Global Health & Public Health Data by Apoth3osis

Name: Global Health & Public Health Data
Brand: Apoth3osis
SKU: 6980d5d271cad8f61bf5b1ad
Price: 0.10 USD
Availability: InStock

Global Health & Public Health Data

Data

Available ActionsEach successful request consumes credits as outlined below.

query_health_data^10cr

Details

Explore health and public health data for any country in the world. Look up life expectancy, mortality rates, immunization coverage, health expenditure, infectious disease prevalence, and demographic health indicators. Compare health outcomes across countries, benchmark against WHO targets, and track progress on global health goals — all from a comprehensive global data set.

Use Cases

Research life expectancy by country, Compare infant and child mortality rates across regions, Track immunization coverage trends, Analyze health expenditure as percentage of GDP, Study infectious disease prevalence, Monitor maternal mortality rates, Benchmark health outcomes against WHO targets, Compare healthcare access across countries, Support public health policy research, Assess progress toward health-related SDG targets

Actions(1)

query_health_data^10cr6 params(1 required)

Fetch health and demographic data for a country or region from the World Bank. Returns mortality rates, life expectancy, immunization coverage, health expenditure, infectious disease prevalence, and demographic indicators with WHO benchmarks and SDG target comparisons.

country_or_regionrequiredstring

Country or region name in plain language (e.g., 'Japan', 'Kenya', 'United States', 'South Asia', 'Sub-Saharan Africa'). Uses fuzzy matching against the World Bank countries API.

health_topicstring

Health topic to query. Options: mortality, life_expectancy, immunization, expenditure, infectious_disease, demographics, or all.

Values:

mortalitylife_expectancyimmunizationexpenditureinfectious_diseasedemographicsall

Default: all

time_periodstring

Time period for data. Use 'latest' for most recent, 'YYYY' for a specific year, 'YYYY:YYYY' for a range, 'last5' or 'last10' for recent years.

Default: latest

include_who_benchmarksboolean

Include WHO benchmarks and SDG 3 target comparisons for applicable indicators.

Default: true

include_demographic_contextboolean

Include population and demographic context (total population, age distribution). Automatically skipped when health_topic is 'demographics'.

Default: true

include_regional_comparisonboolean

Include a note about regional comparison data availability.

Default: false

Connect Your Agent In 5 Min

Use hosted MCP first, or install the local STDIO fallback when your client requires a command

Hosted Streamable HTTPS

Use the hosted endpoint directly in clients that support remote MCP. Store your Bearer token in the client config or secret field.

Endpoint: https://api.agentpmt.com/mcp
Authorization: Bearer <AGENTPMT_BEARER_TOKEN>

Full connection guide

Local STDIO Fallback

Use the local router for Claude Code, Codex, Cursor, Zed, and other clients that require a command-based MCP server. The router forwards requests to the hosted endpoint and does not execute tools locally.

npm install -g @agentpmt/mcp-routeragentpmt-setup

curl -X POST "https://api.agentpmt.com/products/purchase" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer ********" \
  -d '{
    "product_id": "6980d5d271cad8f61bf5b1ad",
    "parameters": {
      "action": "query_health_data",
      "country_or_region": "example_country_or_region",
      "health_topic": "all",
      "time_period": "latest",
      "include_who_benchmarks": true,
      "include_demographic_context": true,
      "include_regional_comparison": false
    }
  }'

import requests
import json

url = "https://api.agentpmt.com/products/purchase"

headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer ********"
}

data = {
    "product_id": "6980d5d271cad8f61bf5b1ad",
    "parameters": {
        "action": "query_health_data",
        "country_or_region": "example_country_or_region",
        "health_topic": "all",
        "time_period": "latest",
        "include_who_benchmarks": true,
        "include_demographic_context": true,
        "include_regional_comparison": false
    }
}

response = requests.post(url, headers=headers, json=data)
print(response.status_code)
print(response.json())

const url = "https://api.agentpmt.com/products/purchase";

const headers = {
  "Content-Type": "application/json",
  "Authorization": "Bearer ********"
};

const data = {
  product_id: "6980d5d271cad8f61bf5b1ad",
  parameters: {
    "action": "query_health_data",
    "country_or_region": "example_country_or_region",
    "health_topic": "all",
    "time_period": "latest",
    "include_who_benchmarks": true,
    "include_demographic_context": true,
    "include_regional_comparison": false
  }
};

fetch(url, {
  method: "POST",
  headers,
  body: JSON.stringify(data)
})
  .then(response => response.json())
  .then(data => console.log(data))
  .catch(error => console.error("Error:", error));

const axios = require('axios');

const url = "https://api.agentpmt.com/products/purchase";

const headers = {
  "Content-Type": "application/json",
  "Authorization": "Bearer ********"
};

const data = {
  product_id: "6980d5d271cad8f61bf5b1ad",
  parameters: {
    "action": "query_health_data",
    "country_or_region": "example_country_or_region",
    "health_topic": "all",
    "time_period": "latest",
    "include_who_benchmarks": true,
    "include_demographic_context": true,
    "include_regional_comparison": false
  }
};

axios.post(url, data, { headers })
  .then(response => {
    console.log(response.status);
    console.log(response.data);
  })
  .catch(error => {
    console.error("Error:", error.message);
  });

Login to view your API and budget keys. The example above uses placeholder values. Sign in to see personalized code with your bearer token.

Usage Instructions

Usage guidance provided directly by the developer for this product.

Health and Public Health Data Hub

Access health and demographic data for any country from the World Bank. Query mortality rates, life expectancy, immunization coverage, health expenditure, infectious disease prevalence, and demographic indicators with WHO benchmarks and SDG 3 target comparisons.

Actions

query_health_data

Fetch health and demographic data for a country or region from the World Bank World Development Indicators database. Uses the World Bank countries API for fuzzy country name resolution.

Required fields:

action — "query_health_data"
country_or_region (string) — Country or region name in plain English (e.g., "Japan", "Kenya", "United States", "South Asia", "Sub-Saharan Africa"). The tool searches the World Bank countries API for exact and partial matches.

Optional fields:

health_topic (string) — Health topic to query. Default: "all".
- "mortality" — Maternal mortality, under-5 mortality, infant mortality, neonatal mortality, death rate
- "life_expectancy" — Overall life expectancy, male life expectancy, female life expectancy
- "immunization" — Measles, DPT, and Hepatitis B immunization coverage rates
- "expenditure" — Health expenditure per capita and as % of GDP, physicians per 1,000, hospital beds per 1,000, nurses/midwives per 1,000
- "infectious_disease" — Tuberculosis incidence, HIV prevalence
- "demographics" — Birth rate, death rate, fertility rate, total population, population ages 0-14, population ages 65+, urban population percentage
- "all" — All health indicators listed above
time_period (string) — Time period for data. Default: "latest".
- "latest" — Most recent available data point
- "YYYY" — Specific year (e.g., "2020")
- "YYYY:YYYY" — Year range (e.g., "2015:2020")
- "last5" — Last 5 years of data
- "last10" — Last 10 years of data
- Also accepts "last_5_years" and "last_10_years"
include_who_benchmarks (boolean) — Include WHO benchmarks and SDG 3 target comparisons for applicable indicators. Shows target value, current value, difference, and whether the target is met. Default: true.
include_demographic_context (boolean) — Include population context (total population, age distribution under 14 and over 65) alongside health data. Automatically skipped when the topic is already "demographics". Default: true.
include_regional_comparison (boolean) — Include a note about regional comparison data availability. Default: false.

Example — Life expectancy for a country:

{
  "action": "query_health_data",
  "country_or_region": "Japan",
  "health_topic": "life_expectancy",
  "time_period": "latest"
}

Example — Mortality data with WHO benchmarks:

{
  "action": "query_health_data",
  "country_or_region": "Kenya",
  "health_topic": "mortality",
  "include_who_benchmarks": true
}

Example — All health data over a time range:

{
  "action": "query_health_data",
  "country_or_region": "India",
  "health_topic": "all",
  "time_period": "2015:2020"
}

Example — Immunization coverage with demographic context:

{
  "action": "query_health_data",
  "country_or_region": "Nigeria",
  "health_topic": "immunization",
  "include_demographic_context": true,
  "include_who_benchmarks": true
}

Example — Health expenditure without benchmarks:

{
  "action": "query_health_data",
  "country_or_region": "United States",
  "health_topic": "expenditure",
  "include_who_benchmarks": false,
  "time_period": "last5"
}

Response Format

Responses include:

country — Resolved country name from World Bank metadata.
iso_code — ISO country code.
region — World Bank region name.
income_level — World Bank income classification.
query — Echo of the topic and time period requested.
indicators — Per-indicator results, each with:
- name — Human-readable indicator name
- data — Array of data points with year, value, and unit
- latest_value — Most recent value
- latest_year — Year of most recent value
who_benchmarks — When enabled, per-indicator comparison to WHO/SDG targets:
- target — WHO target value
- current_value — Country's current value
- difference — Gap from target
- unit — Measurement unit
- sdg — Related SDG target (e.g., SDG 3.1, SDG 3.2, SDG 3.b, SDG 3.3)
- assessment — "Meets target" or "Above/Below target"
- meets_target — Boolean
demographic_context — When enabled, population total, ages 0-14 percentage, and ages 65+ percentage.
regional_comparison_note — When enabled, notes the region for which comparison data is available.

If a country name is not found, the response returns an error with a suggestion to try the full country name.

WHO Benchmarks & SDG Targets

Indicator	SDG Target	WHO Target
Maternal mortality	SDG 3.1	< 70 per 100,000 live births
Under-5 mortality	SDG 3.2	< 25 per 1,000 live births
Infant mortality	SDG 3.2	< 12 per 1,000 live births
Neonatal mortality	SDG 3.2	< 12 per 1,000 live births
Measles immunization	SDG 3.b	>= 95% coverage
DPT immunization	SDG 3.b	>= 95% coverage
HIV prevalence	SDG 3.3	End epidemic by 2030
TB incidence	SDG 3.3	End epidemic by 2030

For mortality and disease indicators, lower values are better (below target = meets target). For immunization, higher values are better (above target = meets target).

Health Indicators by Topic

Topic	Indicators
mortality	Maternal mortality, Under-5 mortality, Infant mortality, Neonatal mortality, Death rate
life_expectancy	Life expectancy (overall), Life expectancy (male), Life expectancy (female)
immunization	Measles immunization, DPT immunization, Hepatitis B immunization
expenditure	Health expenditure per capita (USD), Health expenditure (% GDP), Physicians per 1,000, Hospital beds per 1,000, Nurses/midwives per 1,000
infectious_disease	Tuberculosis incidence (per 100,000), HIV prevalence (% population)
demographics	Birth rate, Death rate, Fertility rate, Total population, Population ages 0-14 (%), Population ages 65+ (%), Urban population (%)

Common Workflows

Country health profile — Call with health_topic: "all" to get a complete health snapshot with WHO benchmark comparisons.
SDG 3 progress check — Query mortality and immunization topics with include_who_benchmarks: true to assess progress toward health SDG targets.
Health system assessment — Use health_topic: "expenditure" to review healthcare spending, physician density, and hospital capacity.
Cross-country comparison — Make separate calls for different countries with the same topic and time period, then compare results.
Disease burden analysis — Use health_topic: "infectious_disease" with time_period: "last10" to track TB and HIV trends.

Important Notes

Data is sourced from the World Bank World Development Indicators database.
health_topic must be one of: mortality, life_expectancy, immunization, expenditure, infectious_disease, demographics, all. Invalid values produce a validation error.
time_period is validated and must be "latest", a 4-digit year, a YYYY:YYYY range, or "last5"/"last10"/"last_5_years"/"last_10_years". Invalid formats produce a validation error.
Data availability varies by country and indicator; some countries may have gaps.
Most recent data may be 1-3 years behind the current year.
All indicator data is fetched concurrently for performance.
Demographic context is automatically excluded when the health topic is already "demographics" to avoid duplicate data.

Frequently Asked Questions

How do I connect this tool to an external agent?

You can install the local MCP server by opening a terminal and running:

Install commands

npm install -g @agentpmt/mcp-router
agentpmt-setup

This will connect you to local agents like Claude Code, Windsurf, Grok Build, Cursor, etc.

Alternatively you can connect to the hosted version with this config block, no installation required:

Hosted MCP config

{
  "mcpServers": {
    "agentpmt": {
      "type": "streamable-http",
      "url": "https://api.agentpmt.com/mcp",
      "headers": {
        "Authorization": "Bearer <AGENTPMT_BEARER_TOKEN>",
        "x-instance-metadata": "{\"client\":\"generic-mcp\",\"platform\":\"remote\"}"
      }
    }
  }
}

View MCP Connection Instructions for more details.

How does an external agent use this tool?

After the external agent is connected to an Agent Group that can use this tool, paste this prompt into the agent:

Agent prompt

Call the AgentPMT-Tool-Search-and-Execution tool with action 'get_schema' and tool_id 6980d5d271cad8f61bf5b1ad ("Global Health & Public Health Data"). Then call the same tool with action 'call_tool', tool_id 6980d5d271cad8f61bf5b1ad, and the parameters needed for my request.

The agent should fetch the tool schema first, collect the required parameters for your request, and then call the tool through AgentPMT.