Corporate Risk & Scenario Planning

Corporate teams face constant uncertainty — supply chain shocks, regulatory changes, competitive moves, and global events. Prediction Markets API helps companies monitor real-time probabilities for external risks so they can plan earlier, prepare smarter, and avoid surprises.
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Your challenge
Most risk and scenario planning is based on slow reports, fixed quarterly updates, or assumptions that become outdated quickly.

Companies monitor many external risks — regulation, elections, geopolitical shifts, price changes, supply disruptions, competitor outcomes — but the data behind these risks updates too slowly. Teams rely on consultants, surveys, and manual research that often lag behind reality. When expectations change, decision-makers find out too late. Prediction markets react instantly, but corporate teams rarely have an easy way to track this information across multiple venues or tie it directly to business scenarios. As a result, risk teams struggle to understand early signals, update playbooks on time, or communicate changing conditions to leadership.

Biggest Pain Points:

Early warning signals for external risks arrive too late.

Hard to quantify uncertainty around regulation, politics, and global events

No easy way to connect market expectations to internal risk scenarios

Teams rely on static reports instead of live expectation changes

Forecast data isn’t structured for dashboards or automated monitoring

How Does FinFeedAPI Solve it?

How Does FinFeedAPI Solve it?
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Monitor External Risk in Real Time
  • Track probabilities for policy, geopolitical, economic, and industry events
  • See expectation changes the moment new information appearsWatch shifts in trader conviction through spreads and depth
Build Live Scenario Models
  • Connect prediction-market probabilities directly into risk registers
  • Trigger scenario updates based on probability thresholdsModel alternative outcomes using clean market metadata
Spot Early Warning Signs Before They Escalate
  • View intraday OHLCV to see momentum behind expectation shifts
  • Identify sudden risk spikes linked to news or global disruptions
  • Compare sentiment across multiple markets to confirm signals
Align Teams With Quantified Probabilities
  • Replace vague “risk levels” with real probabilities from live markets
  • Give leadership clear visibility into shifting external conditions
  • Use standardized data for consistent reporting across teams
Automate Risk Monitoring Across the Organization
  • Feed probabilities into dashboards, alerts, and internal systems
  • Schedule REST/JSON-RPC pulls for continuous risk tracking
  • Use normalized structures to skip data prep and manual cleanup

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