| What it does | Continuous performance testing for your CI that catches regressions before they reach production
| AI agent observability, tracing and evaluation platform
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| Stage | Not given
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| Founded | Not given
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| Based in | FR
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| Pricing model | Freemium
| Freemium
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| Pricing | Not given
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| Key features | - Automatic benchmarking in CI
- Low-noise performance data with variance below 1%
- AI-enhanced differential flamegraphs
- Automated performance fixes with Optimization Agent
- GitHub integration
- CPU, memory, and wall-time profiling
- Bare-metal macro runners for isolated testing
- Support for Rust, Python, Node.js, C++, Go, and Java
- Performance gating and merge blocking
| - Trace viewer showing model calls, tool calls, and retrievals
- Cost tracking per step with latency and token counts
- Root cause detection for failures
- Live streaming and replay of agent runs
- Automatic secret redaction before data transmission
- Semantic search across runs and steps
- Support for multiple frameworks and languages
- Evaluations and datasets for quality assessment
- Slack alerts and release gates
- Collaboration and code review tools
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| What makes it different | - AI automatically identifies bottlenecks and proposes fixes
- Integrates seamlessly into existing CI workflows and benchmark frameworks
- Free for open-source projects and up to 5 users on private repos
- Detects regressions before they reach production
| - One-line setup with automatic detection of model and tool calls
- Identifies first failure point instead of surface errors
- Per-step cost visibility with no monthly surprises
- Automatic secret stripping keeps sensitive data local
- No agent code rewriting required
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 66 ● no change since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 18 | 0 |
| Citation Flow (Majestic) | 37 | 22 |
| Referring domains (Majestic) | 534 | 1 |