Refuel website screenshot

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 2 APIs on the APIs.io network: Cloud API and Applications API. 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 31 more developer resources.

64.6/100 strong ▬ flat Agent 42/100 agent ready Full breakdown ↓
scored 2026-08-25 · rubric v0.14.0
AccessEnterprise
3 APIs 1 MCP Servers
Artificial IntelligenceLLMData LabelingData EnrichmentAutolabelMachine-LearningData QualityTraining DataFine-TuningData TransformationEntity ResolutionContent Moderation

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-25 · rubric v0.14.0
Composite quality — 64.6/100 · strong
Contract Quality 16.6 / 25
Developer Ergonomics 13.9 / 20
Access Clarity 17.9 / 20
Operational Transparency 4.4 / 13
Contract Governance 3.6 / 12
Discoverability 8.2 / 10
Agent readiness — 42/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 10 / 10
Documented Reversibility 0 / 6
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 7 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 6 / 6
Agent Skills 5 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 8 / 8
Dry-Run / Simulate Mode 0 / 4
Delegated User Identity 0 / 6
Protected Resource Metadata 0 / 5
Registration Without a Human 0 / 6
Agentic Commerce Surface 0 / 5
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/refuel-ai: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 3

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 Cloud API

The full Refuel Cloud REST API — 108 operations across 77 paths, harvested verbatim from https://cloud-api.refuel.ai/openapi.json on 2026-08-14. Covers projects, datasets and it...

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`, ...

Open Collections 3

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

API Collection

OPEN COLLECTION

Refuel Cloud API

OPEN COLLECTION

MCP 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 SERVER

Pricing Plans 1

Published pricing tiers and plan structures.

Rate Limits 1

Documented rate limits and quota policies.

Refuel Ai Rate Limits

2 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Event Specifications 1

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Security Posture 4

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Refuel Ai Authentication

http · 2 schemes

SECURITY

Refuel Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Refuel Ai Vulnerability Disclosure

disclosure policy published

SECURITY

Refuel Ai Trust Center

SOC 2, GDPR

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Refuel Ai Agentic Access

109 operations · 64 acting

109 operations · 64 acting

AGENTIC

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 1

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: refuel-ai
url: https://raw.githubusercontent.com/api-evangelist/refuel-ai/refs/heads/main/apis.yml
name: Refuel
kind: company
description: 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.
accessModel:
  pricing: enterprise
  onboarding: sales
  trial: false
  try_now: false
  public: false
  label: Enterprise
  confidence: high
  source:
  - https://www.refuel.ai/get-started
  - plans/refuel-ai-plans-pricing.yml
  generated: '2026-08-14'
  method: searched
  note: Corrected from a prior derived read of "freemium / self-serve". https://www.refuel.ai/get-started is a sales lead
    form (First Name, Work Email, Company, "Tell us about your use case", "Thanks! We'll be in touch shortly"), not a signup.
    There is no public pricing page (/pricing returns 404) and no self-serve trial. The open-source autolabel library is the
    only freely usable Refuel artifact.
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/refuel-ai.png
tags:
- Artificial Intelligence
- LLM
- Data Labeling
- Data Enrichment
- Autolabel
- Machine-Learning
- Data Quality
- Training Data
- Fine-Tuning
- Data Transformation
- Entity Resolution
- Content Moderation
tags_raw:
- AI
- LLM
- Data Labeling
- Data Enrichment
- Autolabel
- Machine Learning
- Data Quality
- Training Data
- Fine Tuning
- Data Transformation
- Entity Resolution
- Content Moderation
created: '2026-06-21'
modified: '2026-08-14'
specificationVersion: '0.23'
apis:
- aid: refuel-ai:refuel-autolabel-oss
  name: Refuel Autolabel (Open Source)
  tags:
  - Open-Source
  - Autolabel
  - Python
  tags_raw:
  - Open Source
  - Autolabel
  - Python
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://github.com/refuel-ai/autolabel
  baseURL: https://github.com/refuel-ai/autolabel
  properties:
  - url: https://github.com/refuel-ai/autolabel
    type: GitHub
  - url: https://docs.refuel.ai
    type: Documentation
  - url: https://pypi.org/project/refuel-autolabel/
    type: PyPI
  description: 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-hosted). It is a local library and SDK, not
    the hosted Refuel Cloud REST API; it covers classification, NER, entity matching, and question answering with few-shot
    and chain-of-thought prompting. Last PyPI release 0.0.16 on 2023-10-16; repository last pushed 2025-03-05.
- aid: refuel-ai:refuel-cloud-api
  name: Refuel Cloud API
  description: 'The full Refuel Cloud REST API — 108 operations across 77 paths, harvested verbatim from https://cloud-api.refuel.ai/openapi.json
    on 2026-08-14. Covers projects, datasets and items, tasks, task runs, seedsets and evalsets, taxonomies, confidence calibration,
    base and finetuned models, deployed applications and their realtime label endpoint, users, teams, usage and cloud/warehouse
    integrations. Authentication is an API key sent as an HTTP Bearer token. The spec is FastAPI-generated: it declares no
    tags and returns a generic ResponseModel envelope on every 200, so it names the routes but not the entity shapes.'
  humanURL: https://docs.refuel.ai/overview
  baseURL: https://cloud-api.refuel.ai
  tags:
  - Project
  - Datasets
  - Task
  - Application
  - Models
  - Team
  tags_raw:
  - Projects
  - Datasets
  - Tasks
  - Applications
  - Models
  - Teams
  properties:
  - type: OpenAPI
    url: openapi/refuel-ai-cloud-api-openapi.yml
  - type: OpenAPIOriginal
    url: openapi/_original/refuel-ai-cloud-api-openapi.json
  - type: Overlay
    url: overlays/refuel-ai-cloud-api-overlay.yaml
  - type: APIReference
    url: https://cloud-api.refuel.ai/docs
  - type: Documentation
    url: https://docs.refuel.ai
  - type: GettingStarted
    url: https://docs.refuel.ai/quickstart
  - type: DataModel
    url: data-model/refuel-ai-data-model.yml
  - type: ErrorCatalog
    url: errors/refuel-ai-problem-types.yml
  - type: Conventions
    url: conventions/refuel-ai-conventions.yml
- aid: refuel-ai:refuel-ai-applications-api
  name: Refuel Applications API
  description: The documented realtime application label surface — the endpoint Refuel's own catalog page publishes as `POST
    https://cloud-api.refuel.ai/applications/{applicationName}/label`, with the concrete request shape and the published 300
    req/min, 100 concurrent rate limit. This entry predates the harvest of the full Refuel Cloud API and describes the same
    product from the documentation rather than the machine-readable contract; the operation it covers appears in the Cloud
    API spec as online_label_applications__application_id__label_post.
  humanURL: https://docs.refuel.ai/catalog/introduction
  baseURL: https://cloud-api.refuel.ai
  tags:
  - Application
  tags_raw:
  - Applications
  properties:
  - type: OpenAPI
    url: openapi/refuel-ai-applications-api-openapi.yml
  - type: Documentation
    url: https://docs.refuel.ai/catalog/introduction
  - type: APIReference
    url: https://cloud-api.refuel.ai/docs
  - type: PostmanCollection
    url: collections/refuel-ai.postman_collection.json
  - type: OpenCollection
    url: collections/refuel-ai.opencollection.json
  - type: GitHub
    url: https://github.com/refuel-ai
  - type: Documentation
    url: https://docs.refuel.ai/quickstart
common:
- type: AgenticAccess
  url: agentic-access/refuel-ai-agentic-access.yml
- type: MCPServer
  url: mcp/refuel-ai-mcp.yml
- type: ToolCrosswalk
  url: mcp/refuel-ai-tool-crosswalk.yml
- type: AgentCard
  url: a2a/refuel-ai-a2a.yml
- type: AgentSkill
  url: skills/_index.yml
- type: LLMsTxt
  url: llms/refuel-ai-llms.txt
- type: WellKnown
  url: well-known/refuel-ai-well-known.yml
- type: Packages
  url: packages/refuel-ai-packages.yml
- type: SDKs
  url: packages/refuel-ai-packages.yml
- type: Conventions
  url: conventions/refuel-ai-conventions.yml
- type: DataModel
  url: data-model/refuel-ai-data-model.yml
- type: ErrorCatalog
  url: errors/refuel-ai-problem-types.yml
- type: Lifecycle
  url: lifecycle/refuel-ai-lifecycle.yml
- type: Conformance
  url: conformance/refuel-ai-conformance.yml
- type: Compliance
  url: https://www.refuel.ai/security
- type: Sandbox
  url: sandbox/refuel-ai-sandbox.yml
- type: TrustCenter
  url: security/refuel-ai-trust-center.yml
- type: VulnerabilityDisclosure
  url: security/refuel-ai-vulnerability-disclosure.yml
- type: Security
  url: https://www.refuel.ai/security
- type: DomainSecurity
  url: security/refuel-ai-domain-security.yml
- type: Authentication
  url: authentication/refuel-ai-authentication.yml
- type: GitHubOrganization
  url: https://github.com/refuel-ai
- type: LinkedIn
  url: https://www.linkedin.com/company/refuel-ai
- type: Twitter
  url: https://twitter.com/refuelai
- type: Website
  url: https://www.refuel.ai
- type: DeveloperPortal
  url: https://docs.refuel.ai
- type: Documentation
  url: https://docs.refuel.ai
- type: APIReference
  url: https://cloud-api.refuel.ai/docs
- type: GettingStarted
  url: https://docs.refuel.ai/quickstart
- type: Support
  url: https://discord.gg/uEdr8nrMGm
- type: Blog
  url: https://www.refuel.ai/blog
- type: SignUp
  url: https://www.refuel.ai/get-started
- type: Login
  url: https://app.refuel.ai
- type: TermsOfService
  url: https://www.refuel.ai/terms-of-service
- type: PrivacyPolicy
  url: https://www.refuel.ai/privacy-policy
- type: Plans
  url: plans/refuel-ai-plans-pricing.yml
- type: RateLimits
  url: rate-limits/refuel-ai-rate-limits.yml
- type: FinOps
  url: finops/refuel-ai-finops.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
x-enrichment:
  date: '2026-08-14'
  status: enriched
  artifacts_added: 23
  pass: local-v1
x-not-published:
  note: Recorded so a later round does not re-probe. Refuel publishes none of the following, and NO pointer is emitted for
    any of them.
  pricing:
    probe: https://www.refuel.ai/pricing
    status: 404
    detail: No public pricing page. Refuel Cloud is quoted by sales.
  status_page:
    probes:
    - url: https://status.refuel.ai
      status: NXDOMAIN
    - url: https://refuel.statuspage.io
      status: 200
      detail: Redirects to atlassian.com/software/statuspage — the subdomain is unclaimed, not a Refuel page.
  changelog:
    probes:
    - url: https://www.refuel.ai/changelog
      status: 404
    - url: https://docs.refuel.ai/changelog
      status: 404
  roadmap:
    probe: https://www.refuel.ai/roadmap
    status: 404
  security_txt:
    detail: No /.well-known/security.txt on any Refuel host; see well-known/refuel-ai-well-known.yml.
  idempotency:
    detail: Zero occurrences of "idempoten" in the 106KB OpenAPI and no mention in the docs, so no Idempotency pointer is
      emitted. See conventions/refuel-ai-conventions.yml.
  asyncapi_webhooks:
    detail: No AsyncAPI and no outbound webhooks. The only event machinery is two inbound webhook receivers; see asyncapi/refuel-ai-events.yml.
      No AsyncAPI or Webhooks pointer is emitted.
  cli:
    detail: No first-party CLI found in the docs, the GitHub org or any package registry.
  components:
    detail: No embeddable UI components or element libraries published.
  graphql:
    detail: No GraphQL endpoint found on any Refuel host.
  grpc:
    detail: No .proto definitions in the GitHub org, on buf.build, or in the docs.
  oauth_scopes:
    detail: Auth is a single HTTP Bearer API key with no scope surface, so no scopes/ artifact is written. See authentication/refuel-ai-authentication.yml.

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