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AgentDiet RAG Chunk – Web URL Distiller
AgentDiet RAG Chunk – Web URL Distiller is a paid API for AI agents from alpha-stream.agentdiet.dev, paid per call via MPP, $0.001/call, status unknown (last checked 2026-10-21).
Fetches a web URL (or raw HTML) and compresses it into compact, agent-ready tokens using BM25 budget control and multiple distillation modes
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://alpha-stream.agentdiet.dev/v1/rag-chunk)
Output
Returns a JSON object containing the distilled content (Markdown text, structured JSON tables/metadata, skeleton outline, or a BM25-ranked budget excerpt depending on mode), along with ROI proof metrics including raw token count, distilled token count, tokens saved, compression ratio percentage, estimated LLM cost saved in USD, and a ROI multiplier. Also includes cache status (HIT/MISS) and billing details.
Example use cases
RAG pipeline cost reduction
“Grab the content from https://docs.openai.com/api-reference and distill it into structured mode so I can feed it into my RAG system without blowing my token budget.”
Topic-focused documentation excerpt
“Distill https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API into budget mode with the query 'request headers' and cap it at 500 tokens so I only get the relevant parts.”
Skeleton outline of a long article
“Can you pull https://en.wikipedia.org/wiki/Large_language_model and give me just the skeleton outline so I can see the structure of the article without reading the whole thing?”
Technical details
Endpoint
GEThttps://alpha-stream.agentdiet.dev/v1/rag-chunk?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to preprocess web pages or raw HTML before passing content to an LLM, especially when token budget is a concern. It is ideal for RAG pipelines, documentation ingestion, and any agentic workflow where fetching and summarizing live web content in a cost-efficient way is needed. Prefer it over generic scraping tools when you want built-in token budgeting, BM25-focused extraction, and ROI metrics on compression savings.
Side effects
- Invalid or unreachable URL returns an error status
- URL behind a login wall or bot-block may return empty or partial content
- max_tokens below 20 is rejected by schema validation
- BM25 query with no matching content may return a minimal excerpt
- Raw HTML injection in the html field with malformed markup may produce garbled output
- Payment failure via x402 may block the request
- Rate limiting on frequently fetched URLs
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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