Tool overview
Ashr is listed under Data Analytics AI tools.
What is Ashr?
Ashr runs AI agents against realistic environments and multimodal scenarios, records traces and tool calls, compares expected and actual outcomes, versions prompts, detects regressions, and supports graded evaluation through Python and TypeScript SDKs.
Best for
AI teams running repeatable evaluations across agent releases and environments
Who is it for?
Decision note
Confirm monthly versus annual billing, scenario and observation counting, voice usage, retention, projects, overages, security, deployment support, and enterprise procurement.
Key features
Real-environment multimodal agent scenarios
Synthetic scenario generation
Prompt and tool-call grading
Trace timelines and expected-versus-actual comparison
Prompt versioning and regression detection
Python and TypeScript SDKs
Use cases
Testing customer-service agents
Validating tool-using workflows
Detecting prompt regressions
Evaluating voice and multimodal interactions
Pros
- Public usage-based plan limits
- Detailed traces and failure diagnosis
- Supports continuous release testing
Limitations
Ashr evaluations cannot represent every production user, integration, policy, or failure mode. Teams must design representative datasets, protect test data, review graders, monitor false results, and maintain runtime safeguards.
Pricing details
Billing options
Pricing note
Developer costs $39 per month with 5,000 graded scenarios, 250,000 observations, 1,000 voice minutes, one project, and 14-day retention. Startup costs $500 per month with larger limits and metered overages. Enterprise uses custom terms.
Supported languages
- Python
- TypeScript
Integrations
Python SDK
TypeScript SDK
Claude Code
Cursor
Codex
CI systems
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