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Web URL Distillation to Agent-Ready Tokens (RAG Chunk)
Web URL Distillation to Agent-Ready Tokens (RAG Chunk) is a paid API for AI agents from github-audit.agentdiet.dev, paid per call via MPP, $0.001/call, status unknown (last checked 2026-10-21).
Fetches and distills a web URL or raw HTML into compact, token-efficient markdown, structured JSON, skeleton outline, or BM25-focused budget excerpt for AI agent consumption.
Price / call$0.001
Success—
StatusUnknown
How this service works
Distill a URL or raw HTML payload with BM25 budget control (Live x402 v2, IETF MPP & MCP endpoint at https://github-audit.agentdiet.dev/v1/rag-chunk)
Output
Returns a JSON object with a 'data' field containing the distilled content in the requested mode (markdown text, structured JSON tables/metadata, skeleton outline, or BM25 excerpt), plus an 'roi_proof' object showing raw token count, distilled token count, tokens saved, compression ratio percentage, and estimated LLM cost saved in USD. Also includes optional cache hit/miss status and billing details.
Example use cases
Compress docs page for RAG pipeline
“Fetch and distill https://docs.openai.com/api-reference into structured JSON tables so I can slot it into my RAG pipeline without blowing my token budget.”
Budget-capped research on competitor page
“Grab https://www.anthropic.com/research, focus on the query 'constitutional AI', and give me a BM25 budget excerpt capped at 500 tokens.”
Skeleton outline of long article
“Distill https://en.wikipedia.org/wiki/Large_language_model in skeleton mode so I get just the outline and headings without all the body text.”
Technical details
Endpoint
GEThttps://github-audit.agentdiet.dev/v1/rag-chunk?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to ingest web content but must stay within a token budget or reduce LLM costs. It is particularly well-suited for RAG pipelines that fetch live web pages, agent workflows that need structured or skeleton views of documentation, and scenarios where BM25-ranked excerpts allow focusing on a specific query topic. Prefer it over generic scraping tools when token efficiency and cost-ROI proof are important.
Side effects
- URL is unreachable or returns non-200 status — fetch fails with error status
- URL contains no extractable text (e.g. pure JS SPA with no SSR) — returns empty or minimal distillation
- max_tokens set too low — may return truncated or near-empty output
- mode=budget without a query string — BM25 ranking has no focus, falls back to generic truncation
- Raw HTML payload malformed — parser may produce garbled output
- Payment not authorized (HTTP 402) — request blocked until payment fulfilled
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| urlrequired | string | Target webpage URL to fetch and distill (or builtin://stripe-docs) |
| html | string | Optional raw HTML string to distill directly without fetching |
| mode | string | Distillation mode |
| query | string | BM25 focus query when mode=budget |
| max_tokens | integer | Strict token budget ceiling when mode=budget |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| datarequired | object | Distilled Markdown, structured JSON tables/metadata, skeleton outline, or BM25 budget excerpt. |
| cache | object | |
| statusrequired | string | Execution status ('ok') |
| billing | object | |
| roi_proofrequired | object |
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