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Swarm DAG Planner
x402
Swarm DAG Planner is a paid API for AI agents from swarm-protocol.onrender.com, paid per call via x402, $0.2/call, status unknown (last checked 2026-10-11).
Plans directed acyclic graph (DAG) execution strategies for multi-agent AI swarms, enabling coordinated autonomous task decomposition and scheduling.
Price / call$0.2
Success—
StatusUnknown
How this service works
Machine-payable protocol for autonomous AI agent commerce. Monetized tools secured by x402 micropayments on Base Mainnet USDC.
Output
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.
Example use cases
Parallel research task decomposition
“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?”
CI/CD pipeline agent orchestration
“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.”
Multi-step data processing workflow
“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.”
Technical details
Endpoint
GEThttps://swarm-protocol.onrender.com/tools/swarm_dag_planner?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| properties | string |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {},
"status": "success",
"service": "swarm_dag_planner"
}
}Tags
x402
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