Why data freshness matters for AI models
AI models trained on old data lack knowledge of the current world. Fresh data keeps models current, which is why ongoing data supply relationships command ongoing payment.
The staleness problem
A model's knowledge ends with its training data. Products, prices, language and situations change — and models that do not keep up become less useful.
How buyers respond
- Multi-year licensing agreements with ongoing access, like Reddit's disclosed contracts (SEC filing).
- Refresh cycles built into data supply terms.
- Premiums for continuously updated datasets.
What this means for companies
A company that keeps operating produces fresh data continuously. Ongoing supply can turn a one-time archive sale into recurring revenue.
What this means for partners
One introduction can lead to a multi-year relationship. You earn 25% of SourceX's collected fee, up to $100,000 per company, as fees are collected.
- 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
- SDE vs EBITDA calculator — Seller's discretionary earnings next to market-rate EBITDA.
- IRR calculator — Internal rate of return on annual cash flows.
- Business valuation calculator — Enterprise and equity value from EBITDA, your multiple, cash and debt.
- All free tools · MCP resource center
By SourceX Partnerships Team · Published 2026-10-09 · Updated 2026-10-09
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