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Fact-check anything
in real-time with
one API call.

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}")
▶ Response
Confirmed "The Earth is 4.5 billion years old"
Disputed "The Great Wall is visible from space"
2 claims · 1.2s · 6 sources

Submit any content.

Submit text, URLs, documents, or multiple other media formats. We extract claims and fact-check in real-time.

Text
Web / URLs
PDF
Word
Voice / Audio
Images
YouTube
Instagram
TikTok
X
Reddit
ChatGPT
Perplexity
Gemini
Claude

Get back structured data.

Granular Claims

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.

Verdicts

Every claim returns confirmed, disputed, or inconclusive. Machine-readable with no parsing and no ambiguity. Use directly in conditional logic.

Source Citations

Each verdict includes the URLs and titles of the sources used to make the determination. Built-in transparency your users can trust.

Source Snippets

Get the exact passage from each source that supports or contradicts the claim. Get the evidence, not just a link.

Short & Detailed Explanations

A one-liner for compact UIs, plus a full reasoning breakdown for detail views. Choose which to display — both are included in every response.

Claim Positioning & Text

Every highlight region includes character offsets and the matched text itself — so you can pinpoint claims by position or simple string search. The original sentence and a source fingerprint are included too, giving you automatic recovery when the local text has shifted. Overlaps are pre-resolved and disputed claims are prioritized. Build inline highlighting, annotations, or underlines with zero guesswork.

Corrective Text

When a claim is disputed, get back corrected text ready to swap in. Go beyond flagging errors — deliver the fix, not just the flag.

Choose from three input modes.

Send it all at once, stream it in as it's generated, or submit in bulk.

Complete Default

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

Streaming Real-time

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

Batch Bulk

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

Choose from three response modes.

All at once, streamed as they come, or picked up later in batch.

Synchronous Default

Send a request, get the full result when processing completes. Best for short content and simple integrations.

"stream": false, "async": false

Streaming SSE

Receive claim-by-claim results via Server-Sent Events as they're extracted and verified. Ideal for real-time UIs.

"stream": true

Batch / Async Polling

Submit and receive a job ID immediately. Poll the status endpoint to check progress. Best for large documents and batch processing.

"async": true

How our pipeline works...

Every claim is extracted, verified against multiple sources, and returned with structured evidence.

📄

1. Content Extraction

Send any format — text, URL, audio, YouTube video, TikTok, PDF, DOCX, AI chat share links, images, and more. We extract the raw text automatically.

Input "OpenAI was founded in 2015 by Sam Altman and Elon Musk as a nonprofit research lab focused on artificial general intelligence. The company released GPT-4 in early 2023, which was trained on over 1 trillion parameters. ChatGPT reached 100 million users within two months of launch, making it the fastest-growing consumer app in history."

2. Claim Extraction

Our AI model decomposes the text into individual granular claims — each one a single verifiable statement. A single paragraph can produce dozens of claims, a long research paper can produce over 1,000.

5 claims extracted 1. "OpenAI was founded in 2015"
2. "Sam Altman and Elon Musk founded OpenAI"
3. "OpenAI was founded as a nonprofit research lab"
4. "GPT-4 was trained on over 1 trillion parameters"
5. "ChatGPT reached 100 million users within two months of launch"
🔍

3. Verification

Each claim is independently verified against multiple sources. Depending on the knowledge domain for the claim, different models and verification approaches are applied.

4. Data delivery

You get back structured results for every claim: a verdict, short and detailed plain-English explanation, source citations with relevant snippets, and corrective text when a claim is disputed. You also receive pre-resolved highlight regions with character offsets, the matched text, and the original sentence — everything you need to map verdicts back to the source document and build inline highlighting in your UI.

Get started in 2 minutes.

Three steps from zero to your first verified claim.

1

Get your API key

Create a free account and generate your key. 500 free claims per month included.

2

Install the SDK (optional)

Use our Python SDK for the fastest integration, or call the REST API directly.

pip install factivelabs
3

Verify your first claim

Send any text to the verify endpoint and get back claims with verdicts, sources, and explanations.

result = client.verify(content="Your text here", mode="text")

Built for production environments.

Integrate fact-checking into any workflow. Fact-check a single claim at a time or submit content with hundreds or even thousands of claims.

💪

AI Safety & Hallucination Detection

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.

🤖

AI Agents & Copilots

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.

📜

Content Moderation

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.

📚

Research & Journalism

Verify sources and claims at scale. Process entire articles or documents and get claim-by-claim breakdowns with source citations.

📰

Publishing & Editorial

Fact-check articles, press releases, and reports before publication. What takes hours manually takes seconds through the API.

⚖️

Compliance & Legal

Verify claims in filings, marketing materials, and regulated documents. Reduce liability by catching factual errors before they ship.

See it in action at Toadstool.

Review mode

Fact-check content from all forms of media: text docs, audio, YouTube, Instagram, links, AI shares, and more.

Factive Review Mode

Search mode

Fact-check AI chats in real-time. Try different models: ChatGPT, Perplexity, Gemini, and more.

Factive Search Mode

Frequently asked questions:

What counts as a "claim"?

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.

Can I try the API before signing up?

Yes. The Playground lets you test the API without creating an account. For programmatic access, create a free account to get your API key — no credit card required.

What happens if I exceed my monthly credits?

On paid plans, you’ll be billed $0.01 per additional claim automatically. On the Free plan, requests will return a 402 error — upgrade to continue.

What happens if I hit the rate limit?

You’ll receive a 429 response with a Retry-After header. Upgrade to a higher plan for increased limits.

Do you offer an MCP server for AI agents?

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.

How is the Toadstool app different from the API?

The Toadstool app is our consumer product — a fact-checking app built on the same pipeline. The API gives developers and AI agents programmatic access. Same engine, different interfaces.