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RAG Diet — BM25 Budget-Controlled Web Distiller
RAG Diet — BM25 Budget-Controlled Web Distiller is a paid API for AI agents from json-repair.agentdiet.dev, paid per call via MPP, $0.001/call, status unknown.
Fetches and distills a URL or raw HTML payload into compact, agent-ready tokens using BM25-ranked 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://json-repair.agentdiet.dev/v1/rag-diet)
Output
Returns a JSON object containing distilled content (Markdown, structured JSON, skeleton outline, or BM25-filtered excerpt depending on mode), ROI proof metrics (raw token count, distilled token count, tokens saved, compression ratio percentage, LLM cost saved in USD, ROI multiplier), optional cache status (HIT/MISS), and billing details including fee charged.
Example use cases
Token-budget RAG pipeline ingestion
“Grab https://openai.com/pricing and distill it in budget mode focused on the query 'embedding model cost' with a max of 300 tokens — I need to fit it inside my RAG context window without blowing my budget.”
Structured data extraction from product page
“Distill https://www.anthropic.com/product into structured mode so I get the tables and metadata as JSON — I want to compare their model specs in a structured format.”
Summarize raw HTML from a scrape
“I already scraped this HTML — can you distill it directly in markdown mode without re-fetching the URL? Here's the raw HTML: <html>...</html>”
Technical details
Endpoint
POSThttps://json-repair.agentdiet.dev/v1/rag-diet?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to compress web pages or HTML payloads into a strict token budget before feeding them into an LLM or RAG pipeline, especially when you want BM25-ranked relevance filtering against a specific query. It is particularly valuable when LLM context costs are a concern and you need measurable ROI proof (compression ratio, tokens saved, cost saved). Prefer it over generic scrapers when you need multiple output modes (markdown, structured, skeleton, budget) and built-in token accounting.
Side effects
- URL is unreachable or returns non-200 status — service may return an error status
- HTML payload is malformed or empty — distillation may fail or return minimal content
- mode=budget used without a query field — BM25 ranking has no focus term
- max_tokens set below minimum of 20 — request rejected by schema validation
- Payment not authorized via x402 — 402 Payment Required response blocks execution
- Target URL blocks bots or requires authentication — fetched content may be incomplete
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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