| What it does | Free AI content detector that shows which passages read as AI, how strongly, and what to change before you submit.
| Independent verification for AI agent outcomes
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| Stage | Not given
| Startup
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
| Freemium
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| Pricing | Free tier: up to 2,000 characters preview or 2,500 Word Tokens for account holders. $9.99 7-Day Pass: 30,000 Word Tokens valid for seven days, includes passage-level revision guidance and re-check loop.
| Hobbyist: free forever with 250 checks/month; Pro: $9/month with 2,500 checks/month, $0.01 per extra check
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| Key features | - Multiple detection engines that route based on language accuracy rather than averaging
- Passage-level analysis showing which parts read as AI with evidence
- OmniScore from 0-100 with confidence breakdown by engine
- Re-check revised text within seven days using same Word Token balance
- Free guest access without signup or credit card required
- Published accuracy measurements including failure cases
- Support for multiple languages including English and Japanese
- Document management with ability to delete at any time
| - Independent outcome verification with VERIFIED, FAILED, or UNKNOWN status
- First-party adapters for Stripe, GitHub, Linear, Sentry, Resend, and HTTP endpoints
- MCP integration with Claude Code, Cursor, and any MCP host
- GitHub Actions required check that fails on unverified claims
- Audit trail storing claims, evidence, and verdicts separately
- Capability inspection before agents call tools
- Read-only credential access with AES-256-GCM encryption
- Continuous monitoring with watches every 5-10 minutes on Pro plan
- Evidence retention for 7 days on Hobbyist, 1 year on Pro
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| What makes it different | - Shows evidence and limitations alongside results instead of just a score
- Routes to best engine per language rather than averaging detectors
- Guided revision workflow with re-check loop to improve flagged passages
| - Refuses to guess: returns UNKNOWN rather than false positives when evidence is unreachable
- Neutral gate between agent execution and success verification
- Runs the same way in production as in development
- Never needs write access, only reads authoritative state
- Structured audit trail for debugging and agent evaluation
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 9 ● no change since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 1 |
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| Citation Flow (Majestic) | 31 | 23 |
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| Referring domains (Majestic) | 109 | 14 |
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OmniDetect
DidWork