Integration

Social Intel API + LangChain

Search Instagram influencers and get business emails using LangChain. Full setup guide with code examples.

Quick Setup

  1. Create a LangChain tool wrapping the Social Intel API
  2. Handle x402 payment in the tool or use the MCP server instead
  3. Add the tool to your agent's tool list
  4. The agent can now search influencers as part of its reasoning chain

Code Example

from langchain.tools import tool
import httpx

@tool
def search_influencers(query: str, country: str = "United States") -> str:
    """Search Instagram influencers by niche keyword and country.
    Returns profiles with business emails."""
    response = httpx.get(
        "https://socialintel.dev/v1/search",
        params={"query": query, "country": country, "limit": 20},
        # x402 payment handled by middleware
    )
    return response.json()

# Add to your agent:
from langchain.agents import initialize_agent
agent = initialize_agent(
    tools=[search_influencers],
    llm=llm,
    agent="zero-shot-react-description",
)

What You Get Back

Each search returns up to 100 Instagram profiles with:

Pricing

$0.10 per search (20 results). Up to 100 results for $0.26. Paid in USDC via x402 protocol — no API keys, no subscription.

Also Available via MCP

Social Intel also offers an MCP (Model Context Protocol) server for AI agent integration:

npx -y social-intel-mcp

The MCP server exposes a search_leads tool that AI agents (Claude, Cursor, etc.) can call directly.

Start Building with LangChain

$0.10/search. No signup. Full LangChain code example above.

View API Docs →

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