No sense of what was missed
A result looks complete even when a permission wall or an outage hid the source that would have changed the answer.
Find Anything is a permission-aware retrieval control layer. It shows agents what they found, what they missed, where sources conflict, why one source ranked higher — and when retrieval should not be trusted.
Google Drive integration built and tested — working in private beta; authenticated access pending Google restricted-scope verification. Other connectors are labeled Planned.
Find Anything governs retrieval evidence — it does not assert factual correctness or make decisions for you.
An AI agent will answer from whatever it can reach — the draft or the executed version, the newest file or the oldest. It rarely tells you what it missed or where its sources disagree.
A result looks complete even when a permission wall or an outage hid the source that would have changed the answer.
Two documents state two different prices. The agent picks one and moves on — the contradiction never surfaces.
When the answer is wrong, there is no trace of what ranked, why, or which version governed the decision.
An agent at the fictional Acme AI is asked for enterprise pricing and finds two documents that disagree. Find Anything preserves both, then explains which one should be trusted — and why.
Nothing is hidden. The contradiction is reported, both figures stay visible with exact citations, and the ranking rationale travels with the result. Find Anything explains the ranking — it does not claim which number is objectively correct.
For the same Acme AI question, eight sources are known to exist. Seven are within permission scope and were searched. One sits behind a wall the agent is not allowed to cross — so it is excluded and counted, never quietly dropped.
Every result carries exact citations, source links, a confidence signal, and a replayable trace. Nothing is asserted without a pointer back to where it came from.
“What is Acme AI's current enterprise price?”
The governing figure is $120,000 / year plus $25,000 implementation, from the approved final document[1]. An earlier draft lists $95,000 / $20,000[2] and is flagged as superseded.
Scope resolved → 8 sources known, 7 in permission → 7 searched, 1 excluded.
Final ranked above Draft on recency + approved status + authoritative marker.
Price mismatch detected between Draft and Final; both preserved and cited.
A receipt records what a retrieval ran against: document-version and index snapshots, the permission context, extraction and ranking configuration versions, and the query parameters. Replaying a stored receipt against unchanged inputs is deterministic. When documents, permissions, or configuration have changed, a re-run produces a diff — not a claim of the same result.
Runs inside the agent's existing permissions. Out-of-scope sources are never read.
Every claim points to a specific source, page, and passage you can open.
Disagreements between documents are surfaced, not silently resolved.
Recency, approval, and explicit markers explain which source should lead.
A clear signal for when a result is solid — and when it is not.
What was searched vs. known to exist, including what was excluded and why.
A step-by-step record of scoping, ranking, and conflict handling.
Re-run a stored receipt. Unchanged inputs replay deterministically; changed inputs produce a diff.
A stored record of what ran: snapshots, permission context, configuration versions, and query.
See what changed between runs when your sources change.
Built and working in private beta; authenticated access pending Google verification. Other connectors are Planned.
A single API returns the answer and all of its evidence together.
Give your agent a retrieval it can defend. The response carries citations, coverage, confidence, conflicts, and a replay handle — so your agent can decide whether to trust what it found.
receipt_id for replay and diff.// Response — synthetic Acme AI example { "answer": "Enterprise: $120,000/yr + $25,000 impl.", "confidence": "medium", "citations": [ { "source": "Pricing Final.pdf", "page": 2, "authoritative": true }, { "source": "Pricing Draft.pdf", "page": 1, "superseded": true } ], "conflicts": [ { "field": "annual_price", "values": ["$120,000", "$95,000"] } ], "coverage": { "known": 8, "searched": 7, "excluded": [{ "reason": "out_of_scope" }] }, "receipt_id": "rcpt_9f2a…" // replay + diff }
Find Anything is a governance layer. Its whole job is to respect boundaries — so it is built to hold them.
Results never cross a permission an agent doesn't hold. Scope is enforced on every request.
Traces and receipts record what ran and why — not the private contents of your documents.
An out-of-scope source contributes nothing to a result — not even its title or a snippet.
Receipts store what each retrieval ran against. Unchanged inputs replay deterministically; changed inputs produce a reviewable diff.
The Google Drive integration is built and tested, working in private beta while authenticated access awaits Google's restricted-scope verification. Everything else is labeled Planned — we don't claim integrations we haven't shipped.
Find Anything is a controlled private beta. Tell us about your knowledge and your agents, and we'll review the fit.
This page has no submission backend — a valid request opens your email client instead. Nothing is transmitted silently.
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