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RAG Token Diet — Web URL Distiller
RAG Token Diet — Web URL Distiller is a paid API for AI agents from token-intel.agentdiet.dev, paid per call via MPP, $0.001/call, status unknown (last checked 2026-10-21).
Fetches and compresses a webpage URL (or raw HTML) into compact agent-ready tokens using Markdown, structured, skeleton, or BM25-budgeted extraction 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://token-intel.agentdiet.dev/v1/rag-token-diet)
Output
Returns a 'data' object containing the distilled content in the requested format (Markdown text, structured JSON tables/metadata, skeleton outline, or BM25-focused excerpt), alongside an 'roi_proof' object showing raw token count, distilled token count, tokens saved, compression ratio percentage, LLM cost saved in USD, and ROI multiplier. Also includes optional cache hit/miss status and billing details.
Example use cases
Fitting documentation into a context window
“Pull the content from https://docs.openai.com/api-reference and distill it into structured mode so I can load just the key tables and metadata into my agent without blowing the context window.”
Budget-focused retrieval for a research question
“Fetch https://en.wikipedia.org/wiki/Transformer_(deep_learning_architecture) in budget mode with a max of 300 tokens, focused on 'attention mechanism' so I get only the most relevant excerpt.”
Skeleton outline of a long article
“Give me a skeleton outline of this article at https://www.nytimes.com/2024/01/15/technology/ai-chips-supply.html so I can see the structure and key headings without reading the whole thing.”
Technical details
Endpoint
GEThttps://token-intel.agentdiet.dev/v1/rag-token-diet?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to read a webpage but must stay within a strict LLM token budget, or when you want structured/outline extraction rather than raw HTML. Particularly valuable in RAG pipelines where you need BM25-focused retrieval against a specific query from a live URL. Prefer over raw fetch when token efficiency and ROI measurement matter, or when you need Markdown/JSON normalization of arbitrary web content.
Side effects
- URL unreachable or returns non-200 HTTP status — endpoint may return an error status
- URL resolves to non-HTML content (PDF, binary) — distillation may fail or return empty data
- max_tokens set too low for meaningful extraction — may return truncated or empty excerpt
- Invalid mode enum value — request rejected with validation error
- Raw HTML too large — may timeout or exceed processing limits
- Paywalled or JavaScript-heavy pages may return minimal content
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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