Polaris is the context layer for world knowledge.
Built an API that converts global news into structured intelligence for AI agents.
The problem: AI agents that need to understand the world are scraping CNN and parsing HTML. They get paywalls, unstructured text, opinions mixed with facts, and zero metadata about trust or bias.
Polaris transforms 160+ news sources into structured JSON signals with:
Confidence scores (0-1) so agents can filter by reliability
Bias scoring verified
Adversarial counter-arguments on every brief
Source verification with trust levels
18 verticals: markets, crypto, AI/ML, cybersecurity, politics, space, sports, etc.
Polaris is the context layer for world knowledge. Built an API that converts global news into structured intelligence for AI agents.
The problem: AI agents that need to understand the world are scraping CNN and parsing HTML. They get paywalls, unstructured text, opinions mixed with facts, and zero metadata about trust or bias.
Polaris transforms 160+ news sources into structured JSON signals with:
Confidence scores (0-1) so agents can filter by reliability Bias scoring verified Adversarial counter-arguments on every brief Source verification with trust levels
18 verticals: markets, crypto, AI/ML, cybersecurity, politics, space, sports, etc.
Free tier: 100 API calls/day, no key needed: curl https://api.thepolarisreport.com/api/v1/agent-feed
Or install our OpenClaw skill: clawhub install polaris-report https://thepolarisreport.com
Would love feedback on the API design and the bias detection approach. Thanks!
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