// Blog
Polaris Report Blog
Tutorials, deep dives, and guides for building AI agents with verified intelligence.
Introducing the Polaris CLI — Financial Intelligence From Your Terminal
12 commands. 891 tickers. JSON-first for agents, human-readable when you need it.
Build an Autonomous Trading Agent with Python in 10 Minutes
From zero to a working trading agent that screens tickers, checks sentiment, verifies claims, and sets alerts. Copy-paste Python code with the Polaris SDK.
Best APIs for Algorithmic Trading Agents in 2026
A practical comparison of trading data APIs for AI agents. Prices, sentiment, technicals, screeners, and intelligence — what each API offers and what it costs.
How to Add Sentiment Analysis to Your Trading Bot
Numeric sentiment scores per entity, sentiment history, shift detection, and composite trading signals. Turn headlines into quantitative signals your bot can trade on.
How to Add Real-Time News to Your RAG Pipeline
Most RAG pipelines have a freshness problem. Here's how to add verified, confidence-scored intelligence to your vector database so your agent always has current context.
The Complete Guide to MCP Servers for AI Agents
What MCP servers are, how they work, and which ones are worth connecting. Practical guide for Claude Desktop, Cursor, and any MCP-compatible client.
How Trading Agents Can Pay for Intelligence Autonomously
Your trading agent can now discover, evaluate, and pay for intelligence without human intervention. No API key, no signup, no friction.
How to Add Verified News Intelligence to TradingAgents
Replace raw news feeds in the TradingAgents framework with confidence-scored intelligence from Polaris. Better sentiment data, bias detection, and structured predictions for your trading agents.
Polaris Now Works with Zapier, Make, and n8n
Connect Polaris to 5,000+ apps without writing code. Automate intelligence workflows with triggers for new briefs, watchlist matches, and trending entities.
Introducing /forecast: Structured Predictions for AI Agents
Ask what's likely to happen next. Structured predictions with confidence scores, evidence chains, and falsification criteria — powered by analysis across thousands of verified briefs.
Set Up Intelligent Alerts: Watchlists and Monitors
Watch any entity, topic, or category. Get notified via webhook, email, or in-app when matching intelligence publishes. Agents can create programmatic monitors with callback URLs.
Agent Memory: Your Agent Remembers What It Already Read
Create sessions, mark briefs as read, and get filtered feeds that skip already-consumed content. No more duplicate processing.
How Polaris Became One of the First APIs to Support Stripe's Machine Payments Protocol
Your AI agent can now pay for intelligence autonomously. No signup, no API key, no friction. Agents discover, pay, and get verified intelligence in a single flow.
Your AI Agent Can't Fact-Check. Now It Can.
Every AI agent has the same blind spot: it can retrieve information, but it can't tell you if that information is true. /verify closes that gap.
Introducing /verify: Fact-Check Any Claim with One API Call
Introducing /verify — fact-check any claim against thousands of verified intelligence briefs. Four verdicts: supported, contradicted, partially supported, unverifiable.
Inside the Signal Radar: How We Built a Real-Time Intelligence Command Center
Top signals ranked by confidence, entity relationships mapped, story clusters with cascading effects, source bias visualization, live feed by vertical, and living briefs that get richer over time.
Track Any Entity Across the Intelligence Cycle
14-day mention timelines, automatic trend detection, and peak analysis for any entity across 18 verticals. Built for AI agents and analysts.
Give Claude Desktop Real-Time Intelligence with MCP
Set up real-time world knowledge in Claude Desktop in 60 seconds. Zero-install MCP server with 44 tools for intelligence, trading, market data, and more.
Confidence Scoring: How Polaris Knows What to Trust
Deep dive into how Polaris calculates confidence scores for intelligence briefs. Multi-factor trust assessment for AI agents that need reliable information.
Build a Daily Intelligence Digest Agent with GitHub Actions
Set up an automated daily intelligence briefing agent using GitHub Actions and the Polaris API. Runs free, delivers to Slack every morning.
Same Story, 6 Different Spins: How Outlets Frame the Same Event
We analyzed how major outlets covered the same story. The framing differences are striking — and they matter for AI agents ingesting world events.
How to Add Real-Time World Knowledge to Your LangChain Agent
Step-by-step guide to adding verified intelligence to LangChain agents. Tools, RAG retriever, and trending entity monitoring with confidence scoring.
Why Your AI Agent Needs Bias Detection
Knowledge APIs feed your agent information — but whose perspective? Bias detection catches loaded language, framing differences, and omissions before your agent acts on skewed intelligence.
Get Breaking Intelligence in Your Slack Channel in 2 Minutes
Push verified intelligence briefs to Slack or Discord with Polaris webhooks. Formatted messages with confidence scores, categories, and source counts.
Tavily vs Polaris: Which Knowledge API Should Your AI Agent Use?
Detailed comparison of Tavily and Polaris for AI agents. Confidence scoring, bias detection, pricing, and integration coverage.
Build an Intelligence Agent in 5 Minutes
Go from zero to a working AI intelligence agent with the Polaris Python SDK. Start with a curl command, end with a full briefing function.