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Master Swarm Orchestrator MCP
x402
Master Swarm Orchestrator MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $1/call, status unknown (last checked 2026-10-11).
Orchestrates and coordinates multi-agent swarm workflows by processing task data through a master orchestration layer
Price / call$1
Success—
StatusUnknown
How this service works
The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.
Output
Returns the aggregated output from the orchestrated swarm process, including results produced by coordinated agents working on the submitted task data.
Example use cases
Distributed research task coordination
“I need to break down this research question into subtasks and have a swarm of agents tackle each part — use the master swarm orchestrator to coordinate them: 'What are the latest advancements in quantum computing hardware?'”
Multi-agent data processing pipeline
“Spin up the swarm orchestrator to process this dataset across multiple agents in parallel: 'customer_transactions_nov2024.json — segment by region, flag anomalies, and summarize trends'.”
Complex workflow delegation to agent swarm
“Use the master swarm orchestrator to delegate and coordinate this multi-step content task: 'draft blog posts, fact-check claims, optimize for SEO, and format for publication across five topics'.”
Technical details
Endpoint
POSThttps://api.m2mcent.com/master-swarm-orchestrator-mcp/api/process?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to coordinate multiple AI agents as a swarm under a central master orchestrator, especially for complex, parallelizable, or multi-step tasks that benefit from distributed agent collaboration rather than a single sequential agent.
Side effects
- Malformed or missing 'data' field returns a validation error
- Swarm orchestration timeout if subtasks are too complex or long-running
- Payment failure (HTTP 402) if USDC balance is insufficient
- Ambiguous or empty task data may result in no meaningful swarm output
- Network errors or agent node failures within the swarm may cause partial results
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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