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Web URL Context Compressor
Web URL Context Compressor is a paid API for AI agents from onchain-risk.agentdiet.dev, 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, agent-ready tokens using BM25 budget control and multiple 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://onchain-risk.agentdiet.dev/v1/context-compress)
Output
Returns a JSON object with distilled content (Markdown text, structured JSON tables/metadata, skeleton outline, or BM25-ranked excerpt depending on mode), plus an ROI proof block showing raw vs distilled token counts, tokens saved, compression ratio percentage, estimated LLM cost saved in USD, and a cache status indicator.
Example use cases
Compress documentation page for agent
“Distill https://docs.openai.com/api-reference into structured markdown mode so my agent can read the key tables and metadata without using thousands of tokens.”
BM25 budget excerpt from news article
“Fetch https://techcrunch.com/2024/05/01/some-article and extract only the parts relevant to 'Series A funding round', keeping the output under 300 tokens using budget mode.”
Convert raw HTML blob to clean text
“I have a raw HTML string from a scraped product page — can you distill it into skeleton mode so I get just the outline structure without all the noise?”
Technical details
Endpoint
GEThttps://onchain-risk.agentdiet.dev/v1/context-compress?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to feed web content into an LLM but want to minimize token usage and cost — especially when working with long documentation pages, news articles, or raw HTML that would otherwise overflow a context window. It's particularly valuable when you have a strict token budget (mode=budget with max_tokens) or need BM25-focused relevance extraction around a specific query. Prefer it over raw fetch-and-pass when LLM cost or context length is a concern.
Side effects
- URL is unreachable or returns non-200 status — fetch fails with an error status
- HTML content is too short or empty — distillation returns minimal or empty data
- max_tokens too low to represent any meaningful content — may return truncated or near-empty excerpt
- BM25 query provided without mode=budget — query parameter may be ignored
- Invalid mode enum value — request rejected with validation error
- Payment not attached or insufficient — HTTP 402 returned blocking the response
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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