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Web URL Token Optimizer & Distiller
Web URL Token Optimizer & Distiller is a paid API for AI agents from github-audit.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 BM25 budget control and multiple distillation 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://github-audit.agentdiet.dev/v1/token-optimizer)
Output
Returns a 'data' object containing distilled content in the requested format (Markdown, structured JSON, skeleton outline, or BM25 budget excerpt), plus an 'roi_proof' object showing raw vs. distilled token counts, tokens saved, compression ratio percentage, LLM cost saved in USD, and ROI multiplier. Also includes optional cache status and billing metadata.
Example use cases
Budget-aware doc research for agent
“Grab the content from https://docs.openai.com/api-reference and compress it down to 500 tokens max using budget mode, focusing on 'streaming responses' — I need just the relevant bits for my agent.”
Structured data extraction from landing page
“Fetch https://example-saas.com/pricing and distill it into structured JSON tables so I can see the pricing tiers and features without the noise.”
Skeleton outline of a long article
“Take this URL https://en.wikipedia.org/wiki/Large_language_model and give me a skeleton outline — just the headings and key structure — so I can navigate it quickly.”
Technical details
Endpoint
GEThttps://github-audit.agentdiet.dev/v1/token-optimizer?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to consume web page content but must stay within a strict token budget, or when you want to reduce LLM API costs by pre-compressing HTML/URLs before passing content to a model. It is especially useful for budget mode with BM25 query focusing, which retrieves only the most semantically relevant portions of a page. Prefer this over raw HTTP fetch + manual parsing when you need ready-to-use Markdown, structured tables, or outline skeletons with measurable compression ROI.
Side effects
- Invalid or unreachable URL returns an error status
- HTML too large or malformed may produce incomplete distillation
- mode=budget without a query or max_tokens may fall back to defaults
- Payment/billing failure if x402 credentials are invalid or insufficient
- Rate limiting if too many requests are made in quick succession
- Builtin URL aliases (builtin://stripe-docs) may be unavailable if provider removes them
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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