Submit content and get back individual claims with verdicts, explanations, sources, and more — in seconds.
from factivelabs import FactiveLabs client = FactiveLabs(api_key="YOUR_API_KEY") result = client.verify( content="The Earth is 4.5 billion years old. The Great Wall is visible from space.", mode="text" ) for claim in result.claims: print(f"{claim.verdict}: {claim.text}")
Submit text, URLs, documents, or multiple other media formats. We extract claims and fact-check in real-time.
Content is decomposed into precise, atomic claims before verification. Our extraction engine balances focus and coverage so every meaningful claim is captured at the right weight, fast.
Every claim returns confirmed, disputed, or inconclusive. Machine-readable with no parsing and no ambiguity. Use directly in conditional logic.
Each verdict includes the URLs and titles of the sources used to make the determination. Built-in transparency your users can trust.
Get the exact passage from each source that supports or contradicts the claim. Get the evidence, not just a link.
A one-liner for compact UIs, plus a full reasoning breakdown for detail views. Choose which to display — both are included in every response.
Every highlight region includes character offsets and the matched text itself — so you can pinpoint claims by position or simple string search. Build inline highlighting, annotations, or underlines with zero guesswork.
When a claim is disputed, get back corrected text ready to swap in. Go beyond flagging errors — deliver the fix, not just the flag.
Long documents come back with a full section map — name, word count, character offsets, and a skip recommendation for non-verifiable sections like references or appendices. Use it to build a section picker or automatically exclude boilerplate before verification.
Send it all at once, stream it in as it's generated, or submit in bulk.
Send the full content in a single request. Accepts any format — text, URLs, YouTube, TikTok, PDFs, audio, images. Best for articles, documents, and finished content.
POST /api/v1/verify
Push content chunk by chunk as it's generated. We detect paragraphs and start fact-checking before the content is finished. Built for LLM output streams, live transcription, and real-time captions.
POST /api/v1/verify/stream
Submit up to 100 items in a single request. Each is processed independently and concurrently. Best for content pipelines, CMS ingestion, and bulk verification jobs.
POST /api/v1/verify/batch
All at once, streamed as they come, or picked up later in batch.
Send a request, get the full result when processing completes. Best for short content and simple integrations.
"stream": false, "async": false
Receive claim-by-claim results via Server-Sent Events as they're extracted and verified. Ideal for real-time UIs.
"stream": true
Submit and receive a job ID immediately. Poll the status endpoint to check progress. Best for large documents and batch processing.
"async": true
Every claim passes through a multi-model verification pipeline — classified, routed, researched against live sources, dispute-checked, and quality-gated before a single verdict is returned.
Three steps from zero to your first verified claim.
Create a free account and generate your key. 500 free claims per month included.
Use our Python SDK for the fastest integration, or call the REST API directly.
Send any text to the verify endpoint and get back claims with verdicts, sources, and explanations.
Integrate fact-checking into any workflow. Fact-check a single claim at a time or submit content with hundreds or even thousands of claims.
Add a verification layer to any LLM pipeline. Submit model output and get back structured evidence for every claim — before it reaches your users. Try it out live here.
Give your AI agent the ability to verify its own output before presenting it to users. Catch hallucinations in RAG pipelines, chatbots, and copilots. MCP server coming soon.
Flag disputed claims in user-generated content before it goes live. Run at ingestion time or as a batch job across your entire content library.
Verify sources and claims at scale. Process entire articles or documents and get claim-by-claim breakdowns with source citations.
Fact-check articles, press releases, and reports before publication. What takes hours manually takes seconds through the API.
Verify claims in filings, marketing materials, and regulated documents. Reduce liability by catching factual errors before they ship.
A claim is a single verifiable statement extracted from your content. For example, "The Earth is 4.5 billion years old" is one claim. A paragraph might contain 3-5 claims. The API automatically extracts and counts individual claims.
Yes. The Playground lets you test the API without creating an account. For programmatic access, create a free account to get your API key â no credit card required.
On paid plans, youâll be billed $0.01 per additional claim automatically. On the Free plan, requests will return a 402 error â upgrade to continue.
Youâll receive a 429 response with a Retry-After header. Upgrade to a higher plan for increased limits.
An MCP server is coming soon and will be published to the Anthropic Connector Directory and as an open-source package. In the meantime, the REST API works with any agent framework.
The Toadstool app is our consumer product â a fact-checking app built on the same pipeline. The API gives developers and AI agents programmatic access. Same engine, different interfaces.