How AI buyers evaluate a dataset before buying
Before purchasing, AI buyers evaluate datasets on provenance, quality, coverage, rights documentation and preparation quality — criteria that determine whether company data is licensable.
The evaluation criteria
Reporting on AI data deals and industry practice point to a consistent checklist:
- Provenance. Where did the data come from, and who consented?
- Rights. Does the seller have authority to license it?
- Quality. Is it real, complete and representative of actual work?
- Coverage. How many records, over what period, in which languages?
- Preparation. Is it anonymized, structured and documented?
Why preparation decides outcomes
Raw exports rarely pass. Data that has been assessed, anonymized and structured — the work SourceX does — is what clears buyer review.
What this means for partners
You do not need to evaluate data yourself. Introduce a qualifying company — typically 50+ full-time employees at peak — and SourceX handles assessment onward. If a deal closes and SourceX collects its fee, you earn 25% of that fee, up to $100,000 per company.
- Step 1Share your linkSend your personal link to a company you know.
- Step 2Company appliesThe company applies itself at /apply.
- Step 3Buyer selects and paysThe buyer selects and pays for the data and SourceX receives its fee.
- Step 4You get your rewardYour share of SourceX fees becomes payable.
Free resources
- MOIC calculator — Multiple on invested capital from realized and unrealized value.
- PDF bank statement to CSV converter — Turn Chase, Bank of America or Wells Fargo PDF statements into CSV, privately in your browser.
- Client data licensing eligibility checker — A transparent preliminary screen for one company.
- All free tools · MCP resource center
By SourceX Partnerships Team · Published 2026-10-09 · Updated 2026-10-08
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