Published prices, market rates, buyers, deals and rulings for AI training data, and valuations.
Score is being calculated.
For a business system (Slack, Microsoft 365, Google Workspace, Salesforce, HubSpot, Zendesk, Zoom, GitHub, Notion and more): whether the owner can export its data, what the vendor's API terms say about training AI on data pulled through them, the content's rights risk, and the clauses word for word. Without system, lists the systems on file.
| Name | Required | Description | Default |
|---|---|---|---|
| system | No | The system's name, such as "Slack" or "Zendesk". |
Organisations with a public way to sell them data, with their own published terms: what they want, what they pay, when they pay, who removes personal data, eligibility, and what they pay an introducer. Largest published figure first.
| Name | Required | Description | Default |
|---|---|---|---|
| kind | No | The kind of data: company-records (Company records), source-code (Source code), video (Video and footage), audio-speech (Audio and speech), images (Images), text-archives (Text and archives), datasets-environments (Datasets, tasks and environments), physical-world (Physical-world data), expert-work (Expert and human work). | |
| limit | No | How many rows to return (default 10, at most 50). | |
| query | No | Words that must all appear in the buyer's name or terms. |
Median, middle half and range per comparable unit (per hour of video or audio, per image, per task, per company, per title, and more) for each kind of AI training data and each side of the market, computed from published prices. Without kind, returns every rate the evidence supports a median for.
| Name | Required | Description | Default |
|---|---|---|---|
| kind | No | The kind of data: company (Company records), code (Source code), video (Video and footage), audio (Audio and speech), images (Images), text (Text and archives), environment (Datasets, tasks and environments), physical (Physical-world data), people (Work by people). | |
| side | No | The side of the market: pay (Paid to the people who make it), offer (Offered to holders), licence (Sales that happened), listing (Asking prices off the shelf), collection (Made to order), cost (Cost to produce). |
Every table behind these tools as a CSV and JSON download under CC BY 4.0, with row counts, review dates and the permanent copies with their DOIs.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Lawsuits, rulings, settlements and regulatory actions over data used to train AI, with parties, claim, amounts, outcome, status and the source. Newest first.
| Name | Required | Description | Default |
|---|---|---|---|
| kind | No | The kind of case: guidance, lawsuit, regulatory action, ruling, settlement. | |
| limit | No | How many rows to return (default 10, at most 50). | |
| query | No | Words that must all appear, such as a party ("Anthropic"), a court or a kind of content ("books"). |
Licences of data to AI companies disclosed since July 2023: licensor, licensee, content, use (training or display), term, value where disclosed, with a verbatim quote and the source. Newest first.
| Name | Required | Description | Default |
|---|---|---|---|
| use | No | What the data is used for. | |
| limit | No | How many rows to return (default 10, at most 50). | |
| query | No | Words that must all appear, such as a licensor, a licensee ("OpenAI") or a kind of content ("news"). | |
| since | No | Only deals on or after this date (YYYY, YYYY-MM or YYYY-MM-DD). |
The individual price observations behind the market rates: what a lab, vendor, marketplace or court said data was paid, offered, listed or sold for, with the figure as published, the figure per unit, the date, the source's own words and a link. Newest first.
| Name | Required | Description | Default |
|---|---|---|---|
| kind | No | The kind of data: company (Company records), code (Source code), video (Video and footage), audio (Audio and speech), images (Images), text (Text and archives), environment (Datasets, tasks and environments), physical (Physical-world data), people (Work by people). | |
| side | No | The side of the market: pay (Paid to the people who make it), offer (Offered to holders), licence (Sales that happened), listing (Asking prices off the shelf), collection (Made to order), cost (Cost to produce). | |
| limit | No | How many rows to return (default 10, at most 50). | |
| query | No | Words that must all appear, such as a company ("Shutterstock"), a language ("hindi") or a kind of record ("egocentric"). |
What published prices imply for a holding of data: a low-to-high range in US dollars with the arithmetic behind it. Call it first with only kind to get the questions and their answer ids, ask the holder, then call again with answers. Questions not answered are taken at their defaults and marked as assumed. An indication, never an offer.
| Name | Required | Description | Default |
|---|---|---|---|
| kind | Yes | What is being valued: records (Company records), code (Codebases), tasks (Training tasks), video (Video and footage), speech (Audio and speech), images (Images), text (Text and archives), environments (Simulated environments), robotics (Robot and physical-world data). | |
| answers | No | Answer ids by question id, as returned in `questions` (for example {"hours": "1000"}). |
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
check_software_termsfind_buyersget_market_rateslist_datasetssearch_casessearch_dealssearch_pricesvalue_dataData-economy news: markets, alt data, AI training data, licensing, deals. Agents can contribute.
Parsed public-domain market data for AI agents, priced below DIY inference cost, paid via x402.
Private company data, entity-resolved news, targeted lists, and alternative signals for AI agents.
Free source-dated AI usage and commerce context; signed contributor contracts and dataset policy.
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