SuperAnnotate
SuperAnnotate is an AI data annotation platform purpose-built for computer vision and NLP teams that need to build, fine-tune, and iterate machine learning models with high-quality training data. The platform provides a Python SDK and REST API for managing annotation projects, datasets, folders, items, annotation classes, exports, and team workflows programmatically. SuperAnnotate's Orchestrate module enables event-driven automation pipelines with configurable compute hours, while Agent Hub offers MCP server integration for AI agent workflows. The platform integrates natively with AWS, GCP, Azure, Databricks, and Snowflake, supporting enterprise-grade data governance and security requirements.
SuperAnnotate is listed with 1 API on the APIs.io network. Tagged areas include Artificial Intelligence, Annotation, Data Labeling, Computer Vision, and Natural Language Processing.
The SuperAnnotate catalog on APIs.io includes 1 JSON-LD context.
SuperAnnotate’s developer surface includes documentation, engineering blog, pricing, and 12 more developer resources.
Kin Score
Markets this provider is in provisional
The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.
| Market | Position | Depth | Registered MCP server | Declares compatibility |
|---|---|---|---|---|
| Data Marketplaces (data providers on cloud data platforms) | undeclared | - | - | - |
| ONVIF Video Analytics (video surveillance, edge cameras, computer vision) | undeclared | - | - | - |
| Hugging Face Hub Organisations | undeclared | - | - | - |
Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.
APIs 1
Individual APIs this provider publishes, each with its own machine-readable definition.
SuperAnnotate API
REST API and Python SDK for managing annotation projects, datasets, folders, items, annotations, annotation classes, exports, custom metadata, subsets, images, and team operatio...
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
SuperAnnotate MCP Server
Remote MCP server at mcp.superannotate.com over HTTP; 10 tools listed.
MCP SERVERPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Superannotate Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Superannotate Finops
FINOPSSemantic Vocabularies 1
JSON-LD contexts and semantic vocabularies used across these APIs.
Superannotate Context
JSON-LDSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Documentation 1
Reference material describing how the API behaves
Design & Contract 1
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 3
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)
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.