Cortexa research tool·genomics·aging_cohort

AgingCohort Search

Search a curated registry of ~30 major longitudinal cohort studies relevant to aging research worldwide. Contains study metadata including design, sample size, age range, variable categories, and data access information. Use to find the right cohort for a specific research question, such as which studies measure iron intake, grip strength, or walking speed in older adults. Filters by country, study design (longitudinal/cross-sectional), minimum sample size, and specific variable availability.

Slowlast probed 2026-05-01 01:00Z· 11089msCortexa

Status

Succeeds, but routinely takes more than 8 seconds. Hidden from the agent's default toolset; available via opt-in.

Note: Latency 11089ms > 8000ms threshold

Last probed: 1d ago
Last success: 1d ago
Last latency: 11089ms

Schema

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

{
  "additionalProperties": false,
  "properties": {
    "country": {
      "description": "Filter by country or region. Examples: 'USA', 'UK', 'China', 'Europe', 'Netherlands'. Case-insensitive substring match.",
      "type": [
        "string",
        "null"
      ]
    },
    "design": {
      "description": "Filter by study design. One of: 'longitudinal', 'cross-sectional', 'both'.",
      "enum": [
        "longitudinal",
        "cross-sectional",
        "both",
        null
      ],
      "type": [
        "string",
        "null"
      ]
    },
    "has_variable": {
      "description": "Filter for cohorts that include a specific variable category. Substring match against variable categories. Examples: 'iron', 'grip_strength', 'walking_speed', 'nutrition', 'cognitive', 'biomarkers', 'genetics'.",
      "type": [
        "string",
        "null"
      ]
    },
    "min_sample_size": {
      "description": "Minimum sample size threshold. Only returns cohorts with sample_size >= this value.",
      "type": [
        "integer",
        "null"
      ]
    },
    "query": {
      "description": "Keyword search across study names, descriptions, variable categories, and topics. Examples: 'iron intake longitudinal', 'grip strength aging Europe', 'biomarkers elderly China'.",
      "type": "string"
    }
  },
  "required": [
    "query"
  ],
  "type": "object"
}

Examples (1)

Default AgingCohort Search call

public-safeinput

{
  "query": "BRCA1"
}

Expected response keys: success

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

Identifiers

Catalog ID: tu_AgingCohort_search
Tool name: AgingCohort_search
Added: 2026-05-01 00:58Z
Tags: tooluniverse

AgingCohort Search

Slowlast probed 2026-05-01 01:00Z· 11089msCortexa

Schema

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

{ "additionalProperties": false, "properties": { "country": { "description": "Filter by country or region. Examples: 'USA', 'UK', 'China', 'Europe', 'Netherlands'. Case-insensitive substring match.", "type": [ "string", "null" ] }, "design": { "description": "Filter by study design. One of: 'longitudinal', 'cross-sectional', 'both'.", "enum": [ "longitudinal", "cross-sectional", "both", null ], "type": [ "string", "null" ] }, "has_variable": { "description": "Filter for cohorts that include a specific variable category. Substring match against variable categories. Examples: 'iron', 'grip_strength', 'walking_speed', 'nutrition', 'cognitive', 'biomarkers', 'genetics'.", "type": [ "string", "null" ] }, "min_sample_size": { "description": "Minimum sample size threshold. Only returns cohorts with sample_size >= this value.", "type": [ "integer", "null" ] }, "query": { "description": "Keyword search across study names, descriptions, variable categories, and topics. Examples: 'iron intake longitudinal', 'grip strength aging Europe', 'biomarkers elderly China'.", "type": "string" } }, "required": [ "query" ], "type": "object" }