What your agent can do
Prospecting agent
Take an ICP description, call Margo, and return a formatted lead list in one conversational turn.
Research and outreach agent
Find leads with Margo, research each company, and draft personalised outreach emails.
CRM enrichment agent
Enrich an existing CRM record with Google Maps data, review scores, and verified contact info.
Daily lead brief
Pull new leads every morning, score by website gaps, ratings, and social presence, then send the best prospects to Slack.
Example LangChain tool
from langchain.tools import Tool
import requests
def get_margo_leads(query: str) -> str:
response = requests.post(
"https://www.margoleads.io/api/v1/leads/generate",
headers={"Authorization": "Bearer YOUR_API_KEY"},
json={"keyword": query, "limit": 25}
)
leads = response.json()["leads"]
return f"Found {len(leads)} leads. First result: {leads[0]['businessName']}"
margo_tool = Tool(
name="MargoLeadFinder",
func=get_margo_leads,
description="Find verified local business leads from Google Maps."
)Frequently asked questions
Does Margo expose a LangChain-native tool manifest?
Yes. GET /api/v1/skill returns a machine-readable JSON manifest for automatic tool discovery and parameter parsing.
Which Margo plan gives API access?
The Business plan includes full API access. For development testing, contact support for sandbox access.
Can I use Margo with LangGraph?
Yes. Margo is a standard HTTP tool and works with LangChain-compatible frameworks including LangGraph and custom agents.