# Ray

**Canonical:** https://apis.io/providers/ray/  
**Website:** https://www.ray.io  
**APIs profiled:** 5

Ray is an open-source unified compute framework, stewarded by Anyscale, that scales Python and AI workloads from a laptop to a cluster. It consists of Ray Core (a distributed runtime) and a set of AI libraries (Ray Train, Ray Data, Ray Tune, Ray Serve, RLlib) for training, batch inference, hyperparameter search, and model serving. Ray clusters expose a Dashboard and Jobs REST API on the head node (default port 8265) for submitting jobs, inspecting actors and tasks, and serving deployed applications via Ray Serve HTTP endpoints.

## Kin Score — 21.6 / 100 (emerging)

Scored 2026-08-25 under rubric 0.14.0. Trend: flat (+0.0 from 21.6).

| Facet | Score |
|---|---|
| Discoverability | 74.1 |
| Contract Quality | 42.2 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 16.7 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## Agent readiness — 14.7 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | derived |
| 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 |

## Access

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

## APIs (5)

- **Ray Jobs REST API** — REST API on the Ray head node for submitting, listing, inspecting, and stopping Ray jobs, plus streaming logs. Default base URL is http://<head-node>:8265/api/jobs/. Open-source...
- **Ray Dashboard API** — Internal REST API powering the Ray Dashboard, exposing endpoints for nodes, actors, tasks, placement groups, runtime environments, and cluster events. Same base URL as the Jobs ...
- **Ray Serve HTTP API** — HTTP interface for invoking models and applications deployed via Ray Serve. Each deployed application is exposed as an HTTP endpoint on the Serve HTTP proxy (default port 8000);...
- **Ray Jobs API** — The Jobs API from Ray — 4 operation(s) for jobs.
- **Ray Version API** — The Version API from Ray — 1 operation(s) for version.

## Agentic access (1)

- **Ray Agentic Access** — 6 operations · 2 acting · 1 human-in-the-loop

## Security (1)

- **Ray Domain Security** — TLSv1.3 · DMARC

## Tags

Distributed Computing, Machine-Learning, AI Infrastructure, Python, Model Serving, Open-Source, Compute

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