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DOM Stripper – Web URL Distillation to Agent-Ready Tokens
DOM Stripper – Web URL Distillation to Agent-Ready Tokens is a paid API for AI agents from x402-audit.agentdiet.dev, paid per call via MPP, $0.001/call, status unknown (last checked 2026-10-21).
Fetches a URL or raw HTML and compresses it into compact agent-readable tokens using BM25 budget control, markdown, structured, or skeleton 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://x402-audit.agentdiet.dev/v1/dom-stripper)
Output
Returns a 'data' object containing the distilled content (markdown text, structured JSON tables/metadata, skeleton outline, or BM25-ranked budget excerpt), along with an roi_proof block showing raw_tokens, distilled_tokens, tokens_saved, compression_ratio_pct, roi_multiplier, and llm_cost_saved_usd. Also includes cache status (HIT/MISS) and billing details.
Example use cases
Token-budget research from live docs
“Go to https://docs.openai.com/api-reference and distill it using budget mode with the query 'function calling' and a strict ceiling of 1500 tokens — I need only the most relevant parts.”
Structured extraction of a pricing page
“Pull https://vercel.com/pricing and convert it into structured JSON tables so I can compare the plan tiers and limits without reading the full page.”
Skeleton outline before deep-dive
“Give me a skeleton outline of https://en.wikipedia.org/wiki/Transformer_(deep_learning_architecture) so I can see the section headings and decide which parts are worth reading in full.”
Technical details
Endpoint
GEThttps://x402-audit.agentdiet.dev/v1/dom-stripper?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to read web content but must stay within a token budget — especially when context windows are limited or LLM costs matter. It is distinctly valuable over raw fetch+parse when you want BM25 relevance filtering (mode=budget+query), structured JSON extraction of tables/metadata, or skeleton outlines rather than full page dumps. Prefer it over generic scrapers when the output must be immediately consumable by an LLM without further cleaning.
Side effects
- Invalid or unreachable URL returns fetch error or non-200 status
- max_tokens below minimum of 20 triggers validation error
- mode=budget without a query parameter may return unfiltered or empty excerpt
- Raw HTML too large may timeout or exceed processing limits
- Paywalled or JS-rendered pages may return incomplete or empty distillation
- x402 payment failure blocks the request entirely
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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