QUICKSTART

Your first skill call in 3 steps

Get an API key, find a skill, call it. That's it.

1

Get an API key

Create a free account, then generate a key from your dashboard.

Your key looks like as_k_abc123... — copy it, you'll only see it once.

2

Find a skill

Search by what you need in plain English. Semantic search handles the rest.

const res = await fetch("https://api.agentsource.co/v1/agent/search?q=extract+pdf+tables", {
  headers: { "X-API-Key": "as_k_YOUR_KEY" },
});
const { data } = await res.json();
console.log(data[0].name);  // "PDF Table Extractor"
See response
response
{
  "data": [
    {
      "slug": "pdf-table-extractor",
      "name": "PDF Table Extractor",
      "short_description": "Extract structured tables from PDF documents",
      "trust": { "score": 92, "total_calls": 14280 },
      "tool_count": 3
    }
  ]
}
3

Call it

Send a JSON-RPC request through the MCP proxy. Your agent now has a new superpower.

const result = await fetch("https://proxy.agentsource.co/v1/mcp/pdf-table-extractor", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "X-API-Key": "as_k_YOUR_KEY",
  },
  body: JSON.stringify({
    jsonrpc: "2.0",
    id: 1,
    method: "tools/call",
    params: {
      name: "extract_tables",
      arguments: { url: "https://example.com/report.pdf" },
    },
  }),
});
const { result: tables } = await result.json();
console.log(tables);  // [{ headers: [...], rows: [...] }]
See response
response
{
  "jsonrpc": "2.0",
  "id": 1,
  "result": {
    "content": [
      {
        "type": "text",
        "text": "[{\"headers\": [\"Quarter\", \"Revenue\", \"Growth\"], \"rows\": [[\"Q1\", \"$2.4M\", \"12%\"], [\"Q2\", \"$2.8M\", \"17%\"]]}]"
      }
    ]
  }
}