LangChain tools for Overloop CLI and Signals CLI. Build AI SDR agents that source prospects from 450M+ contacts and monitor buying intent signals.
pip install langchain-overloopInstall and authenticate the CLIs:
npm install -g overloop-cli signals-sortlist-cli
overloop login
signals login| Tool | What it does |
|---|---|
OverloopProspectSearch |
Search 450M+ contacts by job title, location, company size |
OverloopCampaignEnroll |
Enroll contacts into an outbound campaign |
SignalsLeadList |
Get latest intent signal leads (LinkedIn engagers, keyword posters, job changers) |
SignalsLeadExport |
Export signal leads as JSON for enrichment or enrollment |
from langchain_overloop import OverloopProspectSearch, SignalsLeadList
tools = [OverloopProspectSearch(), SignalsLeadList()]
# Use with any LangChain agent
from langchain.agents import initialize_agent
from langchain_openai import ChatOpenAI
llm = ChatOpenAI(model="gpt-4o")
agent = initialize_agent(tools, llm, agent="openai-tools", verbose=True)
agent.invoke("Find 50 marketing directors in France at companies with 50-200 employees")Input: JSON string with search criteria.
tool = OverloopProspectSearch()
result = tool.invoke('{"job_titles": ["Marketing Director"], "locations": ["France"], "company_sizes": ["50-200"]}')Input: business ID (defaults to "1") and page size.
tool = SignalsLeadList()
result = tool.invoke({"business_id": "1", "per_page": 20})Enroll contacts into a campaign by ID.
tool = OverloopCampaignEnroll()
result = tool.invoke({"campaign_id": "camp_123", "contact_ids": "ct_1,ct_2,ct_3"})Export leads filtered by signal type.
tool = SignalsLeadExport()
result = tool.invoke({"business_id": "1", "signal_type": "job_changers"})MIT