AI agents need data about real work
The AI industry is shifting from models that answer questions to agents that perform tasks. Training and evaluating agents requires records of real work — data that exists only inside companies.
The shift to agents
The industry's stated direction is AI agents: systems that do not just answer questions but complete multi-step tasks — resolving issues, processing orders, coordinating work.
The data problem
- Answering questions can be learned from text. Doing work must be learned from records of work.
- Public data shows people talking about work, not performing it.
- Real task sequences — with decisions, tools and outcomes — exist only in company systems.
Why this raises the value of company data
Every support desk, CRM, and operations system holds exactly these task records. As agent development accelerates, reporting suggests demand for this data category is growing fastest (Reuters).
What this means for partners
Companies with 50+ full-time employees at peak hold years of task records. Introduce one to SourceX; 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
- Portfolio data opportunity scanner — Screen several companies in one session.
- Working capital calculator — Net working capital, current ratio and quick ratio.
- Due diligence checklist generator — A tailored document request list by deal type.
- All free tools · MCP resource center
By SourceX Partnerships Team · Published 2026-10-09 · Updated 2026-10-09
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