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.
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles Scale AI the way a machine reads it — 39 machine-readable artifacts across 9 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Scale AI scores 46.8/100 (developing), with a separate agent-readiness read of 48/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Scale AI
Each block below is one kind of artifact we hold for Scale AI. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 9
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
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 within the panel for all 9 ·
Open Collections 1
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Scale AI REST API
OPEN COLLECTIONGraphQL 1
Where a provider ships GraphQL, the schema is the contract. We profile it alongside the REST surface so the whole interface is legible in one place.
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
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Scale Ai Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Scale Ai Finops
FINOPSFeatures 11
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
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 within the panel for all 11 ·
Security Posture 4
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 5
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
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 tell you where this provider already fits in a stack.
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
Every other property we hold for Scale AI — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
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
← All providers · Data indexed from github.com/api-evangelist/scale-ai · machine-readable index on apis.io