Sieve is a platform for building and deploying AI-powered automation workflows that can process files, data, and integrate with external services. It provides a visual interface and API for creating serverless AI tasks.
#4 of 151 in Automation · #1 of 2 in File Processing
Checklist Breakdown
Can an agent find and understand this tool without a web search?
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Published OpenAPI/Swagger spec
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Has llms.txt or llms-full.txt
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Has an MCP server (official or well-maintained)
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MCP server listed in a public registry
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API reference docs are publicly accessible
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Docs include runnable code examples
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Has a public changelog or release notes
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Has a public status page
Can an agent create an account and get credentials without human intervention?
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Signup does not require CAPTCHA
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Signup does not require phone verification
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Supports API key auth (not only OAuth)
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API key obtainable without manual approval
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No mandatory billing info to start
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Can sign up without creating an organization
Can an agent operate autonomously without upfront payment or contracts?
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Has a free tier
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Usage-based pricing available
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No minimum contract or commitment
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Pricing page is public (no 'contact sales')
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Free tier sufficient for testing (not just a trial)
How well does the API work for non-human consumers?
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SDK available in 2+ languages
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Structured error responses (JSON with error codes)
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Idempotency support on write endpoints
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Pagination on list endpoints
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Webhook/event support
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Sandbox or test mode available
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Rate limit headers in responses
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Consistent REST resource naming
Does the tool fail gracefully when an agent makes a mistake?
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Meaningful error messages (not just 500)
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429 responses include Retry-After header
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Documented uptime SLA (99.9%+)
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Graceful degradation under rate limits
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Request IDs in responses for debugging
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API versioning supported
Reviewer Notes
Sieve offers an OpenAPI spec and REST API with API key authentication, making basic integration possible. However, there's no MCP server, llms.txt, or programmatic account creation, requiring manual signup. The platform is reasonably documented but lacks agent-specific tooling patterns, and reliability/uptime information is limited. Free tier and sandbox availability are strengths for experimentation.
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