Johto Data API – Web Page Reader (/v1/read) is a paid API for AI agents from johto-x402-api.johtodata.workers.dev, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-28).
Fetches a single HTTP/HTTPS URL and returns its content as clean Markdown text, with metadata like title, status code, content hash, and token estimates.
Valuable data. Quality leads. Paid per call in USDC on Base via x402. Not charged if the fetch fails or nothing matches. Prices per call (USDC): /v1/jp-invoice-check $0.002; /v1/sec-13f $0.003; /v1/sec-8k $0.003; /v1/sanctions-screen $0.0025; /v1/tenders $0.011; /v1/uk-tenders $0.003; /v1/fr-tenders $0.006; /v1/au-contracts $0.0035; /v1/wallet-risk $0.0025; /v1/kyb $0.0029; /v1/read $0.0019; /v1/crawl $0.0045; /v1/jobs $0.01; /v1/domain-profile $0.003.
Returns a JSON object with: the fetched URL, page title, HTTP status code (e.g. 200), full page content converted to Markdown (up to max_chars), a content hash for deduplication/caching, and estimated token counts (for the returned content and the full original). Row count is 1 on success.
GEThttps://johto-x402-api.johtodata.workers.dev/v1/read?utm_source=zero.xyzChoose this endpoint when you need to fetch and read the readable text content of a single web page as Markdown, especially when you want clean, LLM-friendly output with token estimates and a content hash. Preferred over general crawlers when you want pay-per-success pricing (no charge on failure), micropayment via USDC on Base (x402), and don't need multi-page or recursive crawling (use /v1/crawl for that). Ideal for research agents, content pipelines, and monitoring workflows that need ad-hoc page reads.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"data": {
"url": "https://example.com/",
"title": "Example Domain",
"status": 200,
"markdown": "This domain is for use in documentation examples without needing permission. This is not a service; avoid relying on it for testing and monitoring purposes.",
"contentHash": "0a080719be9fbb82",
"tokensEstimate": 39,
"tokensEstimateFull": 39
},
"rows": 1
}
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