Hatchet

Fair

Agent Native Score

Free TierAPI Key AuthOpenAPI Spec

Hatchet is a distributed task queue and workflow orchestration platform that enables developers to build reliable, scalable background jobs and long-running workflows with visibility and control. It provides SDKs for Python and TypeScript with built-in retry logic, error handling, and monitoring.

Categories: Workflow Orchestration · Task Queue · Infrastructure

#3 of 4 in Workflow Orchestration · #1 of 3 in Task Queue · #18 of 49 in Infrastructure

Checklist Breakdown

13 of 33 checks passed. 14 unscored.

Discovery 63%

Can an agent find and understand this tool without a web search?

✓ Published OpenAPI/Swagger spec

✗ Has llms.txt or llms-full.txt

✗ Has an MCP server (official or well-maintained)

✗ MCP server listed in a public registry

✓ API reference docs are publicly accessible

✓ Docs include runnable code examples

✓ Has a public changelog or release notes

✓ Has a public status page

Auth & Onboarding 50%

Can an agent create an account and get credentials without human intervention?

✗ Signup does not require CAPTCHA

✗ Signup does not require phone verification

✓ Supports API key auth (not only OAuth)

✗ API key obtainable without manual approval

✓ No mandatory billing info to start

✓ Can sign up without creating an organization

Pricing 100%

Can an agent operate autonomously without upfront payment or contracts?

✓ Has a free tier

✓ Usage-based pricing available

✓ No minimum contract or commitment

✓ Pricing page is public (no 'contact sales')

✓ Free tier sufficient for testing (not just a trial)

Agent Tooling Not yet scored

How well does the API work for non-human consumers?

— SDK available in 2+ languages

— Structured error responses (JSON with error codes)

— Idempotency support on write endpoints

— Pagination on list endpoints

— Webhook/event support

— Sandbox or test mode available

— Rate limit headers in responses

— Consistent REST resource naming

Reliability Not yet scored

Does the tool fail gracefully when an agent makes a mistake?

— Meaningful error messages (not just 500)

— 429 responses include Retry-After header

— Documented uptime SLA (99.9%+)

— Graceful degradation under rate limits

— Request IDs in responses for debugging

— API versioning supported

Reviewer Notes

Hatchet has solid documentation and an OpenAPI spec that make it discoverable, plus TypeScript/Python SDKs with good abstractions for workflow definition. However, it lacks an MCP server and llms.txt file, limiting agent native integration. Account creation requires human interaction (no programmatic signup via API). The free tier and sandbox environment are helpful, but the platform is primarily designed for human developers building workflows rather than agents autonomously creating and managing tasks. SDKs are well-structured but require agents to understand workflow concepts (steps, retries, triggers) which adds complexity for agent orchestration use cases.

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