# Refuel

**Canonical:** https://apis.io/providers/refuel/  
**Website:** https://docs.refuel.ai/  
**APIs profiled:** 1

Refuel is a data labeling and enrichment platform that uses large language models to label, clean, structure, and enrich text datasets at scale. Its Refuel Cloud service lets teams define labeling tasks, connect datasets from cloud storage and data warehouses (Amazon S3, Google Cloud Storage, Snowflake, Databricks), finetune models, chain tasks, evaluate LLM outputs, and deploy applications that transform new data in realtime or in batch. Refuel also publishes the open-source autolabel Python library and first-party Python and JavaScript SDKs for programmatic access, authenticated with API keys. Refuel is joining Together AI.

## Kin Score — 26.3 / 100 (thin)

Scored 2026-08-19 under rubric 0.12.0. Trend: flat (-0.6 from 26.9).

| Facet | Score |
|---|---|
| Discoverability | 75.9 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 64.3 |
| Commercial Clarity | 27.6 |
| Access Clarity | 27.6 |

## Agent readiness — 8.5 (agent-aware)

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

## Access

Self-serve signup — onboarding: self-serve, pricing: unknown, trial: no (confidence: medium).

## APIs (1)

- **Refuel Cloud API** — Programmatic access to the Refuel Cloud platform for managing projects, datasets, labeling tasks, task runs, finetuned models, and deployed applications. Accessed through the fi...

## Security (2)

- **Refuel Authentication** — apiKey · 1 scheme
- **Refuel Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Data Labeling, Machine Learning, LLM, Data Enrichment, Artificial Intelligence, Data Transformation, MLOps, SDK

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