{"schema_version":"v1","name_for_human":"Disco","name_for_model":"discovery_engine","description_for_human":"Find novel, statistically validated patterns in tabular data that correlation analysis and LLMs miss.","description_for_model":"Disco is a pattern discovery pipeline for tabular data. It finds feature interactions, subgroup effects, and conditional relationships without requiring prior hypotheses, validates each on hold-out data with FDR-corrected p-values, and checks novelty against academic literature with citations. Use this when you need to find patterns nobody thought to look for. Do NOT use this for summary statistics, visualization, or SQL queries.","auth":{"type":"service_http","authorization_type":"bearer","verification_tokens":{}},"api":{"type":"openapi","url":"https://disco.leap-labs.com/.well-known/openapi.json"},"logo_url":"https://disco.leap-labs.com/icon.svg","contact_email":"jessica@leap-labs.com","legal_info_url":"https://leap-labs.com"}