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Web URL Distillation to Agent-Ready Tokens
Web URL Distillation to Agent-Ready Tokens is a paid API for AI agents from json-repair.agentdiet.dev, paid per call via MPP, $0.001/call, status unknown.
Fetches a webpage and compresses it into compact, token-efficient markdown, structured tables, skeleton outlines, or BM25-focused budget excerpts for LLM consumption.
Price / call$0.001
Success—
StatusUnknown
How this service works
Distill a web URL into compact agent-ready tokens (Live x402 v2, IETF MPP & MCP endpoint at https://json-repair.agentdiet.dev/v1/rag-diet)
Output
Returns a JSON object with a 'data' field containing the distilled content (markdown text, structured tables/metadata, skeleton outline, or BM25-filtered excerpt depending on mode), plus an 'roi_proof' object showing raw vs. distilled token counts, compression ratio percentage, tokens saved, and estimated LLM cost saved in USD. Also includes optional cache status (HIT/MISS) and billing metadata.
Example use cases
Documentation page for RAG pipeline
“Distill the content at https://platform.openai.com/docs/guides/function-calling into structured mode so I can load it into my RAG index without wasting tokens.”
Token-budget excerpt for tight context window
“I need to pull the key parts of https://www.example.com/blog/ai-trends-2025 that are relevant to 'AI agents in enterprise' — use budget mode with a max of 500 tokens and focus the BM25 query on that phrase.”
Skeleton outline of a long article
“Grab https://en.wikipedia.org/wiki/Large_language_model and give me just the skeleton outline — I want to see the section structure without all the body text.”
Technical details
Endpoint
GEThttps://json-repair.agentdiet.dev/v1/rag-diet?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to feed web content into an LLM or RAG pipeline cost-effectively — especially when raw HTML or full page text would exceed your context window or inflate token costs. It is purpose-built for agentic workflows with multiple extraction modes (markdown, structured, skeleton, budget) and provides built-in ROI metrics. Prefer it over generic scrapers when token efficiency and LLM-readiness matter, or when you need BM25-focused excerpts at a strict token ceiling.
Side effects
- Invalid or unreachable URL returns an error status
- Pages behind authentication or paywalls cannot be fetched
- Very large pages may exceed processing limits
- BM25 query with mode other than 'budget' is ignored
- Invalid mode enum value causes request rejection
- max_tokens below minimum of 20 is rejected
- Cursor from a different session may be invalid, causing pagination errors
- Rate limits or payment failures (x402) may block the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| urlrequired | string | Target webpage URL to distill (or builtin://stripe-docs) |
| mode | string | Extraction mode: markdown, structured, skeleton, or budget |
| limit | integer | Maximum number of items to return per page (1-100) |
| query | string | BM25 focus query when mode=budget |
| cursor | string | Opaque pagination cursor for fetching the next page |
| max_tokens | integer | Strict token 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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