# Anyscale

**Canonical:** https://apis.io/providers/anyscale/  
**Website:** https://www.anyscale.com/  
**APIs profiled:** 10

Anyscale provides a managed Ray platform for distributed Python, ML training, and large-scale inference. Built by the creators of Ray, the Anyscale Platform API and CLI expose programmatic control over workspaces, jobs, services, clusters, compute configurations, container images, and clouds (Hosted and Bring-Your-Own-Cloud).

## Kin Score — 27.3 / 100 (thin)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 27.3).

| Facet | Score |
|---|---|
| Discoverability | 81.5 |
| Contract Quality | 38.9 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 10.5 |
| Developer Ergonomics | 16.7 |
| Commercial Clarity | 23.7 |
| Access Clarity | 23.7 |

## Agent readiness — 22.6 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| 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

Paid — onboarding: unknown, pricing: paid, trial: no (confidence: medium).

## APIs (10)

- **Anyscale Workspaces API** — Manages Anyscale Workspaces - cloud-hosted, GPU-backed development environments preconfigured with Ray for interactive development and debugging.
- **Anyscale Jobs API** — Submits, monitors, and manages Ray Jobs - one-off or scheduled batch runs of Python applications on managed Ray clusters.
- **Anyscale Services API** — Deploys and manages production Ray Serve applications as long-running, autoscaling, multi-version services with traffic-shifted rollouts and HTTP/gRPC ingress.
- **Anyscale Clusters API** — Provisions and manages Ray clusters - autoscaling fleets of CPU / GPU nodes underlying Workspaces, Jobs, and Services.
- **Anyscale Compute Configs API** — Defines reusable compute templates (head node type, worker types, autoscaling, AWS/GCP region) for clusters, workspaces, jobs, and services.
- **Anyscale Container Images API** — Builds, tags, and manages container images that bundle Python, system, and Ray dependencies for reproducible runtime environments.
- **Anyscale Clouds API** — Manages Hosted and Bring-Your-Own-Cloud (BYOC) cloud connections to AWS and GCP accounts where Anyscale provisions Ray clusters.
- **Anyscale Projects API** — Groups workspaces, jobs, services, and resources into projects with shared access controls, dashboards, and quotas.
- **Anyscale Organizations API** — Manages organizations, users, roles, IAM, and billing relationships at the tenancy level.
- **Anyscale Logs and Monitoring API** — Retrieves cluster, job, and service logs, metrics, and Ray dashboard data for observability and debugging.

## Security (2)

- **Anyscale Domain Security** — TLSv1.3 · HSTS · DMARC
- **Anyscale Trust Center** — trust center published

## Plans (1)

- **Anyscale Plans Pricing**

## Tags

Artificial Intelligence, Distributed Computing, Ray, ML Platform, Inference, GPU

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