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CIEL M2M API – RAG Markdown Converter
x402
CIEL M2M API – RAG Markdown Converter is a paid API for AI agents from 169.58.38.67.sslip.io, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-18).
Converts or retrieves content in Markdown format suitable for Retrieval-Augmented Generation (RAG) pipelines, returning structured text data.
Price / call$0.02
Success—
StatusUnknown
How this service works
50+ micro-services for AI agents: data parsing, crypto analytics, security scanning, code tools, and more. Pay per call via x402 (USDC on Base) or RapidAPI subscription.
Output
A JSON object with a 'result' field containing the converted Markdown string — clean, structured text ready to be chunked, embedded, or ingested into a RAG or vector search pipeline.
Example use cases
RAG knowledge base ingestion
“Take this raw HTML article and convert it to clean Markdown so I can chunk it and store it in my vector database for retrieval.”
AI chatbot document prep
“I need this product documentation turned into Markdown format so my AI assistant can retrieve and cite it accurately — can you run it through the RAG markdown converter?”
Structured content extraction for embeddings
“Parse this unstructured text blob into Markdown with proper headers and structure so I can embed it for my semantic search system.”
Technical details
Endpoint
GEThttps://169.58.38.67.sslip.io/api/rag-markdownWhen to prefer
Choose this endpoint when you need a lightweight, pay-per-call ($0.02 USDC) microservice to convert or parse content into Markdown for RAG pipelines, without committing to a full subscription. Especially useful in agentic workflows that need on-demand document formatting at low cost.
Side effects
- Missing or malformed 'properties' input field returns an error or empty result
- Raw content that cannot be parsed may return garbled or empty markdown
- Rate limiting or payment failure via x402 results in 402 Payment Required
- Network errors to the IP-based endpoint may cause timeouts
- Unsupported content types may not render correctly in markdown output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| properties | string |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "data"
}
}Tags
x402
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