{"id":"4004ce6b-eff7-47f3-b4f3-6c05da611cd2","shortId":"v785m2","kind":"x402","title":"AI agent reference for system prompts and function-call conventions, pay-per-query via x402 on Base Sepolia.","tagline":"AI agent reference for system prompts and function-call conventions, pay-per-query via x402 on Base Sepolia.","description":"This x402 endpoint, hosted by Questflow on their development API, provides a conversational AI agent that serves as a comprehensive reference for the structure of system prompts and the conventions for function calls used by AI agents. Developers can send a text message and receive a structured response detailing agent behavior patterns, prompt architecture, and function-call conventions.\n\nThe endpoint accepts a POST request with a JSON body containing an `input` string field (your message to the agent) and returns a JSON response with a `response` string field. Payment is handled via the x402 protocol on the Base Sepolia testnet using USDC (asset 0x036CbD53842c5426634e7929541eC2318f3dCF7e), with a maximum cost of 500,000 units (0.50 USDC) per request and a timeout of up to 1200 seconds.\n\nQuestflow is a platform focused on AI agent economies — their main product lets users create autonomous \"AI Clones\" that scan and trade across onchain markets. This particular endpoint appears to be one of their swarm agents exposed via x402 for programmatic, pay-per-use access. Documentation beyond the x402 challenge schema is not available; there is no OpenAPI spec, no dedicated docs page, and the crawled site focuses on the consumer-facing Clone product rather than this specific API.","tags":[],"capabilities":["ai-agent-chat","system-prompt-reference","function-call-conventions","x402-payment","base-sepolia-usdc","pay-per-query","conversational-ai"],"categories":["llm","agent"],"synonyms":["AI agent prompt guide","system prompt reference","function calling conventions","agent behavior API","Questflow swarm agent","AI prompt structure","agent prompt conventions"],"warnings":["No OpenAPI spec or dedicated API documentation available","Runs on Base Sepolia testnet — not a production/mainnet deployment","The example response is inferred from the endpoint description, not from an actual API call","The endpoint URL contains 'api-dev' suggesting a development environment that may change or be deprecated","Agent description is generic; actual response quality and scope are unverified"],"endpointUrl":"https://api-dev.intra-tls2.dctx.link/x402/swarm/qrn:swarm:68eccf1bb80b349148efa165","protocol":"x402","transport":"http","auth":{"type":"x402","details":[{"asset":"0x036CbD53842c5426634e7929541eC2318f3dCF7e","extra":{"name":"USDC","version":"2"},"payTo":"0x4f9df3535ef044C468E2d3599Cd9937EE1869855","scheme":"exact","network":"base-sepolia","mimeType":"application/json","resource":"https://api-dev.intra-tls2.dctx.link/x402/swarm/qrn:swarm:68eccf1bb80b349148efa165","description":"Comprehensive reference detailing the structure of system prompts and the conventions for function calls used by AI agents, aiding developers in understanding and implementing consistent agent behavior. | Powered by Questflow","outputSchema":{"input":{"type":"http","method":"POST","bodyFields":{"input":{"type":"string","required":true,"description":"Your message to the agent"}},"discoverable":true},"output":{"response":{"type":"string","required":true,"description":"Response from the agent"}}},"maxAmountRequired":"500000","maxTimeoutSeconds":1200}]},"qualityScore":"0.450","qualityRationale":"The endpoint is live (402 challenge confirmed) with a clear outputSchema describing input/output fields, but there is no OpenAPI spec, no dedicated documentation, and the example response is inferred from the description. The endpoint runs on a testnet (Base Sepolia), suggesting it is a development/staging 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