Tenyks
Tenyks is a University of Cambridge spin-out (Y Combinator; backed by Speedinvest) building a visual-intelligence platform for computer vision. Its original product is an MLOps monitoring and validation platform that helps ML engineers working with computer-vision data find and fix what is wrong with their models — data-quality analysis, model performance comparison, text-to-image / image-to-image / object-level similarity search, embeddings, tagging and custom metadata across image and video datasets. Tenyks has since extended into a Vision AI / Video AI Agents platform that turns everyday camera feeds into privacy-first operational analytics for brick-and-mortar businesses. The Tenyks API (currently alpha, for Premium/Dashboard users, with a freemium Sandbox) lets teams authenticate with an API key + secret to obtain a Bearer token, then create datasets and models, and upload and ingest annotations and predictions directly from AWS S3, GCS or Azure. A Python SDK and CLI wrap the same surface.
Tenyks publishes 3 APIs on the APIs.io network: Auth API, Data Upload API, and Datasets API. Tagged areas include Company, Computer Vision, Machine Learning, MLOps, and Data Quality.
Tenyks’ developer surface includes documentation, API reference, getting-started guide, engineering blog, pricing, signup flow, authentication, and 20 more developer resources.
Kin Score
APIs 3
Individual APIs this provider publishes, each with its own machine-readable definition.
Tenyks Auth API
Obtain a Bearer access token from an API key and secret.
Tenyks Data Upload API
Upload and ingest annotations, models and predictions from cloud storage.
Tenyks Datasets API
Create and retrieve datasets.
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
tenyks-mcp.yml
MCP SERVERSecurity Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 4
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 3
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Commercial 1
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 1
Properties that don't map to a standard resource type