# Comet

**Canonical:** https://apis.io/providers/comet-ml/  
**Website:** https://www.comet.com/  
**APIs profiled:** 2

Comet is an MLOps and GenAI observability platform. It exposes a REST API (read, write, and Model Production Monitoring endpoints) plus a Python SDK. Opik is the GenAI observability product line; MLOps is the classical experiment-tracking line.

## Kin Score — 20.1 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 20.1).

| Facet | Score |
|---|---|
| Discoverability | 68.5 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 23.7 |
| Developer Ergonomics | 19.0 |
| Commercial Clarity | 31.6 |
| Access Clarity | 31.6 |

## Agent readiness — 11.4 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | documented |
| Event Surface Described | no |
| Agent Skills | yes |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## APIs (2)

- **Comet REST API** — The Comet REST API exposes read endpoints (workspace, project, experiment data), write endpoints (data submission), and Model Production Monitoring (MPM) endpoints. Authenticati...
- **Opik (GenAI Observability)** — Opik is Comet's open-source GenAI observability product. It provides spans-based tracing, evaluations, prompt management, and dataset features over an HTTP API and Python SDK. S...

## MCP servers (1)

- **MCP Server**

## Security (2)

- **Comet Ml Domain Security** — TLSv1.3 · HSTS · DMARC
- **Comet Ml Trust Center** — SOC 2, ISO 27001

## Plans (1)

- **Comet Ml Plans Pricing**

## Tags

ML, MLOps, GenAI, Experiment Tracking, Model Monitoring

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