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Cortexa research tool·drug discovery·faers_analytics
FAERS Calculate Disproportionality
Calculate statistical disproportionality measures (ROR, PRR, IC) with 95% CI for drug-event pairs. Returns signal strength classification. Example: drug='ibuprofen', event='hepatotoxicity' → ROR=2.3 [1.8-2.9]. Use for pharmacovigilance signal detection.
Livelast probed 2026-04-30 23:07Z· 128msCortexa
Status
The most recent probe succeeded. Safe to call from the agent today.
- Last probed
- 1d ago
- Last success
- 1d ago
- Last latency
- 128ms
Schema
JSON Schema the agent (or your API call) must match.
{
"properties": {
"adverse_event": {
"description": "MedDRA Preferred Term (e.g., 'Hepatotoxicity', 'Myopathy'). Use exact MedDRA Preferred Term capitalization (e.g., \"Haemorrhage\" not \"hemorrhage\").",
"type": "string"
},
"drug": {
"description": "Alias for drug_name. Generic drug name.",
"type": "string"
},
"drug_name": {
"description": "Generic drug name (e.g., 'IBUPROFEN', 'ATORVASTATIN')",
"type": "string"
},
"operation": {
"const": "calculate_disproportionality",
"description": "Operation type (fixed)"
},
"reaction": {
"description": "Alias for adverse_event. MedDRA Preferred Term for the adverse drug reaction.",
"type": "string"
}
},
"required": [],
"type": "object"
}Examples (1)
Default FAERS Calculate Disproportionality call
public-safeinput
{}Expected response keys: success
Anonymous-safe example. Rate-limited; no sign-in required.
Identifiers
- Catalog ID
- tu_FAERS_calculate_disproportionality
- Tool name
- FAERS_calculate_disproportionality
- Added
- 2026-04-30 22:47Z
- Tags
- tooluniverse