-24
- [Senate LDA Lobbying Disclosures: Mapping $4 Billion in Annual Influence Spending](https://ai-analytics.org/writing/lobbying-disclosure-data/) — 2026-05-24
- [EIA Electricity Data: The Federal Dataset Behind Every Kilowatt-Hour Generated, Sold, and Priced](https://ai-analytics.org/writing/eia-electricity-data/) — 2026-05-24
- [FINRA BrokerCheck: The Public Database of Every Registered Broker and Investment Adviser](https://ai-analytics.org/writing/finra-brokercheck-data/) — 2026-05-24
- [SEC Form 4: The Insider Trading Disclosure Behind Every Officer and Director Stock Transaction](https://ai-analytics.org/writing/sec-form-4-insider-trading/) — 2026-05-24
- [FDA FAERS: The Adverse Drug Event Database Behind Post-Market Drug Safety](https://ai-analytics.org/writing/fda-faers-adverse-events/) — 2026-05-24
- [College Scorecard: The Federal Dataset That Exposes Graduation Rates, Debt, and Earnings for Every US College](https://ai-analytics.org/writing/college-scorecard-data/) — 2026-05-24
- [CISA KEV Catalog: The Federal Government's Definitive List of Actively Exploited Vulnerabilities](https://ai-analytics.org/writing/cisa-known-exploited-vulnerabilities/) — 2026-05-24
- [USCIS H-1B Visa Data: Mapping the 600,000-Worker Skilled Immigration Pipeline](https://ai-analytics.org/writing/uscis-h1b-data/) — 2026-05-24
- [DOJ False Claims Act Settlements: The $70 Billion Fraud Recovery Database](https://ai-analytics.org/writing/doj-false-claims-act/) — 2026-05-24
- [CDC Drug Overdose Mortality Data: The Federal Dataset Behind the Opioid Crisis](https://ai-analytics.org/writing/cdc-drug-overdose-data/) — 2026-07-10
- [FDIC Bank Failure Data: Every US Bank That Has Failed Since 1934](https://ai-analytics.org/writing/fdic-bank-failures/) — 2026-07-09
- [FDA Warning Letters: The Public Enforcement Record for 100,000+ Regulatory Actions](https://ai-analytics.org/writing/fda-warning-letters/) — 2026-07-08
- [MSHA Mine Safety Data: Violations, Accidents, and Fatalities Across 10,000 Active Mines](https://ai-analytics.org/writing/msha-mine-safety/) — 2026-07-07
- [USCG Marine Casualty Data: Every US Vessel Accident Since 1982](https://ai-analytics.org/writing/uscg-marine-casualties/) — 2026-07-06
- [FMCSA Carrier Safety Ratings: The Federal Database Behind 550,000 Trucking Companies](https://ai-analytics.org/writing/fmcsa-safety-ratings/) — 2026-07-05
- [CBP US Trade Statistics: The Federal Dataset Behind Every Import and Export](https://ai-analytics.org/writing/cbp-trade-statistics/) — 2026-07-04
- [ICE Enforcement and Removal Operations: Reading the Federal Dataset Behind Immigration Enforcement](https://ai-analytics.org/writing/ice-enforcement-removals/) — 2026-07-03
- [BLS CPI-U: The Inflation Dataset That Moves Markets and Sets Policy](https://ai-analytics.org/writing/bls-cpi-u/) — 2026-07-02
- [SSA Disability Award Statistics: The Federal Dataset Behind 8 Million Benefit Decisions](https://ai-analytics.org/writing/ssa-disability-awards/) — 2026-07-01
- [NLRB Unfair Labor Practice Data: 300,000 Cases of Worker-Management Conflict](https://ai-analytics.org/writing/nlrb-ulp-filings/) — 2026-06-30
- [BLS JOLTS: The Federal Dataset That Measures Why Workers Quit](https://ai-analytics.org/writing/bls-jolts/) — 2026-06-29
- [FTC Consumer Sentinel Network: 16 Million Fraud Reports Hiding in Plain Sight](https://ai-analytics.org/writing/ftc-consumer-complaints/) — 2026-06-28
- [Derailments and grade crossings: using FRA railroad accident data to analyze rail safety trends](https://ai-analytics.org/writing/fra-railroad-accident-data/) — 2026-06-27
- [The graveyard of pensions: using PBGC data to track terminated defined-benefit plans](https://ai-analytics.org/writing/pbgc-pension-terminations/) — 2026-06-26
- [Seismic record: using the USGS earthquake catalog to analyze fault risk and induced seismicity](https://ai-analytics.org/writing/usgs-earthquake-database/) — 2026-06-25
- [Following EPA enforcement: using ECHO data to track environmental violations and penalties](https://ai-analytics.org/writing/epa-enforcement-data/) — 2026-06-24
- [Dark money disclosed: using IRS Form 990 data to map political organization spending](https://ai-analytics.org/writing/irs-990-political-organizations/) — 2026-06-22
- [Food stamps by the numbers: using USDA SNAP participation data to track hunger and benefit policy](https://ai-analytics.org/writing/usda-snap-program-data/) — 2026-06-19
- [The demographic backbone: using Census ACS data to contextualize every other federal dataset](https://ai-analytics.org/writing/census-acs-demographic-data/) — 2026-06-18
- [Mapping housing discrimination: using HUD FHEO complaint data to find fair housing violations](https://ai-analytics.org/writing/hud-fair-housing-complaints/) — 2026-06-17
- [Inside the count: using BJS National Prisoner Statistics to analyze incarceration trends](https://ai-analytics.org/writing/bjs-national-prisoner-statistics/) — 2026-06-16
- [Workplace safety violations: using OSHA inspection and citation data to find dangerous employers](https://ai-analytics.org/writing/osha-inspection-enforcement/) — 2026-06-15
- [Wage theft by employer: using DOL Wage and Hour Division enforcement data to find labor violations](https://ai-analytics.org/writing/dol-wage-hour-violations/) — 2026-06-14
- [Every US traffic death since 1975: using NHTSA FARS to analyze road safety, vehicle defects, and enforcement gaps](https://ai-analytics.org/writing/nhtsa-fars-traffic-fatalities/) — 2026-06-13
- [Follow the money: mapping dark money and super PAC flows with FEC bulk data](https://ai-analytics.org/writing/fec-campaign-finance-data/) — 2026-06-11
- [The Wall of Shame: what the HHS-OCR HIPAA breach database reveals about healthcare data security](https://ai-analytics.org/writing/hhs-ocr-hipaa-breach-data/) — 2026-06-10
- [By the numbers: using EEOC charge statistics to find discrimination patterns by industry and employer](https://ai-analytics.org/writing/eeoc-discrimination-charge-data/) — 2026-06-09
- [The $800 billion bailout: using SBA PPP data to trace who got pandemic relief](https://ai-analytics.org/writing/sba-ppp-loan-data/) — 2026-06-08
- [Trading on the inside: using STOCK Act filings to track congressional stock transactions](https://ai-analytics.org/writing/stock-act-congressional-trading/) — 2026-06-07
- [The asylum lottery: what EOIR data reveals about judge-by-judge grant rate disparities](https://ai-analytics.org/writing/eoir-asylum-grant-rates/) — 2026-06-06
- [The mortgage map: using HMDA loan-level data to find lending disparities](https://ai-analytics.org/writing/hmda-mortgage-lending-disparities/) — 2026-06-05
- [The recall record: what the CPSC product safety database shows and what manufacturers hide](https://ai-analytics.org/writing/cpsc-consumer-product-recalls/) — 2026-06-04
- [SEC Form 13F: The Institutional Holdings Disclosure Behind Every Hedge Fund Tracker](https://ai-analytics.org/writing/sec-13f-institutional-holdings/) — 2026-06-03
- [380 million transactions: indexing the DEA's ARCOS opioid distribution data](https://ai-analytics.org/writing/dea-arcos-opioid-distribution/) — 2026-06-02
- [The DPA database: every federal deferred prosecution agreement since 1992](https://ai-analytics.org/writing/corporate-prosecution-dpa-registry/) — 2026-06-01
- [The gun dealer map: what ATF's Federal Firearms Licensee data shows and what it hides](https://ai-analytics.org/writing/atf-federal-firearms-licensees/) — 2026-05-31
- [Before it disappeared: archiving $1.5 trillion in USAID foreign assistance data](https://ai-analytics.org/writing/usaid-foreign-assistance-data/) — 2026-05-30
- [One in four audits flagged: indexing PCAOB deficiency data across the Big 4](https://ai-analytics.org/writing/pcaob-audit-deficiency-data/) — 2026-05-29
- [Who won, who lost: five years of union elections in NLRB data](https://ai-analytics.org/writing/nlrb-union-election-data/) — 2026-05-28
- [The pharma payment map: joining CMS Open Payments and Medicare Part D prescribing data](https://ai-analytics.org/writing/cms-open-payments-part-d/) — 2026-05-26
- [Foreign agents in plain sight: mapping DC's hidden influence network with FARA data](https://ai-analytics.org/writing/fara-foreign-agent-registrations/) — 2026-05-24
- [Repetitive loss: what FEMA's flood insurance claims data reveals about 2.7 million paid claims](https://ai-analytics.org/writing/fema-nfip-flood-claims/) — 2026-05-23
- [Compliance screening across 30+ federal enforcement lists: how the risk score works](https://ai-analytics.org/writing/compliance-screening-risk-score/) — 2026-05-22
- [Entity resolution for multi-list compliance screening: reducing false positives without sacrificing recall](https://ai-analytics.org/writing/compliance-entity-resolution/) — 2026-05-16
- [Name matching in federal regulatory data: aliases, subsidiaries, and sanctions evasion across 208 datasets](https://ai-analytics.org/writing/federal-entity-matching/) — 2026-05-10
- [Canonical entity IDs in the Federal Regulatory Data Hub: stable identifiers across 208 federal datasets](https://ai-analytics.org/writing/regulatory-entity-canonical-ids/) — 2026-05-05
- [Building the cross-agency regulatory entity graph: 50M+ records, one join](https://ai-analytics.org/writing/cross-agency-regulatory-entity-graph/) — 2026-05-01
- [Entity subscriptions in the Federal Regulatory Data Hub: per-entity change monitoring across 30+ enforcement lists](https://ai-analytics.org/writing/federal-regulatory-entity-subscriptions/) — 2026-04-26
- [Federal Regulatory Data Hub change alerts: near-real-time OFAC sanctions, SAM debarments, and enforcement action webhooks](https://ai-analytics.org/writing/regulatory-change-alerts/) — 2026-04-21
- [Swarm SDK v0.4: situational awareness, electronic warfare coordination, and adversarial resilience](https://ai-analytics.org/writing/swarm-sdk-v04/) — 2026-04-14
- [Swarm situational awareness: signed position broadcasts, sensor fusion, and dead-reckoning in embedded Rust](https://ai-analytics.org/writing/swarm-situational-awareness/) — 2026-04-10
- [Swarm SDK on bare metal: porting the cryptographic core to no_std Rust on STM32H7](https://ai-analytics.org/writing/swarm-embedded-rust/) — 2026-04-06
- [Swarm SDK key rotation: automated cryptographic material refresh in field-deployed drone meshes](https://ai-analytics.org/writing/swarm-key-rotation/) — 2026-04-01
- [Swarm SDK key management: device provisioning, certificate rotation, and revocation for autonomous drone systems](https://ai-analytics.org/writing/swarm-key-management/) — 2026-03-28
- [Swarm SDK device enrollment: how a new drone joins an authenticated fleet mesh](https://ai-analytics.org/writing/swarm-device-enrollment/) — 2026-03-21
- [Post-quantum mesh cryptography for drone swarms: the Swarm SDK design](https://ai-analytics.org/writing/post-quantum-drone-mesh/) — 2026-03-15
- [Swarm SDK operational security: traffic analysis resistance, message size normalization, and timing jitter](https://ai-analytics.org/writing/swarm-sdk-opsec/) — 2026-03-10
- [Swarm SDK MAVLink v2 integration: encrypting mesh messages inside 253-byte drone protocol frames](https://ai-analytics.org/writing/swarm-mavlink-integration/) — 2026-03-05
- [Swarm SDK message framing: binary wire format, fragmentation, and MAVLink packing](https://ai-analytics.org/writing/swarm-message-framing/) — 2026-02-27
- [The Swarm SDK double ratchet: forward secrecy and post-compromise security in drone mesh networks](https://ai-analytics.org/writing/swarm-double-ratchet/) — 2026-02-22
- [Swarm SDK Sealed Sender: hiding the sender identity without breaking end-to-end encryption](https://ai-analytics.org/writing/swarm-sealed-sender/) — 2026-02-16
- [Swarm SDK v0.3: Sender Keys, Sealed Sender, and Deniable Authentication for Drone Mesh Networks](https://ai-analytics.org/writing/swarm-sdk-v03/) — 2026-02-10
- [Building a regulatory data MCP server: 38 tools for screening, entity lookup, and sanctions intelligence](https://ai-analytics.org/writing/regulatory-api-mcp-server/) — 2026-02-05
- [The Federal Regulatory API: REST, MCP, and JSON-LD for 208 Federal Datasets](https://ai-analytics.org/writing/federal-regulatory-api/) — 2026-02-01
- [Swarm SDK session establishment: X3DH prekey bundles and the initial drone-to-drone handshake](https://ai-analytics.org/writing/swarm-x3dh-session/) — 2026-01-25
- [Swarm SDK prekey bundle management: generating, distributing, and consuming OneTimePreKeys across a drone fleet](https://ai-analytics.org/writing/swarm-prekey-management/) — 2026-01-20
- [Federal dataset ingest: keeping 208 federal datasets fresh at the edge](https://ai-analytics.org/writing/federal-dataset-ingest/) — 2026-01-15
- [Swarm SDK mesh transport: reliable delivery over contested RF links](https://ai-analytics.org/writing/swarm-mesh-transport/) — 2026-01-08
- [Swarm SDK gossip mesh: bounded fanout routing, message deduplication, and network partition handling](https://ai-analytics.org/writing/swarm-gossip-mesh/) — 2026-01-02
- [Swarm SDK architecture: gossip mesh, post-quantum cryptography, and embedded-first design](https://ai-analytics.org/writing/swarm-sdk-architecture/) — 2025-12-27
- [Incident clustering and deduplication: how Voidly avoids counting the same censorship event twice](https://ai-analytics.org/writing/voidly-incident-clustering/) — 2025-12-22
- [Voidly incident timeline reconstruction: building the canonical event sequence from distributed probe measurements](https://ai-analytics.org/writing/voidly-incident-timeline/) — 2025-12-17
- [Voidly incident resolution: how we know when a censorship event ends](https://ai-analytics.org/writing/voidly-incident-resolution/) — 2025-12-13
- [Voidly real-time anomaly scorer: ML inference in the streaming pipeline at 50,000 events per second](https://ai-analytics.org/writing/voidly-realtime-anomaly-scorer/) — 2025-12-09
- [Voidly's real-time event pipeline: from measurement anomaly to journalist alert in under 8 minutes](https://ai-analytics.org/writing/voidly-realtime-pipeline/) — 2025-12-05
- [Voidly probe run lifecycle: from scheduled task to classifier input](https://ai-analytics.org/writing/voidly-probe-run-lifecycle/) — 2025-11-29
- [Voidly probe networking: staying connected through NAT, firewalls, and censored infrastructure](https://ai-analytics.org/writing/voidly-probe-networking/) — 2025-11-24
- [Voidly probe local measurement buffer: SQLite ring buffer, batch compression, and resilient upload](https://ai-analytics.org/writing/voidly-probe-local-buffer/) — 2025-11-19
- [The Voidly Probe: Tauri + boringtun Network Measurement at the Operator's Edge](https://ai-analytics.org/writing/voidly-probe-architecture/) — 2025-11-15
- [The Voidly probe test runner: concurrency, timeout handling, and the measurement state machine](https://ai-analytics.org/writing/voidly-probe-test-runner/) — 2025-11-08
- [How Voidly measures HTTP and HTTPS censorship: the full protocol lifecycle from DNS through TLS to body comparison](https://ai-analytics.org/writing/voidly-http-measurement/) — 2025-11-01
- [Voidly's TCP measurement layer: RST injection detection, null-routing, and connection timing analysis](https://ai-analytics.org/writing/voidly-tcp-measurement/) — 2025-10-27
- [The Voidly control server: how we tell censorship from a bad network](https://ai-analytics.org/writing/voidly-control-server/) — 2025-10-22
- [How Voidly measures bandwidth throttling: timing signals, body truncation, and the calibration problem](https://ai-analytics.org/writing/voidly-throttling-measurement/) — 2025-10-15
- [Voidly probe health monitoring: how we detect and replace failing probe nodes](https://ai-analytics.org/writing/voidly-probe-health/) — 2025-10-08
- [How Voidly detects DNS injection: forged responses, injection rates by country, and pipeline integration](https://ai-analytics.org/writing/voidly-dns-injection-detection/) — 2025-10-03
- [Geoblocking vs. censorship: how Voidly distinguishes licensing restrictions, CDN geofencing, and GDPR blocks from government-ordered blocking](https://ai-analytics.org/writing/voidly-geoblocking/) — 2025-09-29
- [Classifying internet interference: Voidly's seven-type taxonomy from TCP RST to application-layer blocking](https://ai-analytics.org/writing/voidly-interference-taxonomy/) — 2025-09-24
- [Cross-source censorship verification: reconciling OONI, CensoredPlanet, and IODA](https://ai-analytics.org/writing/censorship-cross-source-verification/) — 2025-09-20
- [Voidly middlebox detection: fingerprinting DPI hardware from RST packets, header injection, and vendor signatures](https://ai-analytics.org/writing/voidly-middlebox-detection/) — 2025-09-16
- [How Voidly measures TLS censorship: certificate forgery, SNI blocking, and handshake interference](https://ai-analytics.org/writing/voidly-tls-measurement/) — 2025-09-12
- [Voidly's block page fingerprint library: detecting censorship signatures across 2,300+ known pages](https://ai-analytics.org/writing/voidly-blockpage-fingerprints/) — 2025-09-05
- [Voidly measurement protocol stack: how a single probe run executes DNS, TCP, TLS, HTTP, and control layers](https://ai-analytics.org/writing/voidly-measurement-protocol-stack/) — 2025-09-01
- [How Voidly measures DNS censorship: NXDOMAIN injection, IP spoofing, and resolver-level filtering](https://ai-analytics.org/writing/voidly-dns-measurement/) — 2025-08-28
- [Voidly measurement API and Parquet export: keyset pagination, SSE streaming, and nightly HuggingFace snapshots](https://ai-analytics.org/writing/voidly-measurement-api-export/) — 2025-08-24
- [The Voidly measurement dataset: field-by-field schema reference](https://ai-analytics.org/writing/voidly-dataset-schema/) — 2025-08-20
- [Voidly's TimescaleDB continuous aggregates: pre-aggregating 2.2B probe measurements for fast queries](https://ai-analytics.org/writing/voidly-continuous-aggregates/) — 2025-08-14
- [Voidly's probe-to-dataset ingest pipeline: normalization, quality filtering, and TimescaleDB indexing](https://ai-analytics.org/writing/voidly-probe-ingest/) — 2025-08-08
- [Voidly BGP data ingestion: parsing MRT dumps, detecting prefix withdrawals, and computing country outage scores](https://ai-analytics.org/writing/voidly-bgp-data-ingestion/) — 2025-08-02
- [BGP routing signals and internet shutdown detection: how Voidly uses IODA data](https://ai-analytics.org/writing/bgp-shutdown-detection/) — 2025-07-28
- [Voidly AS path analysis: using BGP topology to locate censorship enforcement points](https://ai-analytics.org/writing/voidly-as-path-analysis/) — 2025-07-22
- [Voidly's ASN-level blocking analysis: how censorship propagates across autonomous systems](https://ai-analytics.org/writing/voidly-asn-blocking-analysis/) — 2025-07-17
- [Domain censorship history in Voidly: continuous aggregates, first-seen tracking, and the /v1/domains/{domain}/history API](https://ai-analytics.org/writing/voidly-domain-censorship-history/) — 2025-07-12
- [Voidly's country-level censorship score: aggregating 2.2B probe measurements into the global index](https://ai-analytics.org/writing/voidly-country-censorship-index/) — 2025-07-08
- [Sanctions timelines and internet shutdowns: how Voidly correlates OFAC designation bursts with censorship events](https://ai-analytics.org/writing/voidly-sanctions-shutdown-correlation/) — 2025-07-03
- [OFAC SDN integration in the Federal Regulatory Data Hub: conditional GET, entity normalization, and sub-second screening](https://ai-analytics.org/writing/ofac-sdn-integration/) — 2025-06-28
- [The features behind Voidly's 7-day shutdown forecast: political calendar, sanctions timelines, and network telemetry](https://ai-analytics.org/writing/voidly-shutdown-features/) — 2025-06-21
- [Seven-day internet shutdown forecasting: how Voidly predicts connectivity outages](https://ai-analytics.org/writing/shutdown-forecasting/) — 2025-06-15
- [From anomaly scores to shutdown forecasts: how Voidly aggregates per-measurement classifier output into country-level risk](https://ai-analytics.org/writing/voidly-classifier-to-forecast/) — 2025-06-11
- [Voidly's per-country classifier calibration: Platt scaling, threshold tuning, and why the same probability means different things in Iran vs. China](https://ai-analytics.org/writing/voidly-classifier-calibration/) — 2025-06-07
- [Voidly's anomaly classifier retraining pipeline: temporal splits, champion/challenger promotion, and drift detection](https://ai-analytics.org/writing/voidly-classifier-retraining/) — 2025-06-02
- [Voidly's real-time inference API: classifying censorship measurements at 50ms](https://ai-analytics.org/writing/voidly-inference-api/) — 2025-05-28
- [Voidly ONNX inference in Rust: exporting the censorship classifier, thread-local sessions, and batch scoring at 68K items/sec](https://ai-analytics.org/writing/voidly-onnx-inference/) — 2025-05-24
- [The 47 features that classify internet censorship: how Voidly extracts signal from raw network measurements](https://ai-analytics.org/writing/voidly-feature-extraction/) — 2025-05-20
- [Voidly probe scheduling constraints: battery, thermal, cellular budget, and domain priority scoring on operator devices](https://ai-analytics.org/writing/voidly-probe-scheduling-constraints/) — 2025-05-16
- [Voidly's URL test list: how we curate the domains that reveal internet censorship](https://ai-analytics.org/writing/voidly-test-list/) — 2025-05-12
- [Probe operator safety in Voidly: threat model, data minimization, and the Tor upload path](https://ai-analytics.org/writing/voidly-probe-operator-safety/) — 2025-05-07
- [Voidly probe commissioning: how a new operator joins the censorship measurement network](https://ai-analytics.org/writing/voidly-probe-commissioning/) — 2025-05-03
- [Rate limiting the Federal Regulatory Data Hub: two-layer token bucket with Cloudflare KV and ETag conditional writes](https://ai-analytics.org/writing/regulatory-rate-limiting/) — 2025-04-29
- [The Federal Regulatory Data Hub query layer: routing 50M+ records at the Cloudflare edge](https://ai-analytics.org/writing/regulatory-query-layer/) — 2025-04-25
- [Bitemporal regulatory records in the Federal Regulatory Data Hub: AS-OF queries, audit history, and NDJSON snapshot export](https://ai-analytics.org/writing/regulatory-data-versioning/) — 2025-04-21
- [Monitoring dataset freshness in the Federal Regulatory Data Hub: staleness detection, multi-channel alerting, and the OFAC publish-time problem](https://ai-analytics.org/writing/regulatory-staleness-monitoring/) — 2025-04-17
- [Voidly probe vantage selection: ASN diversity, operator safety, and reaching hard-to-measure countries](https://ai-analytics.org/writing/voidly-vantage-selection/) — 2025-04-10
- [Voidly probe configuration delivery: signed CBOR bundles, anonymous country tokens, and atomic snapshot rollover](https://ai-analytics.org/writing/voidly-probe-config-delivery/) — 2025-04-06
- [Voidly operator privacy: how we publish measurements without exposing the people who collect them](https://ai-analytics.org/writing/voidly-operator-privacy/) — 2025-04-02
- [The Federal Regulatory Data Hub alias table: AKA, phonetic, vessel, and expired name resolution across 208 datasets](https://ai-analytics.org/writing/regulatory-entity-alias-table/) — 2025-03-29
- [Entity ID normalization in the Federal Regulatory Data Hub: resolving CIK, UEI, LEI, DUNS, and NPI across 208 datasets](https://ai-analytics.org/writing/federal-entity-id-normalization/) — 2025-03-25
- [Schema design for the Federal Regulatory Data Hub: eight D1 shards, entity_master, and covering indexes across 50M+ records](https://ai-analytics.org/writing/regulatory-schema-design/) — 2025-03-21
- [Full-text search across 50M+ federal records: SQLite FTS5, BM25 ranking, and cross-shard fan-out in Cloudflare D1](https://ai-analytics.org/writing/federal-fts5-search/) — 2025-03-17
- [Building the Federal Regulatory Data Hub on Cloudflare D1: 50M+ records at the edge](https://ai-analytics.org/writing/regulatory-data-hub-cloudflare-d1/) — 2025-03-10
- [Voidly's measurement retention policy: hot, warm, and cold tiers for 2.2B probe results](https://ai-analytics.org/writing/voidly-measurement-retention/) — 2025-03-05
- [Voidly's measurement database: 2.2B probe results in TimescaleDB](https://ai-analytics.org/writing/voidly-timescaledb/) — 2025-03-01
- [Voidly's real-time corroboration engine: fetching, aligning, and merging OONI, CensoredPlanet, and IODA data](https://ai-analytics.org/writing/voidly-corroboration-engine/) — 2025-02-22
- [The Voidly MCP server: 83 censorship query tools for Claude and GPT](https://ai-analytics.org/writing/voidly-mcp-server/) — 2025-02-15
- [The Voidly Parquet export pipeline: nightly snapshots from TimescaleDB to HuggingFace](https://ai-analytics.org/writing/voidly-parquet-export/) — 2025-02-08
- [The Voidly open datasets on HuggingFace: structure, daily snapshots, and filter recipes](https://ai-analytics.org/writing/voidly-huggingface-datasets/) — 2025-02-01
- [Censorship incident lifecycle in Voidly: from anomaly detection to verified incident to resolution](https://ai-analytics.org/writing/voidly-incident-lifecycle/) — 2025-01-26
- [From Anomaly to Verified Incident: the Voidly Confidence Tier System](https://ai-analytics.org/writing/voidly-confidence-tiers/) — 2025-01-20
- [Voidly's Server-Sent Events streaming API: real-time censorship incident subscriptions](https://ai-analytics.org/writing/voidly-streaming-api/) — 2025-01-13
- [The Voidly REST API: querying the global censorship index in real time](https://ai-analytics.org/writing/voidly-rest-api/) — 2025-01-06
- [Voidly API authentication: key format, PBKDF2 storage, D1+KV auth flow, and plan tiers](https://ai-analytics.org/writing/voidly-api-authentication/) — 2025-01-01
- [Voidly's alert delivery system: PGP-encrypted email, webhooks, and RSS for censorship incidents](https://ai-analytics.org/writing/voidly-alert-delivery/) — 2024-12-28
- [Voidly incident publication: state machine, Kafka fan-out, and idempotent PostgreSQL upserts](https://ai-analytics.org/writing/voidly-incident-publication/) — 2024-12-24
- [The Voidly measurement scheduler: how we decide which domains to probe and when](https://ai-analytics.org/writing/voidly-measurement-scheduler/) — 2024-12-20
- [Building Voidly's classifier training dataset from OONI: ingestion, alignment, and label generation](https://ai-analytics.org/writing/voidly-ooni-training-data/) — 2024-12-15
- [The Voidly Anomaly Classifier: Five Interference Classes, Gradient Boosted Trees, and Why We Optimize for Recall](https://ai-analytics.org/writing/voidly-anomaly-classifier/) — 2024-12-10
- [Evaluating the Voidly anomaly classifier: per-country confusion matrices, precision-recall curves, and the offline test harness](https://ai-analytics.org/writing/voidly-classifier-offline-test/) — 2024-12-03
- [Voidly's active learning loop: growing the anomaly training set with human-in-the-loop annotation](https://ai-analytics.org/writing/voidly-active-learning/) — 2024-11-27
- [Voidly's ML training pipeline: building a labeled censorship dataset from OONI measurements](https://ai-analytics.org/writing/voidly-ml-training-data/) — 2024-11-20
- [The Voidly measurement quality filter: how we clean 200M OONI records before ML training](https://ai-analytics.org/writing/voidly-measurement-quality-filter/) — 2024-11-13
- [OONI measurement normalization: schema version detection, anomaly bitmasks, and 95.3% pass-through across five schema versions](https://ai-analytics.org/writing/ooni-data-normalization/) — 2024-11-09
- [Building the OONI Historical Corpus: 1.66M Downloads, Schema Normalization, and the Decisions Behind the Dataset](https://ai-analytics.org/writing/ooni-historical-corpus/) — 2024-11-05
- [Censorship attribution via OSINT: DPI vendor signatures, procurement records, and BGP TTL-hop analysis](https://ai-analytics.org/writing/censorship-attribution-osint/) — 2024-11-01
- [Building a digital-footprint reconnaissance pipeline for OSINT investigations](https://ai-analytics.org/writing/osint-digital-footprint/) — 2024-10-28
- [Mapping censorship infrastructure: identifying filtering gateways, DPI vendor signatures, and blocking architecture from network signals](https://ai-analytics.org/writing/censorship-infrastructure-mapping/) — 2024-10-21
- [Building a distributed VPN with intelligent routing](https://ai-analytics.org/writing/distributed-vpn-routing/) — 2024-10-15
- [Named entity extraction and disambiguation in the OSINT pipeline: 58M posts per day, 15,000 entity mentions per hour](https://ai-analytics.org/writing/osint-entity-extraction/) — 2024-10-10
- [Social media ingestion at scale: collecting 58M posts per day from 47 platform schemas](https://ai-analytics.org/writing/social-media-ingestion/) — 2024-10-05
- [NLP pipeline for real-time sentiment analysis at scale](https://ai-analytics.org/writing/nlp-pipeline-scale/) — 2024-09-28
- [Multilingual bot detection: language-stratified training, perceptual image hashing, and per-language Platt calibration across 14 languages](https://ai-analytics.org/writing/multilingual-bot-detection/) — 2024-09-24
- [Detecting coordinated inauthentic behavior in social media at scale](https://ai-analytics.org/writing/coordinated-campaign-detection/) — 2024-09-20
- [Election finance entity resolution: joint fundraising committees, legal-suffix normalization, and four-pass FEC matching](https://ai-analytics.org/writing/election-finance-entity-resolution/) — 2024-09-16
- [Detecting election anomalies using statistical methods](https://ai-analytics.org/writing/election-anomaly-detection/) — 2024-09-12
- [Statistical anomaly detection for election integrity: Benford's Law, digit uniformity, and turnout modeling](https://ai-analytics.org/writing/election-statistical-methods/) — 2024-09-07
- [The election intelligence pipeline: aggregating ballot data, social signals, and media coverage for real-time anomaly detection](https://ai-analytics.org/writing/election-data-pipeline/) — 2024-09-02
- [How we process 2.4M social-media posts per hour](https://ai-analytics.org/writing/processing-millions-posts/) — 2024-08-30

## Security

- [/.well-known/security.txt](https://ai-analytics.org/.well-known/security.txt): vulnerability disclosure policy (RFC 9116)
- [Security acknowledgments](https://ai-analytics.org/security-acknowledgments/): reporter recognition and safe-harbor terms
- Security disclosures: info@ai-analytics.org; send a short initial report and arrange a suitable channel before sharing sensitive details

## License

- Site content: all rights reserved unless otherwise noted
- Voidly-authored material: CC BY 4.0 where stated; upstream measurement data retains its own source license. Check the individual dataset and methodology before reuse.
- Federal Regulatory Data Hub: reuse terms vary by source. US federal employee-authored works are generally public domain under 17 U.S.C. § 105; non-federal and SRO source material retains its source terms; AI Analytics-authored metadata and normalization are CC0 only where explicitly stated and applicable.
- Open-source code: per-repository license, see github.com/voidly-ai