| What it does | AI agent observability, tracing and evaluation platform
| See where your AI coding agent's tokens go, cut the waste without breaking the prompt cache, and get a receipt for every saving
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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
| Freemium
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| Pricing | Not given
| Free for open source (Wrapped, all fixes with undo, receipt, skill, plugin, MCP server). Team: $30 per developer, or 10% of verified savings, whichever is lower (spend by engineer, cost per merged PR, CI gate). Enterprise: contact for self-hosted, SSO, finance exports, procurement-grade reports.
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| Key features | - 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
| - Session log analysis with token pricing breakdown
- Categorized spending attribution by startup context, tool output, sub-agents, and cache rebuilds
- Safe automatic fixes for output trimming and cache countdown
- Undo capability for all changes
- Receipt comparing cost-per-commit before and after with 90% confidence range
- Shareable card with visualization of token usage
- Command output trimming to reduce context bloat
- Cache expiration countdown in status line
- MCP server integration for any agent
- Claude Code plugin with skill and MCP server
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| What makes it different | - 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
| - Reads actual logs your agent already keeps, not a third-party service
- Fixes only trim new content without rewriting cache to preserve prompt optimization
- Open source under Apache 2.0 with no incentive to make you spend more tokens
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 22 | 0 |
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| Referring domains (Majestic) | 1 | 0 |
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