How this site knows what it says
A map of the AI training data market, from every page you read down to its source.
Everything on this site sits on one of five levels, and each level is built only from the one below it. Click any number anywhere on the site and it takes you down: to the figure, then to the records it is computed from, then to the sources they were read from, and to a permanent copy of each source.
- Level 5
Content
The pages, guides, emails and datasets that show figures and records, each linked down.
The market board, the valuation, the guides, the weekly brief, open datasets and the MCP server: they show figures and records by reference, never a typed number.
- Level 4
Figures
Every number computed from records, with its derivation.
338 figures: counts, medians, ranges, ratios and the valuation model's parameters, each with its derivation and inputs.
- Level 3
Entities
The organisations, kinds of data, holders and business systems the records are about.
- Level 2
Records
Every fact a source states: a price, a deal, a ruling, a buyer's term, a closure.
3,346 facts: 1,051 price observations, 629 laws and rulings, 313 closure signals, 227 financial figures, 150 vendors' stated offerings, 142 buyers' rules on where holders are based, 122 supply facts, 111 licensing deals, 111 funding events, 110 market records, 83 court cases, 69 negotiation levers, 68 quotes, 65 buyer contract clauses, 37 buyers' published terms, 27 rights questions, 18 software terms, 15 licence terms, 14 de-identification rules, 6 catalogue readings, 5 lab purchases, 3 ai crawler census sweeps.
- Level 1
The pipelines that keep each level current
Each pipeline reads on a schedule, writes one level and feeds the next. None of them types a number into a page.
Market research
Every day
ReadsBuyers' and vendors' own pages, regulatory filings, court dockets, the press, research, and the AITraining.jobs pay medians feed.WritesLevel 2. Price observations, negotiation levers and supply facts in the evidence store, each with its source's own words.FeedsWayback archive, Figures, Weekly brief, Open datasets, MCP server, Feed and search announcementsSource watch
Every day, before the research
ReadsEvery source a current record cites, for the words each record was read from.WritesLevel 1. Which sources changed or lost a figure, for the day's research to re-read first.FeedsMarket researchShown onWayback archive
Every day, after the research
ReadsEvery cited source without a permanent copy, and the Internet Archive's captures of it.WritesLevel 1. A permanent copy of each source from near the day it was read, so a citation always shows what the page said then.FeedsFiguresShown onLegal watch
Every week
ReadsEvery statute, regulation, judgment, guidance page and counterparty's published terms the legal positions cite, for the words each was quoted in.WritesLevel 1. Whether each authority's words are still on its page; the legal check fails on one that is not, until it is read again.FeedsWayback archiveShown onLedgers
Every morning, from the money watch's leads
ReadsAnnouncements, filings, dockets and the press about deals, lawsuits, funding, revenue, buyer programmes and contract terms.WritesLevel 2. Licensing deals, court cases, funding events, financial figures, market records, buyers' terms and clauses, rights terms.FeedsFigures, Weekly brief, Open datasets, MCP server, Feed and search announcementsShown onHolder watch
Every morning
ReadsThe Gazette (UK insolvency notices), Hacker News, Y Combinator directory, Site watch, SEC filings (8-K), California WARN notices, Companies House strike-off proposals, Companies House: in administration or liquidation, Sites that turn away AI crawlers, Hugging Face non-commercial datasets, News headlines, and each company's site in the Wayback Machine.WritesLevel 3. Companies whose records may sell: found the day something happened to them (an insolvency, a strike-off, a shutdown, a sale, a site gone dark) or because they already guard data AI developers want, each with its history, its register facts and who decides.FeedsClosures register, Outreach deskShown onCompany intelligence
Every morning, after the holder watch
ReadsFor every company on the lead list, what is due of: UK register match (every 30 days), UK register snapshot (every 30 days), UK officers and owners (every 30 days), UK insolvency cases (every 14 days), UK filed accounts (every 14 days), The company's own site (every 30 days), Wayback Machine (every 30 days), Y Combinator directory (every 30 days), SEC company filings (every 30 days).WritesLevel 3. Each company resolved to one record (its number or name in each register and directory, two leads for one company merged), every fact with its source and the day it is true of, who decides about its records, and a timeline of every change.FeedsOutreach deskAI crawler census
Every morning, with the holder watch
ReadsThe robots.txt of one slice of the 300,000 most visited sites on the Tranco list (4,000 a day, the whole list in about 45 days).WritesLevel 2. One record per sweep: how many sites answered and how many shut each AI crawler out. The sites that do are holders, written to the holder watch.FeedsHolder watch, FiguresShown onAITraining.jobs pay feed
Every morning
ReadsThe median advertised hourly rate per kind of AI training work, recomputed daily by AITraining.jobs (same owner as this site, disclosed on every row).WritesLevel 2. The day's pay medians as price observations, kept current in place, with their history in a daily series.FeedsFiguresShown onIntegrity checks
Every morning, after the pipelines
ReadsEvery page, figure and record the site publishes.WritesLevel 4. Nothing: it fails loudly on a token that names nothing, a figure with no inputs, a number typed into a page, a store past its cadence or a search-engine integrity problem.Shown onMoney watch
Every morning, before the research
ReadsThe news of the last days for every company the site tracks (rounds, financing, acquisitions, run-rates, budgets to buy data) and for the market (licensing deals, data sales, lawsuits and rulings over training data).WritesLevel 2. Leads only: each is read on the company's own page, the docket or named press before it becomes a funding event, a financial figure, a deal, a case or a market record.FeedsLedgersShown onLot index
Every morning, with the research
ReadsEvery public catalogue of data on offer: Grepped marketplace, Appen data catalog, Kled dataset library, each read whole.WritesLevel 2. One record per catalogue per day (how many lots it listed, which were new, which left it), and every lot side by side in this site's terms.FeedsFigures, Pages and guidesShown onClosures register
Every morning, after the holder watch
ReadsThe companies the holder watch found that our review confirmed, from public signals only.WritesLevel 3. A public page for each technology company closing, sold or gone dark, with every signal linked.FeedsFiguresShown onFigures
On every publish
ReadsThe records.WritesLevel 4. Every count, median, range, ratio and model parameter the site shows, with its derivation and inputs.FeedsPages and guidesShown onPages and guides
On every publish
ReadsFigures and records, by reference (never typed).WritesLevel 5. The site's pages and guides.Shown onOutreach desk
Every day
ReadsLeads our review marked worth an approach, and the people who decide about them (licensed people search).WritesLevel 5. One email per company, naming it, every figure in it read from the records.Shown onWeekly brief
Every Monday
ReadsThe week's new records.WritesLevel 5. One issue to every confirmed subscriber, each item linked to its record.Shown onOpen datasets
When the tables change
ReadsEvery table the site serves.WritesLevel 5. CSV and JSON downloads, and dated snapshots with a DOI at Zenodo, Figshare and the Internet Archive.Shown onMCP server
Live
ReadsThe records and figures.WritesLevel 5. Answers for AI assistants, each with a link to its record.Shown onFeed and search announcements
Every day
ReadsThe day's new and changed pages.WritesLevel 5. The Atom feed and IndexNow pings, so search engines read new records the day they appear.Shown on
How current each store is
The day each store was last read against its sources, and how often it has to be. A store that misses its day is the first thing the next morning's run brings current.
- Records1,051Last reviewed17 Oct 2026Reviewed everyDayNewest record17 Oct 2026
- Records111Last reviewed17 Oct 2026Reviewed everyDayNewest record14 Oct 2026
- Records227Last reviewed17 Oct 2026Reviewed everyDayNewest record16 Oct 2026
- Records111Last reviewed17 Oct 2026Reviewed everyDayNewest record15 Oct 2026
- Records83Last reviewed17 Oct 2026Reviewed every2 daysNewest record15 Oct 2026
- Records110Last reviewed17 Oct 2026Reviewed everyDayNewest record16 Oct 2026
- Records511Last reviewed17 Oct 2026Reviewed everyDayNewest record17 Oct 2026
- Records37Last reviewed16 Oct 2026Reviewed every7 daysNewest record16 Oct 2026
- Records65Last reviewed17 Oct 2026Reviewed every30 daysNewest record17 Oct 2026
- Records150Last reviewed15 Oct 2026Reviewed every90 daysNewest record16 Oct 2026
- Records122Last reviewed16 Oct 2026Reviewed every14 daysNewest record16 Oct 2026
- Records69Last reviewed17 Oct 2026Reviewed every14 daysNewest record17 Oct 2026
- Records18Last reviewed11 Oct 2026Reviewed every30 daysNewest record11 Oct 2026
- Records149Last reviewed17 Oct 2026Reviewed everyDayNewest record17 Oct 2026
- Records3Last reviewed17 Oct 2026Reviewed everyDayNewest record17 Oct 2026
In this topic
Research
- Start hereWhere does every number come from?The evidence underneath everything: every source, every record, every derived figure, the method, and the open datasets.
- GuideHow We Source and Check Every Number on This SiteEvery number here links to a record, every record to its source's own words, re-read daily. How sources are weighed, figures derived and guides built on them.
- GuideWhat Is Training Data Provenance, and Why Buyers Now Ask for ItTraining data provenance is the record of where data came from, the rights it was collected under and what was done to it. Buyers now ask for it in writing.
- RegisterRecordsEvery fact about the market, each with its source.
- RegisterSourcesEvery page, filing and report the records were read from.
- RegisterFiguresEvery number on the site and how it is computed.
- PageDatasetsThe registers as open datasets to download and cite.
- ToolMCP serverAsk an AI assistant for prices, buyers and deals from these records.
- PageAll guidesEverything published here, as one tree.