Agent Memory for Claim Verification

Before your AI hallucinates,Factagora verifies.

Ground your AI in verified facts, evidence, and causal reasoning. One API layer on top of any LLM, vector DB, or RAG stack.

Get an API key Read the docs

POST/fact-checker200 OK

claim

Studies have found that cola drinks may negatively impact bone health

verdict

TRUE0.72

sources

snopes.com92%
health.harvard.edu80%

The API

One key, three endpoints.

Bearer auth, structured JSON responses, OpenAPI spec included. Works with any language and framework.

Full API reference

GET/fact-search

Fact Search

Search verified sources and get ranked, cited results for any query.

POST/fact-checker

Fact Checker

Verify any claim against original sources with a confidence verdict.

POST/evidence-finder

Evidence Finder

Surface supporting and opposing evidence, ranked by strength.

How it works

Send a claim. Get a verdict you can cite.

One call returns a confidence-scored verdict, with the exact sources behind it, ready to ground your output.

POST/fact-checkerRequest

{
  "claim": "Tesla delivered 1.81M vehicles in 2023."
}

200 OKResponse

verdict

TRUE0.94

sources

Tesla Q4 2023 production & deliveriesreuters.com
2023 Annual Reportir.tesla.com
Form 10-K, FY2023sec.gov

Benchmarks

Measured, not claimed.

Search finds text that matches. It can't tell old from new. Measured against a vector store, same model, same queries.

Time

Answers that leaked future data

Plain search0%

With tckg0%

Cause

Cause-and-effect accuracy

Plain search0%

With tckg0%

Where it fits

Add one trust layer. Keep your stack.

No migration, no retraining. Factagora sits between your application and the stack you already run, and adds verification in a single call.

Your applicationChatbot · Agent · Copilot

FactagoraOne API call

Your stackLLM · Vector DB · RAG

Grounded answerSources + confidence score

FAQ

Frequently asked questions

Still have questions? Feel free to reach out anytime.

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