Sc Lead Discovery Result

Immutable Catalog Entry

This descriptor comes from the active versioned Portal catalog.

READscrape-creators.sc_lead_discovery_result

• Contract tier: agent_ready
• Risk: read
• Catalog version: scrape-creators-2026.07.12.1
• Descriptor hash: 9619ccf03c0ebdf8655dd2a0e0a601d6c6ddba6dadeb96564c52db4e38df61b6

Use this to fetch paginated, sheet-ready lead-discovery rows by job_id. Set include_csv=true when another agent needs CSV text for a spreadsheet import.

Request Body

{
  "jsonrpc": "2.0",
  "id": "scrape-creators-sc-lead-discovery-result-example",
  "method": "tools/call",
  "params": {
    "name": "scrape-creators.sc_lead_discovery_result",
    "arguments": {
      "job_id": "job_id_123",
      "limit": 1,
      "offset": 1,
      "include_csv": false
    }
  }
}

Arguments Schema

{
  "type": "object",
  "required": [
    "job_id"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "title": "Limit",
      "default": 100,
      "description": "Maximum number of matching rows to return within the documented server bound."
    },
    "job_id": {
      "type": "string",
      "title": "Job Id",
      "description": "Opaque job identifier returned by the matching submit operation."
    },
    "offset": {
      "type": "integer",
      "title": "Offset",
      "default": 0,
      "description": "Zero-based result offset used for deterministic pagination."
    },
    "include_csv": {
      "type": "boolean",
      "title": "Include Csv",
      "default": false,
      "description": "When true, also returns CSV text for the bounded result page."
    }
  },
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "required": [
    "ok",
    "data",
    "error",
    "meta"
  ],
  "properties": {
    "ok": {
      "type": "boolean",
      "description": "Whether the local or provider operation completed successfully."
    },
    "data": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "array",
          "items": {}
        },
        {
          "type": "string"
        },
        {
          "type": "number"
        },
        {
          "type": "boolean"
        },
        {
          "type": "null"
        }
      ],
      "description": "Bounded operation result when ok is true."
    },
    "meta": {
      "type": "object",
      "description": "Safe request, pagination, cache, and timing metadata.",
      "additionalProperties": true
    },
    "error": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "description": "Safe structured error when ok is false."
    }
  },
  "description": "Scrape Creators MCP normalized response envelope.",
  "additionalProperties": false
}

Code Examples

cURL

curl -X POST 'https://portal.madpanda3d.com/api/mcp' \
  -H 'Authorization: Bearer mad_live_***' \
  -H 'Content-Type: application/json' \
  -d '{
  "jsonrpc": "2.0",
  "id": "scrape-creators-sc-lead-discovery-result-example",
  "method": "tools/call",
  "params": {
    "name": "scrape-creators.sc_lead_discovery_result",
    "arguments": {
      "job_id": "job_id_123",
      "limit": 1,
      "offset": 1,
      "include_csv": false
    }
  }
}'

Node.js

const response = await fetch('https://portal.madpanda3d.com/api/mcp', {
  method: 'POST',
  headers: {
    Authorization: 'Bearer mad_live_***',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
  "jsonrpc": "2.0",
  "id": "scrape-creators-sc-lead-discovery-result-example",
  "method": "tools/call",
  "params": {
    "name": "scrape-creators.sc_lead_discovery_result",
    "arguments": {
      "job_id": "job_id_123",
      "limit": 1,
      "offset": 1,
      "include_csv": false
    }
  }
}),
});
const data = await response.json();
console.log(data);

Python

import requests

url = 'https://portal.madpanda3d.com/api/mcp'
headers = {
    'Authorization': 'Bearer mad_live_***',
    'Content-Type': 'application/json',
}
payload = {
  "jsonrpc": "2.0",
  "id": "scrape-creators-sc-lead-discovery-result-example",
  "method": "tools/call",
  "params": {
    "name": "scrape-creators.sc_lead_discovery_result",
    "arguments": {
      "job_id": "job_id_123",
      "limit": 1,
      "offset": 1,
      "include_csv": false
    }
  }
}
response = requests.post(url, headers=headers, json=payload, timeout=60)
print(response.json())

Example Responses

200 Success

{
  "ok": true,
  "message": "Tool scrape-creators.sc_lead_discovery_result executed successfully.",
  "note": "Response shape varies by MCP tool. Inspect live responses for exact fields."
}

502 Upstream Error

{
  "ok": false,
  "classification": "upstream_http_error",
  "message": "Upstream MCP returned a non-success status."
}