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Context Trimmer: URL & HTML Distiller with BM25 Budget Control
Context Trimmer: URL & HTML Distiller with BM25 Budget Control is a paid API for AI agents from shopify-spy.agentdiet.dev, paid per call via MPP, $0.001/call, status unknown (last checked 2026-10-23).
Fetches a URL or accepts raw HTML and distills it into compact, agent-ready tokens using BM25-ranked budget control with a configurable token 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://shopify-spy.agentdiet.dev/v1/context-trimmer)
Output
Returns a JSON object with a 'data' field containing the distilled content (Markdown, structured JSON tables/metadata, skeleton outline, or BM25-ranked excerpt depending on mode), plus an 'roi_proof' object showing raw_tokens, distilled_tokens, tokens_saved, compression_ratio_pct, roi_multiplier, and llm_cost_saved_usd — giving the agent quantified proof of how much context and cost was saved. Also includes cache status (HIT/MISS) and billing details.
Example use cases
Stripe docs agent context fitting
“Grab the Stripe documentation page at builtin://stripe-docs and distill it in budget mode with the query 'webhook signature verification' — keep it under 600 tokens so my agent can reason over it without blowing the context window.”
Competitor product page analysis
“Take this raw HTML from a Shopify store product page and distill it into structured mode so I can extract the pricing tables and metadata cleanly — here's the HTML: <html>...</html>.”
Research article skeleton extraction
“Distill https://en.wikipedia.org/wiki/Transformer_(machine_learning_model) into skeleton mode so I get just the headings and outline without all the body text flooding my context.”
Technical details
Endpoint
POSThttps://shopify-spy.agentdiet.dev/v1/context-trimmer?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to process web pages or HTML within a strict token budget, especially when LLM context window costs matter. It is superior to generic scrapers when you need BM25-ranked relevance filtering (mode=budget with a query) to surface only the most pertinent content. Prefer it over raw fetch-and-pass approaches when working with long documentation pages, product pages, or research articles where most content is noise. The ROI proof output makes it especially useful in cost-conscious agentic pipelines.
Side effects
- URL is unreachable or returns non-200 status — endpoint may return an error status
- Raw HTML is empty or malformed — distillation may produce minimal or no output
- max_tokens set too low (below 20) — rejected by schema validation
- BM25 query provided without mode=budget — query may be ignored
- Rate limiting or payment failure via x402 — 402 response requiring payment
- Token budget too tight for meaningful extraction — output may be truncated or empty
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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