| Key features | - Search people by title, function, seniority, location, company size, tech and industry
- Search and enrich companies by domain, headcount, industry, tech stack and hiring signals
- Scrape careers pages and company homepages for open roles, products and pricing
- Match reasons and freshness dates on every record
- Works with Claude, ChatGPT, Cursor and any MCP client
- REST API with TypeScript and Python SDKs
- Field-level checked_at and verified_at dates
- Source and data-rights metadata on every field
- Free SKILL.md playbooks for GTM workflows
| - Capture signals from code, requirements, and production traces
- Build and maintain EvalsWiki as versioned behavioral knowledge
- Find missing eval coverage and unclear expectations
- Generate complete evals with scenarios, environments, and evaluators
- Optimize harness across prompts, tools, workflows, and code
- Multi-objective optimization for quality, cost, latency, and KPIs
- Model selection, migration, and routing with evaluation
- Regression-controlled improvement with evaluation evidence
- Versioned storage in repository with pull requests
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| What makes it different | - Flat monthly pricing with no per-record charges or credits
- Fair-use limits visible in every API response, not hidden behind a dashboard
- Records count only when data is returned, empty searches use no records
- First useful result in under five minutes, no lengthy onboarding
- Opt-out honored and suppression data managed by the company
| - Turns failures into replayable learning environments
- Prevents regressions by keeping previous evals in the loop
- Integrates with existing observability stacks and traces
- Preserves business intelligence versioned in repository
- Adapts harness to model changes without redefining use cases
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