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AgentDiet RAG Chunk Endpoint
x402
AgentDiet RAG Chunk Endpoint is a paid API for AI agents from status.agentdiet.dev, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-22).
Fetches and distills a URL's content into compressed RAG-ready chunks, reducing token usage by up to 91% for AI context windows
Price / call$0.001
Success—
StatusUnknown
How this service works
Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://status.agentdiet.dev settling in USDC on Base.
Output
Returns a JSON object with a 'data' field containing the distilled content chunk, a 'status' field ('ok' on success), and an 'roi_proof' object showing the compression_ratio_pct (e.g. 91.4%), confirming how much token reduction was achieved.
Example use cases
Compress long docs for agent pipeline
“I need to pull in the content from https://docs.someproject.org/reference and compress it into RAG chunks so my agent can answer questions about it without blowing up the context window — can you do that?”
Token-efficient web research
“Grab the article at https://techcrunch.com/2024/05/01/ai-agents-trends and distill it down to the essential content so I can pass it to my LLM without wasting tokens.”
Reduce context bloat in multi-step agent
“My agent keeps hitting context limits when it reads external pages — can you fetch https://en.wikipedia.org/wiki/Retrieval-augmented_generation and return a compressed chunk version that uses at least 85% fewer tokens?”
Technical details
Endpoint
GEThttps://status.agentdiet.dev/v1/rag-chunk?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to fetch external URL content and reduce its token footprint before inserting it into a context window or RAG pipeline. Particularly valuable in multi-step agentic workflows where context limits are a bottleneck, or when cost-per-token matters. Best suited for text-heavy web pages, documentation, or articles where 85%+ compression is achievable. Prefer over raw HTTP fetching when token efficiency and structured RAG chunking are the goal.
Side effects
- URL unreachable or returns non-200 — empty data or error status
- Invalid or missing 'input' object — schema validation failure
- Unsupported HTTP method specified — rejected at input validation
- Target URL returns non-text content (binary, media) — low or zero compression output
- Payment not settled in USDC on Base — 402 response blocking execution
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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