| What it does | Platform to evaluate, trace, monitor and security test AI agents
| 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 plan at $0 forever with 5,000 spans/month, 25 test runs/month, 100 evaluator executions/month, 2 custom evaluators, 5 datasets, 2 prompts, 5 users, 3 projects, 7-day data retention. Pro plan at $39 per month with 200,000 spans/month plus $5 per 100k additional spans, 100 test runs/month, 5,000
| 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 | - Observability and tracing of every LLM call, tool invocation and decision point with latency, cost and token usage metrics
- Evaluation to score agent answers before release against traces that broke
- Simulation to test agents with realistic users before launch
- Red teaming to find injection, tool abuse and data leaks before launch
- Prompt management with versioning and deployment controls
- Online evaluation to score real conversations in production
- Agent Insights to spot patterns and detect drift
- Real-time alerts on cost, latency, errors and quality regressions
- Support for 14+ LLM providers and 12+ frameworks
- MCP server for querying and debugging traces from inside IDE
| - 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 | - Single platform that covers the entire AI agent lifecycle from prompt management through production monitoring, instead of scattered tools
- Built on OpenTelemetry standards for native observability across frameworks you already use
| - 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) | 13 ▼ −1 (down) since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 10 | 1 |
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| Citation Flow (Majestic) | 26 | 23 |
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| Referring domains (Majestic) | 32 | 14 |
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Netra
DidWork