SignalHarness Web Metadata Extractor 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).
Extracts structured web metadata (Open Graph, JSON-LD, Twitter cards, robots, icons, content type) from a given URL or raw HTML.
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Returns a JSON object containing extracted structured metadata from the target webpage, including: Open Graph properties, JSON-LD objects, Twitter card tags, robots directives, page icons, content type, alternate language links, and any parsing warnings. Also includes a receipt with payment confirmation, latency, and execution details.
POSThttps://signalharness.ai/api/agent/services/web_metadata_extract/invokeChoose this endpoint when you need to extract all standard web metadata formats (OG, JSON-LD, Twitter cards, robots, icons) from a single URL in one call at very low cost ($0.01 USDC). Prefer it over general scraping tools when the goal is specifically structured SEO/social metadata rather than full page content, and over browser automation when you don't need JavaScript rendering.
| Field | Type | Description |
|---|---|---|
| url | string | |
| html | string | |
| baseUrl | string |
{
"type": "json",
"example": {
"replay": false,
"result": {
"icons": [
{
"href": "example",
"sizes": "example",
"relation": "example"
}
],
"jsonLd": [
"{\"example\":\"schema-valid caller-supplied data\"}"
],
"robots": [
"example"
],
"twitter": [
{
"name": "example",
"value": "example"
}
],
"warnings": [
"Verify the caller-supplied data before relying on this result."
],
"openGraph": [
{
"name": "example",
"value": "example"
}
],
"contentType": "Example caller-supplied content.",
"alternateLanguages": [
{
"href": "example",
"language": "example"
}
]
},
"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": "web_metadata_extract",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "10000",
"resultSha256": "6fd2a8bfad3dba7e59252456d43728a949ecd09f865325d69489315168e8e7ad",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
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