SignalHarness URL to Markdown Converter is a paid API for AI agents from signalharness.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Fetches a webpage at a given HTTPS URL and returns its content as clean Markdown text
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A JSON object containing the page's full content as a markdown string, a SHA-256 hash of the content, the byte count, the original source URL, the detected content type, and receipt/execution metadata including payment confirmation, latency, and request IDs.
POSThttps://signalharness.ai/api/agent/services/url_to_markdown/invokeChoose this endpoint when you need to programmatically fetch and convert a specific HTTPS webpage into markdown for downstream processing, summarization, or storage. It includes content hashing for integrity verification, making it suitable for pipelines that need to detect content changes. Prefer this over generic scraping tools when you want structured receipt and audit metadata alongside the conversion result, or when operating in an agent environment that uses x402 micropayment flows.
| Field | Type | Description |
|---|---|---|
| url | string |
{
"type": "json",
"example": {
"replay": false,
"result": {
"sha256": "0000000000000000000000000000000000000000000000000000000000000000",
"markdown": "# Example\n\nNormalized caller-supplied content.",
"byteCount": 0,
"sourceUrl": "example00",
"contentType": "Example caller-supplied content."
},
"status": "succeeded",
"receipt": {
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"usage": [],
"status": "succeeded",
"network": "eip155:8453",
"artifacts": [],
"endedAtMs": 0,
"latencyMs": 0,
"paymentId": "example-payment",
"receiptId": "example-receipt",
"requestId": "example-request",
"serviceId": "url_to_markdown",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "10000",
"resultSha256": "2f59a0da362f08e2f8b705176bdec894ca8b0bfb34c2a8d4e03e9925b731cd7f",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
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