Analysis, tutorials, and news from the PredictingAPI team.
Raw prediction market data tells you probabilities, but not context. When a market shows 73% odds for an event, what does that actually mean? Without metadata—severity scores, category classification, actor identification, and regional impact analysis—you're trading blind. We built PredictingAPI to solve this problem by enriching every market with 160+ structured data fields using AI classification.
Read moreNot all prediction markets carry equal weight. A market about a local policy change scores differently than one tracking potential nuclear escalation. Our severity scoring system uses a 0-100 scale calibrated across three dimensions: casualties potential, economic impact, and global significance. This post breaks down how we calculate severity and why it matters for risk assessment.
Read moreTraditional API pricing forces you to commit to monthly subscriptions before you know if the data fits your needs. With x402, you pay per query using USDC on Solana. No API keys, no subscriptions, no sign-up required. Just send a payment and get data. This post explains how the x402 protocol works and why we chose micropayments over traditional billing.
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