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Webpage Distiller – Compact Agent-Ready Token Extractor
Webpage Distiller – Compact Agent-Ready Token Extractor is a paid API for AI agents from mcp-security.agentdiet.dev, paid per call via MPP, $0.001/call, status unknown (last checked 2026-10-21).
Fetches a URL or raw HTML and distills it into a token-budget-controlled, agent-readable format using markdown, structured, skeleton, or BM25-focused 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://mcp-security.agentdiet.dev/v1/webpage-distiller)
Output
Returns an object with a 'data' field containing the distilled content in the requested format (markdown text, structured JSON with tables/metadata, a skeleton outline, or a BM25-ranked excerpt), along with an 'roi_proof' block showing raw vs distilled token counts, compression ratio percentage, tokens saved, ROI multiplier, and estimated LLM cost saved in USD. Also includes optional cache hit/miss status and billing details.
Example use cases
Token-efficient article reading for agents
“Grab the content from https://www.wired.com/story/openai-gpt5-announcement and distill it into clean markdown — I want the key points without blowing my token budget.”
BM25 focused research extraction
“Fetch https://docs.anthropic.com/claude/reference/getting-started and extract only the parts about rate limits and pricing — use budget mode with a max of 500 tokens and focus the query on 'rate limits pricing'.”
Structured data pull from a company page
“Pull https://stripe.com/pricing and give me a structured breakdown of all the pricing tables and metadata — use structured mode so I get clean JSON I can work with.”
Technical details
Endpoint
GEThttps://mcp-security.agentdiet.dev/v1/webpage-distiller?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your agent needs to ingest a web page but wants to minimize token usage — especially for LLM pipelines where context window cost matters. It excels over raw fetch+parse approaches because it provides built-in BM25 relevance filtering, multiple output formats (markdown, structured JSON, outline skeleton), and explicit ROI metrics so you can verify compression value. Prefer it over generic scraping APIs when you need the output pre-formatted for downstream LLM consumption with a strict token ceiling.
Side effects
- Invalid or unreachable URL returns an error status
- Raw HTML too large may be truncated or rejected
- mode=budget without a query or max_tokens may return unfiltered content
- BM25 query returning no relevant matches may yield minimal or empty excerpt
- Rate-limited or paywalled pages may return empty or partial content
- Malformed HTML may produce garbled markdown output
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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