AI Hallucination Detector
Developer experience
Verify AI claims with live web data.
Use the Answers endpoint to fact-check AI-generated claims by grounding them against live web sources.
Ground AI text before you publish it
The detector splits text into claims and checks each one with the Olostep Answers API — the same true/false task as the snippet on this page.
Claim extraction
A first pass pulls checkable statements out of the pasted text.
Web verification
Each claim is checked against live sources via /v1/answers.
Suggested fixes
False claims come back with a corrected sentence when the model can offer one.
How it works
Each tool is designed around a direct job: provide the input, get a useful output, and move it into your workflow.
- 1
Paste the text
Use an AI draft, a paragraph, or a set of bullets.
- 2
Extract and verify
Claims are listed, then each one is grounded on the web.
- 3
Review the verdicts
Keep True claims, fix False ones, and investigate insufficient ones.
Built for practical workflows
These tools are small on purpose: they solve the conversion job quickly, then point teams toward the API path when the workflow becomes recurring or high volume.
Content QA
Check a draft before it goes to a customer or a blog.
Research notes
Verify stats and founding dates in a briefing.
Model evals
Spot-check answers from an internal agent.
Need this at scale?
Call POST /v1/answers with a true/false task per claim. The snippet on this page is the production shape.
Frequently asked questions
Product & Capabilities
Usage & Automation
Pricing & Plans