Refuel
Refuel is an AI data-labeling and data-enrichment platform that uses large language models to label, clean, structure and enrich enterprise datasets. Refuel Cloud exposes a REST API at cloud-api.refuel.ai covering projects, datasets, tasks and task runs, taxonomies, seedsets and evalsets, confidence calibration, Refuel LLM-2 finetuning, and deployed applications whose realtime label endpoint transforms new rows on demand. The open-source autolabel library lets teams run the same LLM labeling workflows in their own environment against OpenAI, Anthropic, Google, HuggingFace, vLLM or Refuel-hosted models. Refuel.ai was acquired by Together AI in May 2025; the platform continues to operate and its API is still live.
Refuel publishes 19 APIs on the APIs.io network, including Applications API, Access API, Csp Reports API, and 16 more. Tagged areas include Artificial Intelligence, LLM, Data Labeling, Data Enrichment, and Autolabel.
The Refuel catalog on APIs.io includes 1 event-driven AsyncAPI specification.
Refuel’s developer surface includes sandbox, authentication, documentation, API reference, getting-started guide, support, engineering blog, and 32 more developer resources.
Kin Score
APIs 20
Individual APIs this provider publishes, each with its own machine-readable definition.
Refuel Autolabel (Open Source)
Autolabel is the open-source Python library (pip install refuel-autolabel) to label, clean, and enrich text datasets with any LLM (OpenAI, Anthropic, Google, HuggingFace, vLLM, ...
Refuel Applications API
The documented realtime application label surface — the endpoint Refuel's own catalog page publishes as `POST https://cloud-api.refuel.ai/applications/{applicationName}/label`, ...
Refuel Access API
The Access API from Refuel — 4 operation(s) for access.
Refuel Csp Reports API
The Csp Reports API from Refuel — 1 operation(s) for csp reports.
Refuel Datasets API
The Datasets API from Refuel — 13 operation(s) for datasets.
Refuel Finetuned Models API
The Finetuned Models API from Refuel — 1 operation(s) for finetuned models.
Refuel Integrations API
The Integrations API from Refuel — 2 operation(s) for integrations.
Refuel Labs API
The Labs API from Refuel — 2 operation(s) for labs.
Refuel Models API
The Models API from Refuel — 1 operation(s) for models.
Refuel Projects API
The Projects API from Refuel — 6 operation(s) for projects.
Refuel Refuel Cloud API
The Refuel Cloud API API from Refuel — 1 operation(s) for refuel cloud api.
Refuel Schema API
The Schema API from Refuel — 1 operation(s) for schema.
Refuel Tasks API
The Tasks API from Refuel — 28 operation(s) for tasks.
Refuel Team API
The Team API from Refuel — 2 operation(s) for team.
Refuel Teams API
The Teams API from Refuel — 1 operation(s) for teams.
Refuel Usage API
The Usage API from Refuel — 1 operation(s) for usage.
Refuel User API
The User API from Refuel — 1 operation(s) for user.
Refuel Users API
The Users API from Refuel — 3 operation(s) for users.
Refuel Webhook API
The Webhook API from Refuel — 1 operation(s) for webhook.
Refuel Webhooks API
The Webhooks API from Refuel — 1 operation(s) for webhooks.
Scroll for all 20
Open Collections 3
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONRefuel Cloud Applications API
OPEN COLLECTIONRefuel Cloud API
OPEN COLLECTIONMCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
Refuel.ai
Refuel serves a live, anonymous, remote MCP endpoint at https://docs.refuel.ai/mcp. It is a DOCUMENTATION server, not a Refuel Cloud API server: the three tools search and read ...
MCP SERVERPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Refuel Ai Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Refuel Ai Finops
FINOPSEvent Specifications 1
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Refuel Ai Events
ASYNCAPISecurity Posture 4
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 5
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 5
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 6
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 4
Pricing, plans, and the legal terms of use
Company 4
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.