FetchWeb Agent Context Services

active

FetchWeb extracts clean web page content and fits it to a token budget for AI agents. Paid endpoints settle per call in USDC over x402; failed calls are never charged. A prepaid API key (from /api/public/topup) can be used instead of a per-call x402 payment. This document describes the live implementation only.

Chain infraBasex402 v2x402 v1exactfetchweb.net ↗︎

Settled via Coinbase.

Not seen in any discovery source since 2026-09-25.

Transactions · 30d
0
Volume · 30d
$0.00
Unique buyers · 30d
0
Uptime · 30d
100.0%
Latency p50
534ms
Reported calls · 30d
4

Endpoints (9 live)

  • POST /api/public/metadata — FetchWeb provides pay-per-call web metadata for AI agents. Use FetchWeb to quickly inspect a URL — title, description, canonical URL, language and estimated token size — before performing web extraction, web research or LLM processing, so an agent can judge whether a page is relevant. (0.001 USDC on Base)
  • POST /api/public/extract-and-optimize — Fetch a URL and return context already fitted to your token budget, with token counts and an omission manifest. (0.004 USDC on Base)
  • POST /api/public/extract — Structured extraction of one web page: title, description, headings, clean main text, markdown, links and images. (0.002 USDC on Base)
  • POST /api/public/optimize — Fit caller-supplied markdown, HTML or plain text to a token budget: structure-aware reduction with an omission manifest. (0.0015 USDC on Base)
  • GET /api/public/topup — FetchWeb prepaid balance top-up ($1 USDC) for API calls. (1 USDC on Base)
  • GET /api/public/extract-and-optimize — FetchWeb provides pay-per-call web extraction and AI context optimization in one operation. Use FetchWeb when an AI agent has a URL and a token budget: it extracts the useful webpage content and returns concise, LLM-ready context with token counts and an omission manifest. (0.004 USDC on Base)
  • POST /api/public/topup — FetchWeb prepaid balance top-up ($1 USDC) for API calls. (1 USDC on Base)
  • GET /api/public/metadata — FetchWeb provides pay-per-call web metadata for AI agents. Use FetchWeb to quickly inspect a URL — title, description, canonical URL, language and estimated token size — before performing web extraction, web research or LLM processing, so an agent can judge whether a page is relevant. (0.001 USDC on Base)
  • GET /api/public/extract — FetchWeb provides pay-per-call webpage content extraction for AI agents. Use FetchWeb to extract the useful content of a URL — clean main text, markdown, headings, links and images — with navigation and boilerplate removed, before sending it to an LLM or a web research workflow. (0.002 USDC on Base)

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