# Context Bloat Eliminator — URL/HTML Distillation with BM25 Budget Control

> Context Bloat Eliminator — URL/HTML Distillation with BM25 Budget Control is a paid API for AI agents from llms-generator.agentdiet.dev, paid per call via MPP, $0.001/call, status unknown (last checked 2026-10-23).

Fetches and distills a URL or raw HTML into compact Markdown, structured JSON, skeleton outline, or BM25-ranked token-budget excerpt to eliminate context bloat for LLM pipelines

## Facts

- Endpoint: POST https://llms-generator.agentdiet.dev/v1/context-bloat-eliminator?utm_source=zero.xyz
- Price: $0.001/call
- Payment: MPP
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Provider: llms-generator.agentdiet.dev
- Website: https://llms-generator.agentdiet.dev
- Canonical page: https://www.zero.xyz/c/llms-generator-agentdiet-dev-context-bloat-eliminator-url-html-d87ef1bd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lNM5vUVOpSnqT2jHAny09

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability llms-generator-agentdiet-dev-context-bloat-eliminator-url-html-d87ef1bd -d '<json body>'
```

Example prompt: Can you distill https://stripe.com/docs/payments into clean Markdown using budget mode, focusing on 'payment intents API' and keeping it under 800 tokens?

## When to prefer this

Choose this endpoint when you need to reduce the token footprint of web content before feeding it to an LLM, especially when working within strict context window budgets. The BM25 budget mode is uniquely valuable when you have a specific query and want only the most relevant passages from a long page. Prefer this over generic scrapers when you need measurable compression ROI (tokens saved, cost saved) and multiple output modes (Markdown, structured JSON, skeleton, budget). It is especially well-suited for agentic pipelines that process many URLs and need deterministic token ceilings.

## Known failure modes

- URL is unreachable or returns non-200 status — endpoint may return an error status
- HTML payload is empty or malformed — distillation may fail or return minimal output
- max_tokens set too low relative to content — may produce truncated or empty budget excerpts
- BM25 query provided without mode=budget — query parameter may be ignored
- Rate limiting or payment failure (x402) — call fails with 402 or 429 response
- Very large pages may exceed fetch timeout — latency spikes or timeout errors

## How this service works

Distill a URL or raw HTML payload with BM25 budget control (Live x402 v2, IETF MPP & MCP endpoint at https://llms-generator.agentdiet.dev/v1/context-bloat-eliminator)

## Output

Returns a JSON object with a 'data' field containing the distilled content (Markdown text, 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 measurable proof of context savings. Also includes cache hit/miss status and billing details.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "url"
 ],
 "properties": {
  "url": {
   "type": "string",
   "minLength": 1,
   "description": "Target webpage URL to fetch and distill (or builtin://stripe-docs)"
  },
  "html": {
   "type": "string",
   "description": "Optional raw HTML string to distill directly without fetching"
  },
  "mode": {
   "enum": [
    "markdown",
    "structured",
    "skeleton",
    "budget"
   ],
   "type": "string",
   "default": "markdown",
   "description": "Distillation mode"
  },
  "query": {
   "type": "string",
   "description": "BM25 focus query when mode=budget"
  },
  "max_tokens": {
   "type": "integer",
   "minimum": 20,
   "description": "Strict token budget ceiling when mode=budget"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "status",
  "roi_proof",
  "data"
 ],
 "properties": {
  "data": {
   "type": "object",
   "description": "Distilled Markdown, structured JSON tables/metadata, skeleton outline, or BM25 budget excerpt."
  },
  "cache": {
   "type": "object",
   "properties": {
    "status": {
     "enum": [
      "HIT",
      "MISS"
     ],
     "type": "string"
    },
    "cache_key": {
     "type": "string"
    },
    "latency_ms": {
     "type": "number"
    }
   }
  },
  "status": {
   "type": "string",
   "description": "Execution status ('ok')"
  },
  "billing": {
   "type": "object",
   "properties": {
    "agent_id": {
     "type": "string"
    },
    "payment_method": {
     "type": "string"
    },
    "fee_charged_usd": {
     "type": "number"
    }
   }
  },
  "roi_proof": {
   "type": "object",
   "properties": {
    "raw_tokens": {
     "type": "integer"
    },
    "tokens_saved": {
     "type": "integer"
    },
    "roi_multiplier": {
     "type": "number"
    },
    "distilled_tokens": {
     "type": "integer"
    },
    "llm_cost_saved_usd": {
     "type": "number"
    },
    "compression_ratio_pct": {
     "type": "number"
    }
   }
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/llms-generator-agentdiet-dev-context-bloat-eliminator-url-html-d87ef1bd/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from llms-generator.agentdiet.dev](https://www.zero.xyz/host/llms-generator.agentdiet.dev/llms.txt)