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Point-in-time datasets of prediction-market event probabilities

Point-in-time datasets of prediction-market event probabilities

by jrstewart·Jul 21, 2026·1 point·0 comments
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AI Analysis

●●SolidNiche GemCozy

Immutable snapshots prevent silent restatements in volatile prediction market data.

Strengths
  • •Chain-linking arithmetic files track completed reconstitutions explicitly.
  • •Full published universe includes terminated series to prevent survivorship bias.
  • •Machine-readable citation metadata (CFF) included in every bundle.
Weaknesses
  • •No API for programmatic access, just static 683 KB bundle downloads.
  • •Schema versioning exists but no migration path for older snapshots.
Category
Data
Target Audience

Data scientists, researchers, and journalists analyzing prediction markets

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