Cortexa research tool·drug discovery·faers_analytics

FAERS Stratify By Demographics

Stratify adverse event reports by demographics (sex, age group, country). Returns counts and percentages by demographic group. Example: ibuprofen + GI bleeding stratified by sex → Female: 60%, Male: 40%. Use for subpopulation risk assessment.

Livelast probed 2026-04-30 23:07Z· 118msCortexa

Status

The most recent probe succeeded. Safe to call from the agent today.

Last probed: 1d ago
Last success: 1d ago
Last latency: 118ms

Schema

JSON Schema the agent (or your API call) must match.

{
  "properties": {
    "adverse_event": {
      "description": "MedDRA Preferred Term. Use exact MedDRA Preferred Term capitalization (e.g., \"Haemorrhage\" not \"hemorrhage\").",
      "type": "string"
    },
    "demographic": {
      "description": "Alias for stratify_by. Demographic dimension to stratify by (sex, age, or country).",
      "enum": [
        "sex",
        "age",
        "country"
      ],
      "type": "string"
    },
    "drug": {
      "description": "Alias for drug_name. Generic drug name.",
      "type": "string"
    },
    "drug_name": {
      "description": "Generic drug name",
      "type": "string"
    },
    "operation": {
      "const": "stratify_by_demographics",
      "description": "Operation type (fixed)"
    },
    "reaction": {
      "description": "Alias for adverse_event. MedDRA Preferred Term for the adverse drug reaction (e.g., \"hemorrhage\", \"nausea\").",
      "type": "string"
    },
    "stratify_by": {
      "default": "sex",
      "description": "Demographic dimension to stratify by. Use \"sex\", \"age\", or \"country\" (\"age_group\" is also accepted as alias for \"age\").",
      "enum": [
        "sex",
        "age",
        "country"
      ],
      "type": "string"
    }
  },
  "required": [],
  "type": "object"
}

Examples (1)

Default FAERS Stratify By Demographics call

public-safeinput

{}

Expected response keys: success

Anonymous-safe example. Rate-limited; no sign-in required.

Identifiers

Catalog ID: tu_FAERS_stratify_by_demographics
Tool name: FAERS_stratify_by_demographics
Added: 2026-04-30 22:47Z
Tags: tooluniverse

Schema

JSON Schema the agent (or your API call) must match.

{ "properties": { "adverse_event": { "description": "MedDRA Preferred Term. Use exact MedDRA Preferred Term capitalization (e.g., \"Haemorrhage\" not \"hemorrhage\").", "type": "string" }, "demographic": { "description": "Alias for stratify_by. Demographic dimension to stratify by (sex, age, or country).", "enum": [ "sex", "age", "country" ], "type": "string" }, "drug": { "description": "Alias for drug_name. Generic drug name.", "type": "string" }, "drug_name": { "description": "Generic drug name", "type": "string" }, "operation": { "const": "stratify_by_demographics", "description": "Operation type (fixed)" }, "reaction": { "description": "Alias for adverse_event. MedDRA Preferred Term for the adverse drug reaction (e.g., \"hemorrhage\", \"nausea\").", "type": "string" }, "stratify_by": { "default": "sex", "description": "Demographic dimension to stratify by. Use \"sex\", \"age\", or \"country\" (\"age_group\" is also accepted as alias for \"age\").", "enum": [ "sex", "age", "country" ], "type": "string" } }, "required": [], "type": "object" }