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Webpage Distiller – Compact Agent-Ready Tokens
Webpage Distiller – Compact Agent-Ready Tokens is a paid API for AI agents from x402broker.com, 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 compact, token-efficient markdown, structured JSON, skeleton outline, or BM25-focused excerpts with a strict token budget ceiling.
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://x402broker.com/v1/webpage-distiller)
Output
Returns a 'data' object containing the distilled content in the requested mode (markdown text, structured JSON tables/metadata, skeleton section outline, or BM25-focused excerpt), plus an roi_proof object showing raw token count, distilled token count, tokens saved, compression ratio percentage, and estimated LLM cost saved in USD. Also includes cache status (HIT/MISS) and billing details.
Example use cases
Compress docs page for LLM context
“Fetch https://docs.openai.com/api-reference and distill it into markdown under 1500 tokens, focusing the BM25 query on 'function calling' so I can paste it into my prompt.”
Extract structured data from landing page
“Pull https://linear.app/pricing and distill it in structured mode so I get a clean JSON table of their pricing tiers and features — I want to compare plans.”
Skeleton outline of long article
“Take this URL — https://a16z.com/the-future-of-ai-agents — and give me a skeleton outline of the page so I can see the main sections without reading the whole thing.”
Technical details
Endpoint
GEThttps://x402broker.com/v1/webpage-distiller?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to inject live web content into an LLM prompt without burning your token budget — especially for documentation pages, research articles, landing pages, or any URL where you need focused extraction. Prefer it over generic scrapers when you need BM25-ranked budget control, token compression metrics, or multiple output modes (markdown vs structured vs skeleton). Ideal when LLM cost reduction and context window efficiency are primary concerns.
Side effects
- URL is unreachable or returns non-200 status — fetch fails
- URL resolves to a bot-protection page (Cloudflare, CAPTCHA) — distillation returns empty or garbled content
- max_tokens set too low (below 20) — request rejected with validation error
- mode=budget used without a query — BM25 ranking has no focus signal
- Raw HTML passed via html field is malformed — parser may produce incomplete output
- Payment fails (402) — request not processed
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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