| What it does | Platform to evaluate, trace, monitor and security test AI agents
| Test LLMs on your own tasks before you switch models
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
| Paid
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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
| Standard: $99 one-time for 2 machines, including 1 year of updates. Pro coming soon.
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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
| - Benchmark any OpenRouter model on your own prompts, CSVs or Hugging Face datasets
- Rubric-based scoring by AI judge, by hand, or both
- Cost per answered task with retries and caching
- Time to first token and output tokens per second per call
- Shareable reports in HTML, CSV and JSON formats
- Compare up to three past benchmarks side by side
- Hard spending cap per run
- Fully self-hosted on your machine
- No SDK or code changes required
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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
| - Tests your own tasks with real data instead of generic benchmarks
- Comes before integration with no SDK or code changes needed
- Reports actual cost per answered task including retries and caching
- Entirely self-hosted with data never leaving your machine
- One shareable report with every answer and judge reasoning
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 13 ▼ −1 (down) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 10 | 0 |
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| Citation Flow (Majestic) | 26 | 16 |
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| Referring domains (Majestic) | 32 | 3 |
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Netra
orbench