GET /feeds/similar-markets

Semantic market discovery by text query. Embeds arbitrary text (for example, an open market question) and returns the closest resolved instance from each distinct market template via pgvector cosine search. Results are automatically isolated to the domain of the closest match (crypto, commodity, equity, forex, aviation, environment, space, maritime, and so on), so financial markets are never mixed with flights, pollution or unrelated domains. Embeddings include title, asset, market type, duration, and available sentiment/news; the resolved outcome is deliberately excluded from the embedding to prevent answer leakage. winnerLabel is the outcome of the representative returned instance, not a historical probability. Use ?domain, ?coin and ?kind for explicit comparability, or /feeds/similar-markets/outcome-stats for an aggregated historical outcome distribution.