branddev_brand_ai_query $0.031675 per call

Extract named datapoints from a company site by domain. Define the fields you want — name, description, type and an example each — and get them extracted from the company's own website, with the URLs used (Context.dev · Company data)

For AI agents: call branddev_brand_ai_query
POST https://toll402.dev/v1/p/branddev.brand.ai.query
{
 "domain": "stripe.com",
 "data_to_extract": [
  {
   "datapoint_name": "pricing_model",
   "datapoint_description": "How the company charges customers",
   "datapoint_example": "per-transaction percentage fee",
   "datapoint_type": "text"
  }
 ]
}
Answers 402 with x402 payment requirements; pay with any x402 client (@x402/fetch, x402 for Python, toll402-client, toll402-mcp) or send a prepaid-credits key as x-toll402-key (https://toll402.dev/credits). Paid per call via x402 (USDC on Base) or with a prepaid-credits key (x-toll402-key, card at /credits); charged only on success. Start at /llms.txt or connect the MCP server: npx -y toll402-mcp · remote https://toll402.dev/mcp.

Input schema

{
 "type": "object",
 "properties": {
  "domain": {
   "type": "string",
   "description": "bare domain, no scheme",
   "examples": [
    "stripe.com"
   ]
  },
  "data_to_extract": {
   "type": "string",
   "description": "each item needs ALL FOUR of datapoint_name, datapoint_description, datapoint_example and datapoint_type; datapoint_type is one of text | number | date | boolean | list | url",
   "examples": [
    [
     {
      "datapoint_name": "pricing_model",
      "datapoint_description": "How the company charges customers",
      "datapoint_example": "per-transaction percentage fee",
      "datapoint_type": "text"
     }
    ]
   ]
  },
  "specific_pages": {
   "type": "object",
   "description": "restrict the crawl to named page types instead of letting it pick"
  },
  "timeoutMS": {
   "type": "integer"
  }
 },
 "additionalProperties": true,
 "required": [
  "domain",
  "data_to_extract"
 ],
 "description": "one flat price whatever the number of datapoints, so batch every field you need into one call. The response echoes `urls_analyzed`, which is what makes an answer auditable"
}

MCP

{"mcpServers":{"toll402":{"command":"npx","args":["-y","toll402-mcp"],"env":{"TOLL402_WALLET_KEY":"0x..."}}}}

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