| What it does | Evidence laid out, not a lone percentage.
| Catch your AI agents' mistakes, block the dangerous ones
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| Stage | Not given
| Startup
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| Founded | Not given
| 2026
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| Based in | Not given
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| Pricing model | Freemium
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| Pricing | Free plan: 4 welcome credits (1 full report). Pro: $19/month for 300 credits/month. Team: $59/month for 1500 credits/month. Each report costs 4 credits.
| Free: $0/month with 5,000 conversations/month, Langfuse or LangSmith integration, problems and Slack alerts, rules that block costly actions, no credit card required. Starter: $49/month for 25,000 conversations/month plus email support. Growth: $149/month for 100,000 conversations/month plus priorit
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| Key features | - Cross-checks four independent detection models
- Deterministic evidence trump card (C2PA credentials, generator self-tags)
- Published weighted-vote rule (30% each for Sightengine, Winston AI, Was It AI; 10% for SAFE)
- Batch screening of up to 50 images at once
- Graded conclusions with disagreement reported
- Shareable report links and forensic PDF download
- Support for JPEG, PNG, WebP up to 12MB
- Generator-specific classification (Midjourney, DALL-E, Stable Diffusion, Flux, Imagen, Adobe Firefly, Ideogram)
- SHA-256 file hash recording for chain-of-custody
- Private uploads, shared only via report link
| - Monitor AI agent conversations without code by connecting Langfuse or LangSmith
- Judge conversations on six criteria: accuracy, goal alignment, decision quality, completeness, helpfulness, and factuality
- Create code-based rules that block risky actions before they run
- Group failures into problems with suggested rules and failure counts
- Send Slack alerts for serious mistakes and reply checks immediately
- Add to agents with one line of Python code for OpenAI Agents SDK, LangChain and LangGraph
- Mask sensitive data like email addresses, phone numbers and card numbers before sending to Kalytera
- Rules continue running offline if Kalytera goes down
- Correct judge verdicts by marking conversations as passed or failed
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| What makes it different | - Published weighted-vote rule with every vote shown by name instead of hidden percentages
- Reports disagreement honestly instead of blending signals into one number
- Automatic credit refund when an engine fails
- Full product access in free tier (not a limited teaser)
- Deterministic file evidence (C2PA, metadata) that outranks model votes
| - Rules are code-based, not AI, so they cannot be overridden or argued with
- No code setup using Langfuse or LangSmith connections for immediate visibility
- Rules continue protecting agents even when Kalytera is offline
- Catches exact mistakes from real AI agent incidents like database deletes, account takeovers and crypto theft
- Customer data stays on your servers; Kalytera only reads conversations, never writes or stores sensitive data
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 41 ▲ +1 (up) since last check | 1 ● no change since last check |
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| Trust Flow (Majestic) | 13 | 0 |
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| Citation Flow (Majestic) | 27 | 14 |
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| Referring domains (Majestic) | 102 | 28 |
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AI Image Detector