// Infrastructure

Not a search API.
A trust layer.

Search APIs give your agent links to parse. Data vendors give it numbers to crunch. Polaris gives it verified intelligence with confidence scoring, source provenance, and counter-arguments — structured for immediate action.

// How It Works

Ingest

Premium sources monitored continuously. Our pipeline identifies, clusters, and ranks emerging stories across every domain.

Verify

Every claim is cross-referenced against multiple sources. Contradictions are flagged. Confidence scores are calculated from source agreement.

Score

Bias detection, sentiment analysis, entity extraction, and source provenance are applied. Counter-arguments are generated automatically.

Deliver

Structured JSON via REST API, SSE streaming, or MCP. Only verified intelligence with full provenance reaches your agent.

// Why Not a Search API

Your agent doesn't need links.
It needs verdicts.

Tavily and Exa give your agent search results — ranked pages your agent still has to read, parse, and evaluate. That's retrieval, not intelligence.

Polaris gives your agent a structured verdict with confidence scoring, source verification, bias detection, and counter-arguments. Your agent gets knowledge it can trust — not documents it has to interpret.

Search / Retrieval API

→ 10 ranked URLs

→ Raw content to parse

→ No confidence metadata

→ No bias detection

→ No counter-arguments

→ Your agent guesses what to trust

Polaris Trust Layer

→ Structured verdict with confidence

→ Verified: 0.87 confidence

→ Bias: 0.2 (near-neutral)

→ 12 corroborating sources

→ Counter-argument included

→ Your agent knows what to trust

// Every Response Includes

Confidence Score

0.0 to 1.0 based on source agreement, recency, and corroboration depth.

Source Provenance

Full chain of sources with individual reliability scores and bias profiles.

Bias Detection

Political lean, framing analysis, loaded language detection, and outlet diversity score.

Counter-Arguments

Automatically generated opposing perspectives so your agent sees the full picture.

// How We Compare

Retrieval is not intelligence.

Search APIs find documents. Polaris delivers verified intelligence your agent can act on without further processing.

Capability	Polaris	Tavily	Exa
Returns	Structured verdicts	Search results	Semantic results
Claim verification	Built-in /verify	None	None
Confidence score	0-1.0 per response	None	Relevance score
Bias detection	Score + framing analysis	None	None
Counter-arguments	Auto-generated	None	None
Source provenance	Full chain + reliability	URLs only	URLs only
Sentiment analysis	-1.0 to +1.0 per entity	None	None
Financial data	58+ endpoints	None	None
Technical indicators	20 with buy/sell signals	None	None
Investment reports	15-agent pipeline	None	None
MCP server	52 tools	None	None
LangChain / CrewAI	40 tools each	LangChain only	None
Real-time streaming	SSE by ticker/topic	None	None
Machine Payments	Stripe MPP	None	None
Free tier	1,000 credits/mo	1,000 calls/mo	1,000 calls/mo

Tavily / Exa Response

{
  "results": [
    {
      "url": "https://reuters.com/tech/nvidia...",
      "title": "Nvidia reports record quarter",
      "content": "Nvidia Corp reported revenue of...",
      "score": 0.94
    },
    {
      "url": "https://cnbc.com/nvidia-gpu...",
      "title": "GPU demand surges amid AI boom",
      "content": "The chipmaker said datacenter...",
      "score": 0.89
    }
  ]
}

// Your agent still has to:
// → Read and parse each result
// → Decide what to trust
// → Extract structured data
// → Check for contradictions
// → Form its own verdict

Polaris Response

{
  "verdict": "supported",
  "confidence": 0.87,
  "summary": "NVDA GPU demand confirmed by...",
  "evidence": [
    "Roche AI partnership ($RHHBY)",
    "Micron demand data confirms",
    "TSMC yield reports align"
  ],
  "counter_argument": "YoY growth rate
    decelerating from 427% to 73%",
  "bias_score": 0.2,
  "sources_checked": 12,
  "sentiment": 0.72,
  "tickers": ["NVDA", "RHHBY", "MU"]
}

// Your agent gets:
// → A verdict it can act on
// → Confidence it can threshold
// → Counter-arguments for risk
// → Already structured for trading

// Use Cases

📊

Trading Agents

Your agent hears an earnings rumor. Instead of scraping 10 articles and guessing, it calls /verify and gets a verdict with confidence scoring in one API call. Then it checks /ticker/NVDA/full for the complete picture before acting.

Sentiment + signals + verification

🔗

RAG Pipelines

Your RAG pipeline needs sourced facts, not web pages to chunk. Polaris returns structured intelligence with provenance metadata on every claim. Feed it directly into your vector store — confidence scores become embedding weights.

Structured data + provenance + confidence

🔍

Research Agents

Your research agent needs to present balanced analysis. Polaris detects bias in every source, generates counter-arguments automatically, and flags contradictions across outlets. The agent delivers nuance, not echo chambers.

Bias detection + counter-arguments + balance

// Starting Vertical

Financial intelligence. Expanding everywhere.

We're building the trust layer one vertical at a time. Finance is first because the stakes are highest — a trading agent acting on unverified intelligence can lose real money. If we can get finance right, every other domain follows.

889 Tickers200 Crypto7 Forex Pairs20 Technical IndicatorsNLP ScreenerInsider TradesSEC FilingsAnalyst RatingsCongressional Trades13F HoldingsInvestment ReportsStrategy Backtesting