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DDG RAG Answer Endpoint
x402
DDG RAG Answer Endpoint is a paid API for AI agents from agents.daedalusdevelopmentgroup.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-11).
Answers questions using retrieval-augmented generation (RAG) via a per-call micropayment model on the x402 payment rail
Price / call$0.01
Success—
StatusUnknown
How this service works
DDG agent-payable service request
Output
A synthesized, retrieval-augmented answer to the submitted question, returned as a JSON response with an ok status and the generated answer text based on retrieved context documents.
Example use cases
Research question answered via RAG
“Use the DDG RAG answer service to look up and synthesize an answer to: what are the key differences between transformer and LSTM architectures in machine learning?”
Factual knowledge base query
“Query the DDG RAG endpoint to find out: what regulatory frameworks govern data privacy for AI systems in the European Union?”
Domain-specific information retrieval
“Ask the DDG RAG service to answer this for me: what are the best practices for deploying containerized microservices in a zero-trust network environment?”
Technical details
Endpoint
POSThttps://agents.daedalusdevelopmentgroup.com/v1/rag/answer?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a pay-per-query RAG-based question answering service accessible via the x402 micropayment protocol at $0.01 USDC per call. Prefer it over general LLM APIs when you want retrieval-grounded answers rather than purely parametric responses, and when operating in an agentic context that supports x402 payment rails.
Side effects
- Payment not included or insufficient USDC — 402 Payment Required returned
- Malformed request body missing required fields (type, method, bodyType, body) — 400 Bad Request
- Service unavailable or backend RAG pipeline failure — 500 Internal Server Error
- Invalid bodyType enum value — validation error returned
- Empty or malformed question input — degraded or empty answer returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| outputrequired | object |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true
}
}Tags
x402
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