fundzwatch 1.0.2

Python SDK for FundzWatch.ai - Real-time business event intelligence for AI agents

FundzWatch Python SDK

Real-time business event intelligence for AI agents and sales teams.

pip install fundzwatch

Quick Start

from fundzwatch import FundzWatch

fw = FundzWatch(api_key="fundz_test_...")  # or set FUNDZWATCH_API_KEY env var

# Get AI-scored leads matched to your ICP
leads = fw.get_leads(min_score=60, max_results=10)
for lead in leads["signals"]:
    print(f"{lead['company_name']}: {lead['score']}/100 - {lead['outreach_angle']}")

# Get real-time funding events
events = fw.get_events(types="funding", days=7)
for event in events["events"]:
    print(f"[{event['type']}] {event['title']}")

# Track companies and get their events
fw.add_to_watchlist(["stripe.com", "github.com", "openai.com"])
watchlist_events = fw.get_watchlist_events(days=30)

# Market intelligence
pulse = fw.get_market_pulse()
brief = fw.get_market_brief()

Use with CrewAI

pip install fundzwatch[crewai]

from fundzwatch import FundzWatch
from fundzwatch.tools.crewai import get_fundzwatch_tools
from crewai import Agent, Task, Crew

fw = FundzWatch()
tools = get_fundzwatch_tools(fw)

researcher = Agent(
    role="Sales Intelligence Analyst",
    goal="Find high-intent companies that match our ICP",
    backstory="You analyze business events to find sales opportunities.",
    tools=tools,
)

task = Task(
    description="Find the top 10 companies most likely to buy our product right now. "
    "Focus on companies with recent funding or leadership changes and a score above 60.",
    expected_output="A ranked list of companies with scores, buying stages, and outreach angles.",
    agent=researcher,
)

crew = Crew(agents=[researcher], tasks=[task])
result = crew.kickoff()

Use with LangChain

pip install fundzwatch[langchain]

from fundzwatch import FundzWatch
from fundzwatch.tools.langchain import get_fundzwatch_tools
from langchain_anthropic import ChatAnthropic
from langchain.agents import create_tool_calling_agent, AgentExecutor
from langchain_core.prompts import ChatPromptTemplate

fw = FundzWatch()
tools = get_fundzwatch_tools(fw)
llm = ChatAnthropic(model="claude-sonnet-4-20250514")

prompt = ChatPromptTemplate.from_messages([
    ("system", "You are a sales intelligence analyst with access to real-time business events."),
    ("human", "{input}"),
    ("placeholder", "{agent_scratchpad}"),
])

agent = create_tool_calling_agent(llm, tools, prompt)
executor = AgentExecutor(agent=agent, tools=tools)
result = executor.invoke({"input": "Find funded healthtech companies this week"})

API Reference

FundzWatch(api_key=None, base_url=None, timeout=30.0)

Initialize the client. API key falls back to FUNDZWATCH_API_KEY env var.

Methods

Method	Description
get_leads(min_score, max_results, buying_stages, industries)	AI-scored leads
get_events(types, days, limit, offset, industries, locations)	Business events
get_market_pulse()	Market activity overview
get_market_brief()	AI strategic intelligence brief
get_watchlist()	List tracked companies
add_to_watchlist(domains)	Track companies
remove_from_watchlist(domains)	Untrack companies
get_watchlist_events(days, types)	Events for tracked companies
get_usage()	API usage and limits

Get a Free API Key

Sign up at fundzwatch.ai/onboarding -- no credit card required.

License

MIT