A confident answer, a ranked shortlist, or an honest no.
For queries a model can’t confidently place.
You half-remember something and can’t place it.
Not for: who directed Jaws · capital of France · well-known facts — normal search is faster there.
Does your agent make things up when it can’t quite place a query? Search Fragments is built not to.
On the queries a model can’t confidently place, it resolves the answer and points to the sources, narrows it to a ranked shortlist, or declines — rather than filling the gap.
Why AI agents hallucinate
Fragmented queries are a particular hallucination trap. A user gives an agent real signal — a partial memory, an indirect clue, a missing name — but not enough for the model to safely answer from memory. The model can recognise the pattern without being able to verify the answer, and a plausible guess can become a fluent, confidently wrong answer.
Search Fragments is built for that gap: evidence-grounded resolution, a ranked shortlist to confirm by eye, or an honest no-resolution rather than a forced answer. Read: Why AI agents hallucinate and confidently invent answers →
Connect to your agent
Available in Claude, Cursor and Raycast, or add the URL below to any MCP-compatible agent. When your agent hits a half-remembered fragment it can’t confidently place, it can call Search Fragments instead of guessing. Free. No account needed.
https://searchfragments.com/api/mcp
Manual setup
{
"mcpServers": {
"search-fragments": {
"url": "https://searchfragments.com/api/mcp"
}
}
}URL only.
MCP 2025-11-25 Streamable HTTP · Three tools: resolve_fragment · verify_claim · submit_resolution_feedback
Half-remembered, cross-source queries usually take a dozen tabs and five rephrasings. Search Fragments collapses that into one call.
When an agent hits a half-remembered, cross-source query it can’t pin down, it guesses — confidently, and often wrong. Search Fragments is built for exactly those queries. It returns a named answer, ranked sources to confirm by eye, or an honest “not resolvable.” It declines rather than guesses. If your agent has this problem, wire it in and try it — the demo above runs a real resolution right now.
- Resolved A named answer, with confidence justified by the evidence found.
- Shortlist Ranked web sources to read and confirm by eye — results returned, but no confident semantic identification made.
- No resolution An explicit no-resolution — not resolvable from the clues given.
Built to decline rather than guess.
Tested
On 50 hard, under-documented fragments, a baseline agent produced three specific fabrications — a real film falsely attributed to a real director who had no connection to it, a specific named sketch that was never performed, and a specific researcher and location for a study that has no single canonical paper. Search Fragments did not assert an answer to any of them.
Building an agent that hits these queries? Get in touch.
