{"uid":"cap_71hfyQ4XkSpKjX7EFOm-b","slug":"swarm-dag-planner-0083f831","name":"Swarm DAG Planner","description":"Machine-payable protocol for autonomous AI agent commerce. Monetized tools secured by x402 micropayments on Base Mainnet USDC.","url":"https://swarm-protocol.onrender.com/tools/swarm_dag_planner?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","properties":{"properties":{"type":"string"}}},"responseSchema":{"type":"json","example":{"data":{},"status":"success","service":"swarm_dag_planner"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.2","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"registry","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.2/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.2","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.2","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_NJCXOb1Zo_SWyFcKdTSZ9","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.2","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Plans directed acyclic graph (DAG) execution strategies for multi-agent AI swarms, enabling coordinated autonomous task decomposition and scheduling.","exampleAgentPrompt":"Plan a DAG execution strategy for my AI swarm to handle a research-and-report workflow: first gather data from three sources in parallel, then summarize each, then merge summaries into a final report.","exampleUseCases":[{"title":"Parallel research task decomposition","prompt":"I have a complex research task that needs multiple agents working in parallel — can you plan a DAG for my swarm so agents gather data from five different sources simultaneously, then two agents summarize the results, and finally one agent writes the final report?"},{"title":"CI/CD pipeline agent orchestration","prompt":"Help me plan a swarm DAG for automating my software release pipeline: agents should run linting and tests in parallel, then one agent builds the artifact only after both pass, and finally another agent deploys it."},{"title":"Multi-step data processing workflow","prompt":"I need a DAG plan for my agent swarm to process a large dataset — split it into chunks first, clean each chunk in parallel across agents, then aggregate results and run a final validation agent before generating the output report."}],"resultDescription":"Returns a JSON object with a DAG execution plan describing task nodes, their dependencies, and the recommended execution order for the agent swarm, along with a success status and service identifier.","failureModes":["Missing or malformed properties input returns an error or empty plan","Overly complex task descriptions may produce incomplete DAG structures","Payment failure via x402 results in 402 HTTP response before any processing","Service unavailability on render.com hosting may cause timeouts","Ambiguous task descriptions may yield a generic or suboptimal DAG"],"whenToPreferThis":"Choose this endpoint when you need to decompose a multi-step, multi-agent workflow into a structured DAG with explicit dependencies and parallelism — especially when using autonomous AI agents that must coordinate tasks in a defined order. Prefer this over generic task schedulers when you need machine-payable, agent-native planning infrastructure on Base Mainnet.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T12:38:43.384Z","isFirstParty":false,"canonicalSlug":"swarm-dag-planner-0083f831"}