test.ai
test.ai (formerly Appdiff, Inc.) built an AI-powered test-automation platform that used computer vision and machine-learning element classification to make Selenium and Appium tests resilient to UI change. It published first-party Java, Python, Node.js and Ruby SDKs, a gRPC "Classifier" service that labelled UI elements from screenshots, an Appium classifier plugin, and OpenTestData — a free open database of automated test fixture data with its own REST API. The company raised over $30M and was sold; its founder has since moved on to other ventures. As of 2026-08-30 test.ai serves no website of its own: the domain has no HTTPS listener and every HTTP path redirects off-domain. The artifacts profiled here are the contracts and packages the company published while operating, all of which remain publicly retrievable from its own GitHub organization and from the npm, PyPI, RubyGems and Maven Central registries.
test.ai publishes 1 API on the APIs.io network: OpenTestData API. Tagged areas include Company, Testing, Test Automation, Quality Assurance, and Artificial Intelligence.
test.ai’s developer surface includes documentation, getting-started guide, and 11 more developer resources.
Kin Score
APIs 2
Individual APIs this provider publishes, each with its own machine-readable definition.
OpenTestData API
REST API behind opentestdata.org, test.ai's free and open database of automated test fixture data. 13 paths / 16 operations covering user signup and login, e-mail confirmation, ...
test.ai Classifier
gRPC service that classifies UI element screenshots into semantic labels. A single RPC, ClassifyElements, takes a map of element id to PNG bytes plus a label hint, a confidence ...
Pricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Test Ai Rate Limits
RATE LIMITSSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 1
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 1
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Source (apis.yml)
Work with this as data
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