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IMPERIUM WORKFLOWS Multi-Agent A2A DAG Pipeline Studio
x402
IMPERIUM WORKFLOWS Multi-Agent A2A DAG Pipeline Studio is a paid API for AI agents from workflows.agentdiet.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-01).
Orchestrates a single-call 3-node multi-agent DAG workflow chaining security audits, DeFi/on-chain risk checks, B2B OSINT, and RAG distillation over MCP and A2A protocols.
Price / call$0.01
Success—
StatusUnknown
How this service works
Single-call 3-node multi-agent DAG workflow orchestrator chaining security audits, DeFi/on-chain risk checks, B2B OSINT, and RAG distillation over MCP and A2A.
Output
Returns a JSON object with a 'status' field, a 'data' object containing the aggregated outputs from all three chained agent nodes (security audit, DeFi/on-chain risk, B2B OSINT, and RAG distillation), and an 'roi_proof' object showing the compression ratio achieved (e.g. 91.4% compression ratio).
Example use cases
DeFi protocol due diligence pipeline
“Run the full 3-node agent pipeline on https://new-defi-protocol.io — I need the security audit, on-chain risk assessment, and OSINT report all chained together so I can evaluate whether it's safe to integrate.”
B2B vendor security and OSINT screening
“Can you fire the multi-agent DAG workflow against https://vendor-company.com with a GET request? I want the combined security headers audit, B2B OSINT findings, and the RAG-distilled summary in one response.”
MCP endpoint compliance and risk check
“Orchestrate the IMPERIUM multi-agent pipeline over https://mcp-agent-endpoint.example/v1 using GET — chain together the A2A compliance audit, prompt injection risk scan, and RAG distillation so I get one compressed report.”
Technical details
Endpoint
GEThttps://workflows.agentdiet.dev/v1/mcp-compiler?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to combine multiple distinct analysis types — security auditing, DeFi/on-chain risk, B2B OSINT, and RAG distillation — into a single call rather than managing each agent individually. It is ideal for due diligence workflows where token efficiency matters (91%+ compression) and where the target is a URL, MCP endpoint, or A2A agent. Prefer this over individual audit endpoints when you want a unified, compressed output from a chained DAG pipeline with minimal orchestration overhead.
Side effects
- Invalid or unreachable target URL returns an error in the data field
- Missing required 'input.type' or 'input.method' fields causes schema validation failure
- Target endpoint rate-limits or blocks the pipeline resulting in incomplete node results
- Payment not processed via x402 results in 402 response blocking execution
- Malformed queryParams.target causes pipeline to fail at the first node
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {},
"status": "ok",
"roi_proof": {
"compression_ratio_pct": 91.4
}
}
}Tags
x402
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