| What it does | Platform to evaluate, trace, monitor and security test AI agents
| Convert, sanitize, and index documents locally before anything reaches an LLM
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| US
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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
| Personal edition: Free. Business edition: $49.99 with 15-day free trial, automatic updates, available in Microsoft Store.
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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
| - Scrubs names, contacts, client identities, credentials, and keys
- Converts large files to clean Markdown and flat CSV format
- Full-text indexing for exact terms, tags and standards references
- Semantic index that finds passages by meaning
- Automatic retrieval tools for AI agents
- Citation of source documents
- Local OCR processing
- Reversible redaction mode for local un-redaction
- No cloud uploads or accounts 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
| - Everything runs locally on your computer with no cloud uploads or data transmission
- Reduces file size dramatically while preserving content
- Purpose-built retrieval tools reduce AI context window waste
- Dual indexing with both full-text and semantic search
- Sanitization removes sensitive data before AI sees any content
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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 | 2 |
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| Citation Flow (Majestic) | 26 | 23 |
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| Referring domains (Majestic) | 32 | 34 |
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Netra