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market-intelligence-researcher

Aggregate Polymarket prediction data and cross-reference news sources into structured intelligence reports.

13|Updated Apr 5, 2026
Search Tags:#risk-analysis#prediction-markets#competitive-intelligence#polymarket#market-intelligence#news-research#signal-triangulation
One-click install
npx skills add https://github.com/sergiocoding96/hermes-multi-agent --skill market-intelligence-researcher
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: market-intelligence-researcher
Source: https://github.com/sergiocoding96/hermes-multi-agent/tree/main/skills/market-intelligence-researcher
Command: npx skills add https://github.com/sergiocoding96/hermes-multi-agent --skill market-intelligence-researcher

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Stakeholders need to understand both what prediction markets expect to happen and what real-world events are occurring for a given topic, but manually cross-referencing disparate market data, news articles, official announcements, and analyst coverage is time-consuming and often misses critical divergences or leading indicators that impact decision-making.

Core Features & Use Cases

  • Prediction Market Analysis: Aggregates active Polymarket markets, including probability odds, trading volume, 7-day price trends, and orderbook depth to measure market conviction and confidence.
  • News & Source Triangulation: Pulls recent news from major outlets, official company announcements, regulatory filings, and industry analyst reports to validate or contradict market signals.
  • Structured Intelligence Reports: Generates standardized, probability-weighted reports with executive summaries, signal alignment/divergence analysis, risk factors, and full source indexing for topics like product launches, regulatory changes, or supply chain developments.
  • Use Case Example: A product manager researching the likelihood of AI regulation passing in 2026 can use this skill to get both the market's probability estimate and the latest legislative news, plus analysis of where the two sources agree or conflict.

Quick Start

Use the market-intelligence-researcher skill to generate a probability-weighted intelligence report on the likelihood of OpenAI releasing GPT-5 in 2026, including recent news coverage and prediction market trend analysis.

Frequently Asked Questions about market-intelligence-researcher

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I combine prediction market odds with news sources for market intelligence?▼

To combine prediction market odds with news for market intelligence, you aggregate Polymarket probability data and cross-reference real-time web news to validate or contradict market signals. This generates structured, source-cited intelligence reports with signal triangulation and risk factor identification.

What is signal triangulation for analyzing prediction market sentiment?▼

Signal triangulation is the process of cross-referencing prediction market probability odds with real-time news, official announcements, and analyst coverage. It identifies whether market sentiment aligns with or contradicts actual real-world events to support data-driven decision-making.

Can I analyze Polymarket trading volume and orderbook depth to measure market conviction?▼

Yes, you can analyze Polymarket trading volume and orderbook depth to quantify market conviction. Aggregating this prediction market data alongside 7-day price trends measures confidence levels for specific event outcomes and leading indicators.

How do I generate probability-weighted intelligence reports for regulatory changes?▼

To generate probability-weighted intelligence reports for regulatory changes, aggregate prediction market odds and cross-reference official regulatory filings with industry analyst reports. This produces structured reports with executive summaries, signal divergence analysis, and full source indexing.

Does prediction market analysis work for tracking product launch probabilities?▼

Yes, prediction market analysis works for tracking product launch probabilities by aggregating Polymarket odds and price history. It validates market expectations against official company announcements and news coverage to deliver source-cited intelligence.

What are the limitations of using prediction market data for competitive intelligence?▼

A limitation of using prediction market data for competitive intelligence is that market signals can diverge from real-world events. Relying solely on odds without triangulating official announcements and analyst coverage risks missing critical risk factors and leading indicators.

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