Runcrate
Runcrate provides GPU-powered inference and compute platforms for AI agents. It offers OpenAI‑compatible APIs for large language models, dedicated GPU instances, storage volumes, and tools for training, fine‑tuning, and retrieval‑augmented generation. Customers can provision compute on demand, monitor usage, and integrate with popular frameworks via a unified API, enabling scalable, high‑performance AI workloads.
Runcrate publishes 2 API contracts indexed on the APIs.io network, including API API, and 1 more. Tagged areas include Artificial Intelligence, GPU, Inference, Compute, and Platform.
The Runcrate catalog on APIs.io includes 1 event-driven AsyncAPI specification, 1 JSON-LD context, and 1 Spectral governance ruleset.
Runcrate’s developer surface includes authentication, documentation, getting-started guide, support, pricing, signup flow, and 20 more developer resources.
Kin Score
APIs 2
Individual APIs this provider publishes, each with its own machine-readable definition.
Runcrate API
Runcrate provides OpenAI‑compatible inference and GPU infrastructure APIs.
Runcrate API API
Runcrate exposes two API surfaces. The inference API at `https://api.runcrate.ai/v1` is OpenAI-compatible: it accepts the standard OpenAI SDK with the base URL changed. The infr...
Event Specifications 1
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Runcrate Webhooks
ASYNCAPISemantic Vocabularies 1
JSON-LD contexts and semantic vocabularies used across these APIs.
Runcrate Context
JSON-LDSpectral Rules 1
Spectral governance rulesets for linting and validating these APIs.
Runcrate API Rules
SPECTRALJSON Schema 6
Standalone JSON Schema definitions for this provider's data models.
ChatCompletionRequest
JSON SCHEMAInstanceCreateRequest
JSON SCHEMAInstance
JSON SCHEMAInstanceType
JSON SCHEMAStorageVolume
JSON SCHEMATranscriptionResponse
JSON SCHEMASecurity Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 3
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 7
Pagination, idempotency, versioning, errors, and events
Scroll for all 7
Access & Security 6
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
Other 2
Properties that don't map to a standard resource type
Source (apis.yml)
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.