Scale AI
Scale AI is the data engine for AI. The company turns raw data into training data by combining ML-powered pre-labeling with multi-tier human review, and ships an extensive REST API and SDKs for managing labeling, evaluation, and generative-AI data pipelines. The product portfolio spans the Scale Data Engine (foundational labeling and review), the GenAI Data Engine (data for foundation-model training and tuning), the Scale GenAI Platform (deployment and orchestration for generative AI), the Automotive Data Engine (LiDAR, sensor fusion, customer dashboards, Nucleus), and Donovan (Scale's defense / public-sector AI product). The REST API lives at api.scale.com/v1, supports live and sandbox modes, and is wrapped by official Python (scaleapi) and JavaScript (scaleapi) SDKs. The company serves enterprise, insurance, healthcare, and U.S. and global public-sector verticals.
Scale AI publishes 3 APIs on the APIs.io network: Batches API, Projects API, and Tasks API. Tagged areas include Data Engine, Labeling, RLHF, GenAI Platform, and Donovan.
Scale AI’s developer surface includes authentication, developer portal, documentation, API reference, getting-started guide, engineering blog, signup flow, and 11 more developer resources.
Kin Score
APIs 9
Individual APIs this provider publishes, each with its own machine-readable definition.
Scale REST API
The Scale REST API is the unified programmatic surface for Scale's data engine. It is built on REST principles with resource-oriented URLs, form-encoded request bodies, JSON res...
Scale GenAI Data Engine
The GenAI Data Engine is Scale's product surface for generating, curating, and reviewing data used to train and tune generative-AI foundation models, including RLHF, SFT, evalua...
Scale GenAI Platform
The Scale GenAI Platform is the deployment and orchestration product for generative-AI applications, used by enterprise and public-sector customers to deliver agentic and genera...
Scale Automotive Data Engine
Scale's Automotive Data Engine covers autonomy-grade data needs including LiDAR labeling, sensor fusion, multi-stage annotation, the customer dashboard, data hosting, and Nucleu...
Scale Nucleus
Nucleus is Scale's dataset management product for browsing, querying, and curating ML datasets at scale.
Scale Donovan
Donovan is Scale's AI platform for defense and public-sector use cases, delivering decision-support and analytic capabilities to U.S. and allied government customers.
Scale AI Batches API
The Batches API from Scale AI — 4 operation(s) for batches.
Scale AI Projects API
The Projects API from Scale AI — 3 operation(s) for projects.
Scale AI Tasks API
The Tasks API from Scale AI — 5 operation(s) for tasks.
Scroll for all 9
Open Collections 5
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONScale AI REST Batches API
OPEN COLLECTIONScale AI REST Batches Projects API
OPEN COLLECTIONScale AI REST Batches Tasks API
OPEN COLLECTIONScale AI REST API
OPEN COLLECTIONGraphQL 1
GraphQL schemas published by this provider.
Scale AI GraphQL API
Scale AI provides data labeling, RLHF, and AI evaluation services. The API covers task creation for labeling, annotation retrieval, workforce management, evaluation datasets, an...
GRAPHQLPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Scale Ai Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Scale Ai Finops
FINOPSFeatures 11
Notable capabilities this provider offers.
REST API at api.scale.com/v1
Resource-oriented REST API with JSON responses, live and sandbox modes, and versioned v1 endpoints.
Tasks API
Create, retrieve, cancel, and tag individual labeling tasks with unique identifiers and metadata.
Batches API
Create, finalize, prioritize, list, and retrieve status for batches of tasks.
Projects API
Create and manage labeling projects, including taxonomy service management.
Specialized Annotation
Image and video, sensor fusion, LiDAR, and multi-stage annotation task types.
GenAI Data Engine
RLHF, SFT, evaluation, and red-team data for generative AI foundation models.
GenAI Platform
Deployment and orchestration product for enterprise and public-sector generative-AI workflows.
Donovan
Scale's defense and public-sector AI product line.
Nucleus
Dataset management for browsing, querying, and curating ML datasets.
Cloud Storage Integration
Integrates with AWS S3, Azure, and Google Cloud Storage for data ingest and delivery.
Callbacks
Asynchronous task completion callbacks and secure result URLs.
Scroll for all 11
Security Posture 4
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 5
What developers build with this provider.
Foundation Model Training Data
RLHF, SFT, evaluation, and red-team datasets for frontier model labs.
Autonomous Vehicle Data
LiDAR, camera, and sensor-fusion labeling for AV programs.
Enterprise GenAI Deployment
Build and deploy generative-AI applications on the GenAI Platform.
Public Sector Decision Support
Deliver Donovan-based analytic and decision-support workflows to defense and government customers.
Dataset Curation
Browse, query, and curate ML datasets at scale with Nucleus.
Integrations 4
Pre-built integrations with other platforms and tools.
AWS S3, Azure Blob, Google Cloud Storage
Cloud storage ingest and delivery for labeling jobs.
Python SDK (scaleapi)
Official Python client published on PyPI.
JavaScript SDK (scaleapi)
Official Node.js client published on npm.
Sandbox Mode
Test integrations safely against a sandbox environment that mirrors live behavior.
Resources
Get Started 4
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Access & Security 5
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 1
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Source (apis.yml)
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.
MCP server
One button, every client — Claude, Cursor, VS Code and the rest.
https://apis.io/mcp
Tools for providers
9 MCP tools reach this
find_providersBrowse and filter every provider in the catalog.get_provider_artifactsEvery artifact this provider publishes, grouped by type.get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.get_provider_toolsEvery MCP tool they ship, with the operation each wraps.get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.get_provider_ratingPRO — composite, band, trend and facet scores.apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.resolveTurn a domain, URL or GitHub org into the provider it belongs to.find_cohortsEvery scored population of providers in the catalog.
Call it yourself
curl for this page
curl "https://apis.io/api/v1/providers/scale-ai"
curl "https://apis.io/api/v1/providers?limit=25"
curl "https://apis.io/api/v1/providers/scale-ai/operations?limit=25"
curl "https://apis.io/api/v1/providers/scale-ai/evidence"
Discovery needs no key. Ratings and market analysis are Pro.