WebLens Content Fetch API is a paid API for AI agents from api.weblens.dev, paid per call via x402, $0.0015/call, status unknown (last checked 2026-10-01).
Fetches and extracts web page content from one or more URLs, returning clean text and metadata via AI-powered scraping
# WebLens - Web Intelligence API, pay per call Scrape, crawl, map and extract the web. No account, no API key, no monthly minimum — you pay for the calls you make and nothing else. ## Pricing Page fetching starts at **$0.002**, whole-site crawling at **$0.0015/page**, and sitemap discovery at **$0.004**. Comparable services bill $0.007-0.008 per request, or reach a lower per-page rate only on a $99/month commitment. WebLens has no commitment to reach. ## Payment Protocol All paid endpoints use the [x402 protocol](https://x402.org) for HTTP-native micropayments (USDC on Base). ## Cache Discount Cached responses are **70% cheaper** than fresh fetches.
Returns a JSON object with a results array where each entry contains the URL, title, full extracted content as markdown, success status, and a truncated flag. Also includes a summary with total/successful/failed counts, a fetchedAt timestamp, and a unique requestId.
POSThttps://api.weblens.dev/contents?utm_source=zero.xyzChoose this endpoint when you need to fetch and read raw web page content from arbitrary URLs without setting up a browser environment. It is especially useful for AI agents that need to ingest, summarize, or analyze content from specific web pages, and offers a cache discount (70% cheaper) when the same URL has been recently fetched by another user.
| Field | Type | Description |
|---|---|---|
| urls | array | 1-20 URLs to fetch |
| timeout | number | Per-URL timeout in ms |
| maxChars | number | Per-page content character cap (default 20000) |
{
"type": "json",
"example": {
"results": [
{
"url": "https://example.com/article",
"title": "Example Article",
"status": "success",
"content": "# Article...",
"truncated": false
}
],
"summary": {
"total": 1,
"failed": 0,
"successful": 1
},
"fetchedAt": "2026-07-25T12:00:00.000Z",
"requestId": "req_contents123"
}
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