langchain-stackresolve
LangChain tools for StackResolve: web intelligence for AI agents.
Pick software for a task, compare vendors, check whether a product is agent-ready, and pull structured company facts. One tool call instead of a search-and-scrape loop.
pip install langchain-stackresolve
Quickstart
Every tool works without a key, subject to an anonymous rate limit. A free key from stackresolve.dev/developers raises it.
import os
from langchain_stackresolve import StackResolveToolkit
from langchain.agents import create_agent
os.environ["STACKRESOLVE_API_KEY"] = "ar_..." # optional, raises the rate limit
agent = create_agent(
model="claude-sonnet-5",
tools=StackResolveToolkit().get_tools(),
)
result = agent.invoke({
"messages": [{
"role": "user",
"content": "I need to scrape javascript-heavy sites. What should I use, "
"and what does it cost?",
}]
})
print(result["messages"][-1].content)
The agent calls stackresolve_find_tools to get scored candidates, then
stackresolve_get_pricing on the winner. Two calls, structured answers, no scraping.
Single tools
Import only what you need:
from langchain_stackresolve import StackResolveAudit, StackResolveFindTools
audit = StackResolveAudit()
print(audit.invoke({"domain": "stripe.com"}))
find = StackResolveFindTools()
print(find.invoke({"task": "send transactional email from a Node service"}))
Tools
| Tool | What it answers |
|---|---|
stackresolve_find_tools |
"What should I use for this task?" Ranked, with AgentReady scores. |
stackresolve_search_tools |
Registry search filtered on API, MCP, CLI, OpenAPI, or self-serve. |
stackresolve_compare_products |
Side-by-side on scores, capabilities, and pricing. |
stackresolve_audit |
0-100 agent-readiness score for a domain, plus failing checks. |
stackresolve_get_company |
Structured company facts from a domain. |
stackresolve_get_pricing |
Current plans and prices as structured data. |
stackresolve_find_competitors |
Competitors, with how each one differs. |
stackresolve_research_company |
Deep research with sources, answering a question. |
All eight work without a key, subject to an anonymous rate limit. A free key raises the limit and is required for account endpoints (monitors, usage, discovery runs), which this package does not expose.
Configuration
The toolkit and every tool accept api_key and base_url, and otherwise read
STACKRESOLVE_API_KEY and STACKRESOLVE_BASE_URL from the environment.
toolkit = StackResolveToolkit(api_key="ar_...")
Pass an existing SDK client to share connection state:
from stackresolve import StackResolve
client = StackResolve(api_key="ar_...")
tools = StackResolveToolkit(client=client).get_tools()
Errors
Tools return a readable message rather than raising, so a failed call does not end the agent's turn. A missing key, an exhausted allowance, and a rate limit each come back as text the model can act on.
Output size
Tool output is capped at 6,000 characters and marked when truncated, so a large registry
or research payload cannot flood the context window. Change it with
langchain_stackresolve.tools.MAX_CHARS.
Also available
- Hosted MCP server (no install):
https://mcp.stackresolve.dev/mcp - TypeScript SDK and CLI:
npm install stackresolve - Python SDK on its own:
pip install stackresolve - REST API:
https://api.stackresolve.dev, OpenAPI at/openapi.json
License
MIT
1 maintainer
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