crewai-stackresolve
CrewAI tools for StackResolve: web intelligence for AI agents.
Choose software for a task, compare vendors, audit agent-readiness, and pull structured company facts. One tool call instead of a search-and-scrape loop.
pip install crewai-stackresolve
Quickstart
from crewai import Agent, Task, Crew
from crewai_stackresolve import stackresolve_tools
analyst = Agent(
role="Tooling analyst",
goal="Pick the right software for a task and justify the cost",
backstory="You evaluate vendors on agent-readiness, not marketing copy.",
tools=stackresolve_tools(),
)
task = Task(
description="We need to scrape javascript-heavy sites. Recommend a tool and its cost.",
expected_output="A recommendation with the AgentReady score and current pricing.",
agent=analyst,
)
print(Crew(agents=[analyst], tasks=[task]).kickoff())
Tools
Find software for a task, Search the software registry, Compare products, Audit agent readiness, Get company facts, Get company pricing, Find competitors, Research a company.
All of them work without a key, subject to an anonymous rate limit. A free key from stackresolve.dev/developers raises it:
stackresolve_tools(api_key="ar_...") # or set STACKRESOLVE_API_KEY
Import a single tool if you do not want the whole set:
from crewai_stackresolve import StackResolveAudit
agent = Agent(role="Auditor", tools=[StackResolveAudit()])
Behavior worth knowing
Tools return readable text on failure rather than raising, so a timeout or an exhausted allowance does not end the crew's run. Output is capped at 6,000 characters and stays valid JSON when truncated.
Also available
Hosted MCP server: https://mcp.stackresolve.dev/mcp. LangChain: pip install langchain-stackresolve. LlamaIndex: pip install llama-index-tools-stackresolve.
TypeScript: npm install stackresolve.
License
MIT
1 maintainer
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