LIVE DataLink.ai
Recipe

Evaluate a sponsor bank for a fintech product

How do I compare a bank or financial partner before launching an embedded-finance program?

Build a source-linked partner brief that combines bank financial health, consumer-complaint trends, public-company filings, sanctions, and counterparty risk before you sign a fintech partnership.

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The steps

  1. bank_health_report
    Classify an FDIC-insured institution as HEALTHY, STABLE, WATCH, or FAILED using assets, deposits, profitability, active status, and complaint volume.
  2. cfpb_complaint_trends
    Check the partner's complaint trajectory by product, issue, and date range to surface service or compliance signals.
  3. edgar_company_facts
    Add structured SEC financial facts when the bank, parent, or fintech is a public issuer.
  4. counterparty_risk_score
    Create an explainable cross-source risk score covering sanctions, SEC, courts, EPA, and federal-award signals.

Result: A repeatable sponsor-bank or fintech-partner review with comparable evidence, explicit gaps, and a defensible go / review / stop decision.

Safe example

bank_health_report

{
  "bank": "Example FDIC-insured institution",
  "partnerType": "sponsor bank"
}

Returns a bank-health verdict, complaint trend context, optional issuer facts, and a cross-source risk score. The example is descriptive; authenticated calls retrieve current public data.

This is a fixed documentation example. It makes no API call. The separate anonymous evaluation remains atomically capped at 25 lifetime calls per network; ongoing use requires a metered key.

Open this tool in the metered playground →

Connect from your client

Cursor and bearer-header MCP clients

Add this remote server configuration, replacing YOUR_API_KEY.

{
  "mcpServers": {
    "livedatalink": {
      "url": "https://livedatalink.ai/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}
VS Code / GitHub Copilot

Save as .vscode/mcp.json. VS Code prompts for the key instead of committing it.

{
  "inputs": [
    {
      "id": "livedatalink-key",
      "type": "promptString",
      "description": "LiveDataLink API key",
      "password": true
    }
  ],
  "servers": {
    "livedatalink": {
      "type": "http",
      "url": "https://livedatalink.ai/mcp",
      "headers": {
        "Authorization": "Bearer ${input:livedatalink-key}"
      }
    }
  }
}
OpenAI Responses API

Pass LiveDataLink as a remote MCP tool with an authorization header.

const response = await openai.responses.create({
  model: "gpt-5.6",
  input: "Use LiveDataLink to answer the request.",
  tools: [{
    type: "mcp",
    server_label: "livedatalink",
    server_url: "https://livedatalink.ai/mcp",
    headers: { Authorization: "Bearer YOUR_API_KEY" },
    require_approval: "never"
  }]
});
Claude and Claude Desktop

Claude's current remote-connector flow accepts authless or OAuth servers and does not accept LiveDataLink's API-key header directly. Do not paste the older claude_desktop_config.json remote-URL example. OAuth support is the remaining prerequisite for a native Claude connector.

Raw JSON-RPC smoke test
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "bank_health_report",
    "arguments": {
      "bank": "Example FDIC-insured institution",
      "partnerType": "sponsor bank"
    }
  }
}

Send this body to https://livedatalink.ai/mcp with Authorization: Bearer YOUR_API_KEY.

All 284 tools run under the same key; the free tier gives you 1,000 queries/month with no card.

Related searches: sponsor bank diligence · fintech partner risk · embedded finance compliance · bank health mcp · banking as a service due diligence · fintech kyb.

FAQ

How do I how do i compare a bank or financial partner before launching an embedded-finance program?
Build a source-linked partner brief that combines bank financial health, consumer-complaint trends, public-company filings, sanctions, and counterparty risk before you sign a fintech partnership. In LiveDataLink: bank_health_report → cfpb_complaint_trends → edgar_company_facts → counterparty_risk_score. A repeatable sponsor-bank or fintech-partner review with comparable evidence, explicit gaps, and a defensible go / review / stop decision.
What does this cost?
The free tier includes 1,000 queries/month with no credit card. Every tool in this recipe is callable on the free tier; paid plans start at $10/month for higher volume.
How do I connect?
Add https://livedatalink.ai/mcp as a Streamable-HTTP MCP server with a Bearer key in Claude, Cursor, or n8n, then call the tools in order. Get a free key at https://livedatalink.ai/signup/free.

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