Your AI can generate confident-sounding lies. Factagora API lets you catch them.
The Problem
LLMs hallucinate. They state false claims with high confidence, cite sources that don't exist, and have no way to verify themselves. If you're building AI products agents, assistants, research tools you're shipping unverified outputs every day.
Building a verification layer from scratch means ML infrastructure, credibility scoring, news pipelines, and causal reasoning. Most teams skip it. That's the problem Factagora solves.
What You Get: 6 Endpoints
Fact Checker
Input: any text claim
Output: TRUE / FALSE / UNCERTAIN + confidence score (0–1) + supporting sources
Evidence Finder
Input: a claim or topic
Output: ranked evidence with credibility score + stance SUPPORTS / CONTRADICTS / NEUTRAL)
News Search
Input: keyword or topic
Output: structured news results with publication metadata
Deep Research
Input: any research question
Output: multi-source synthesis with inline citations
Timeseries
Input: entity or topic
Output: how claims, events, and sentiment change over time
Causality Graph
Input: event, claim, or topic
Output: cause-and-effect relationships extracted from structured knowledge no competitor offers this endpoint
Who It's For
- AI developers building agents that need ground-truth verification
- Startups shipping assistants, copilots, or research tools
- Newsrooms and media platforms that need claim verification at scale
- Fintech and legal teams that need traceable, cited intelligence
Get Started Free
No credit card required. Start with 100 free credits.
REST API. Standard Bearer auth. JSON responses. Works with any stack.
