Research.
Measure trustworthiness of AI research output, not recall.
Research measures whether AI research agents produce findings you can actually trust. It ingests query-and-answer pairs, source citations, and human reviewer flags to score citation accuracy, source coverage, and factual reliability.
Ingest, measure, trust.
Feed in query-answer pairs, source citations, and reviewer flags.
Score citation accuracy, source coverage, and factual error rate.
Ship only the findings that clear the trust bar.
What it measures.
Cited sources that genuinely support the claim, verified against fetched content.
Independent sources per claim. Avoid single-point-of-truth findings.
Flagged hallucinations, wrong dates, wrong numbers. Negative weight on the score.
How fresh the cited sources are vs the topic timeline.
Did the agent go beyond the first page of search results.
Token spend divided by human-validated findings.
Who reaches for Research.
- ·Research operations leaders
- ·Consulting firms
- ·Market intelligence teams
Pairs with the rest of Observe.
Want Research in your stack?
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