# Tracea

**Canonical:** https://apis.io/providers/tracea/  
**Website:** https://tracea.dev/  
**APIs profiled:** 0

Tracea provides an open-source, on‑premise observability platform for AI agents. It captures every LLM call, tool execution, error, and lifecycle event without requiring SDK wrappers. Users can deploy the full stack via Docker, view real‑time dashboards, set configurable detection rules, and integrate with Slack, webhooks, or custom alerts. The platform emphasizes data ownership, zero vendor lock‑in, and supports integrations with major AI frameworks like Claude, Gemini, Kimi, OpenCode, and Python SDKs. Tracea aims to help teams debug, monitor, and improve autonomous agents by turning session logs into searchable knowledge.

## Kin Score — 5.6 / 100 (minimal)

Scored 2026-10-23 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 44.6 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 9.5 |
| Access Clarity | 0.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 5.5 (matched via fallback).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |

## Security (1)

- **Tracea Domain Security** — TLSv1.3 · HSTS · DNSSEC

## Tags

Artificial Intelligence, Observability, Open Source, On-Premises, Debugging

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/tracea/). Scores are computed from the provider's own public artifacts under a published rubric.
