Ashr
Ashr (Ashr Labs) is a testing and evaluation platform for AI agents. It lets teams test agents in real environments, generate realistic user-journey datasets, run graded evaluations across text, voice, image, and file modalities, catch regressions, and monitor agents in production. Ashr integrates as a Python or TypeScript SDK (pip install ashr-labs) into an existing codebase, exposing an AshrLabsClient plus EvalRunner and RunBuilder to fetch a dataset, run it against your agent, submit results for server-side grading, poll graded metrics, and trace production runs. The hosted Ashr Labs console at lab.ashr.io provides datasets, test timelines, prompt versioning, and analytics. Founded by Shreyas Kaps and Rohan Kulkarni; Y Combinator Winter 2026; based in San Francisco.
Ashr is profiled on the APIs.io network. Tagged areas include Company, AI Agents, Agent Testing, Evaluation, and Observability.
Ashr’s developer surface includes documentation, getting-started guide, engineering blog, pricing, support, authentication, and 8 more developer resources.
Kin Score
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 2
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
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API