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Description
Tool Request
Package: polaris-news (PyPI)
Package (CrewAI wrapper): crewai-polaris (PyPI)
What it does
The Polaris Report provides AI-verified news intelligence across 18 verticals (tech, AI/ML, markets, crypto, policy, science, health, etc.). Three tools for CrewAI agents:
| Tool | Description |
|---|---|
| PolarisSearchTool | Search verified news briefs with confidence scores, bias ratings, and source attribution |
| PolarisVerifyTool | Fact-check claims against the verified news corpus — returns verdicts (supported/contradicted/partially_supported/unverifiable) with evidence |
| PolarisTrendingTool | Get trending entities (people, companies, topics) from current coverage |
Why it's useful
- Every result includes confidence scores and bias ratings — agents can reason about source reliability
- Fact-checking built in — verify claims before acting on them
- 18 news verticals with counter-arguments and source attribution
- Free tier available,
demokey for quick testing
Installation
pip install crewai-polaris
# or
pip install polaris-news # lower-level clientExample
from crewai import Agent, Task, Crew
from crewai_polaris import PolarisSearchTool, PolarisVerifyTool
search = PolarisSearchTool(api_key="demo")
verify = PolarisVerifyTool(api_key="demo")
researcher = Agent(
role="News Analyst",
goal="Research and verify current news stories",
tools=[search, verify],
)
task = Task(
description="Find top AI stories this week and verify any major claims.",
expected_output="A verified briefing with fact-checked claims.",
agent=researcher,
)
crew = Crew(agents=[researcher], tasks=[task])
result = crew.kickoff()Implementation
I have a complete implementation following the BaseTool pattern with EnvVar, args_schema, package_dependencies, and README ready to submit as a PR. The crewAI-tools repo is archived — happy to submit to lib/crewai-tools in this repo if that's where new tools go now.
Links:
- API docs: https://thepolarisreport.com/docs
- Source: https://github.com/JohnnyTarrr/polaris-sdks
- LangChain integration: https://pypi.org/project/langchain-polaris/
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