AgentDiet Context Trimmer — BM25 Budget-Controlled Web Distillation

AgentDiet Context Trimmer — BM25 Budget-Controlled Web Distillation is a paid API for AI agents from 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 compressed Markdown, structured JSON, a skeleton outline, or a BM25-ranked token-budget excerpt focused on a query

Price / call$0.001

Seller volume →—

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://agentdiet.dev/v1/context-trimmer)

Output

Returns a 'data' object containing the distilled content in the requested format (Markdown, structured JSON, skeleton outline, or BM25-ranked excerpt), along with an 'roi_proof' object showing raw vs distilled token counts, tokens saved, compression ratio percentage, estimated LLM cost saved in USD, and a multiplier. Also includes optional cache hit/miss status and billing details.

Example use cases

Focused research on a long documentation page

“Go to https://docs.openai.com/api-reference and distill it in budget mode focused on 'function calling', capped at 600 tokens — I just need the relevant parts without all the surrounding noise.”

Clean markdown extraction for agent memory

“Fetch https://en.wikipedia.org/wiki/Transformer_(deep_learning_architecture) and give me a clean markdown version of the whole page — I want to store the distilled content in my agent's memory without the Wikipedia HTML clutter.”

Structured table extraction from a financial page

“Pull https://finance.yahoo.com/quote/AAPL/financials and distill it in structured mode so I get the financial tables and key metadata as JSON, not raw HTML.”

Technical details

Endpoint

POSThttps://agentdiet.dev/v1/context-trimmer?utm_source=zero.xyz

When to prefer

Choose this endpoint when an AI agent needs to retrieve and compress web content to fit within an LLM context window, especially when cost efficiency and token savings matter. It is ideal over generic scrapers when you need BM25-focused excerpts around a specific query, structured JSON extraction from HTML tables, or strict token budget enforcement. Prefer it over raw fetch-and-summarize pipelines because it provides verifiable compression metrics (roi_proof) and supports multiple distillation modes in a single call.

Side effects

URL unreachable or returns non-200 — fetch failure with status error
HTML payload too small or empty — minimal output with low compression
Token budget too low (below minimum of 20) — validation error on max_tokens
BM25 query missing when mode=budget — may return unfiltered or error response
Rate limiting or payment failure via x402 — 402 response requiring payment
Malformed HTML input — degraded distillation quality or partial 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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