Global Agriculture & Food Security Data

Data

Premium Product

Available ActionsEach successful request consumes credits as outlined below.

query_agriculture_data^5cr

Details

Explore agriculture and food security data for any country in the world. Look up crop yields, undernourishment rates, agricultural productivity, land use patterns, and rural development indicators. Compare food security outcomes across countries, track trends in agricultural output, and assess progress toward ending hunger — all from a comprehensive global data set.

Use Cases

Research food security levels by country, Track crop yield trends over time, Analyze agricultural productivity across regions, Study undernourishment and malnutrition rates, Compare land use patterns between countries, Monitor rural population and agricultural employment, Assess progress toward SDG 2 zero hunger targets, Research agricultural value added as percentage of GDP, Evaluate food production capacity by region, Support policy research on rural development

Connect Your Agent In 5 Min

Watch the setup guide for your platform

Or Install Locally

STDIO connector for Claude Code, Codex, Cursor, Zed, and other LLMs that require STDIO or custom connections. This lightweight connector routes requests to https://api.agentpmt.com/mcp. All tool execution happens in the cloud and the server cannot edit any files on your computer.

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

Actions(1)

query_agriculture_data^5cr6 params(1 required)

Fetch agricultural and food security indicator data for a country or region, including crop yields, undernourishment rates, land use, productivity metrics, and rural development context.

country_or_regionrequiredstring

Country or region name in plain language (e.g., 'India', 'Sub-Saharan Africa', 'Brazil', 'World')

agriculture_topicstring

Topic filter: 'production', 'food_security', 'malnutrition', 'land_use', 'productivity', or 'all'

Values:

productionfood_securitymalnutritionland_useproductivityall

Default: all

time_periodstring

Time period: 'latest', 'last_5_years', 'last_10_years', 'YYYY:YYYY' range, or single 'YYYY' year

Default: latest

include_rural_contextboolean

Include rural population percentage and agricultural employment data for additional context

Default: true

include_regional_comparisonboolean

Include comparison data from World, Sub-Saharan Africa, South Asia, Latin America, East Asia, and Middle East

Default: true

include_trendsboolean

Include trend analysis with change direction (improving/worsening/stable) when historical data is available

Default: true

curl -X POST "https://api.agentpmt.com/products/purchase" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer ********" \
  -d '{
    "product_id": "6980decb71cad8f61bf5b1f1",
    "parameters": {
      "action": "query_agriculture_data",
      "country_or_region": "example_country_or_region",
      "agriculture_topic": "all",
      "time_period": "latest",
      "include_rural_context": true,
      "include_regional_comparison": true,
      "include_trends": true
    }
  }'

import requests
import json

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

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

data = {
    "product_id": "6980decb71cad8f61bf5b1f1",
    "parameters": {
        "action": "query_agriculture_data",
        "country_or_region": "example_country_or_region",
        "agriculture_topic": "all",
        "time_period": "latest",
        "include_rural_context": true,
        "include_regional_comparison": true,
        "include_trends": true
    }
}

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: "6980decb71cad8f61bf5b1f1",
  parameters: {
    "action": "query_agriculture_data",
    "country_or_region": "example_country_or_region",
    "agriculture_topic": "all",
    "time_period": "latest",
    "include_rural_context": true,
    "include_regional_comparison": true,
    "include_trends": true
  }
};

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: "6980decb71cad8f61bf5b1f1",
  parameters: {
    "action": "query_agriculture_data",
    "country_or_region": "example_country_or_region",
    "agriculture_topic": "all",
    "time_period": "latest",
    "include_rural_context": true,
    "include_regional_comparison": true,
    "include_trends": true
  }
};

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.

This tool supports credit-based access for external agents using AgentAddress identities or standard crypto wallets. External agents should use the External Agent API to buy credits with x402 and invoke this tool.

1. Buy Credits

Purchase credits via x402 payment (500 credit minimum, 100 credits = $1).

# Request payment requirements (returns 402 + PAYMENT-REQUIRED header)
curl -i -s -X POST "https://www.agentpmt.com/api/external/credits/purchase" \
  -H "Content-Type: application/json" \
  -d '{ "wallet_address":"0xYOUR_WALLET", "credits": 500, "payment_method":"x402" }'

# Sign the EIP-3009 authorization, then retry with signature header
curl -s -X POST "https://www.agentpmt.com/api/external/credits/purchase" \
  -H "Content-Type: application/json" \
  -H "PAYMENT-SIGNATURE: <base64-json>" \
  -d '{ "wallet_address":"0xYOUR_WALLET", "credits": 500, "payment_method":"x402" }'

2. Create a Session Nonce (nonce used in signed balance/invoke)

curl -s -X POST "https://www.agentpmt.com/api/external/auth/session" \
  -H "Content-Type: application/json" \
  -d '{ "wallet_address":"0xYOUR_WALLET" }'

3. Invoke This Tool

Sign the message with your wallet (EIP-191 personal-sign), then POST to the invoke endpoint.

# Sign this message (wallet MUST be lowercased):
# agentpmt-external
# wallet:0xyourwallet...
# session:<session_nonce>
# request:<request_id>
# method:POST
# path:/external/tools/agriculture-food-security/actions/<actionSlug>/invoke
# payload:<sha256(canonical_json(parameters))>

curl -s -X POST "https://www.agentpmt.com/api/external/tools/agriculture-food-security/actions/<actionSlug>/invoke" \
  -H "Content-Type: application/json" \
  -d '{
    "wallet_address": "0xYOUR_WALLET",
    "session_nonce": "<session_nonce>",
    "request_id": "invoke-uuid",
    "signature": "0x<signature>",
    "parameters": {
      "your_param": "value"
    }
  }'

Usage Instructions

Usage guidance provided directly by the developer for this product.

Agriculture & Food Security Data

Access comprehensive agricultural statistics and food security indicators from the World Bank's World Development Indicators database through a natural language interface.

Overview

This tool provides natural language access to World Bank agricultural data covering crop production, food security, land use, productivity metrics, and economic context. It supports 200+ countries and regional aggregations, with built-in trend analysis, regional comparisons, and SDG 2 (Zero Hunger) alignment tracking.

Data is sourced from the World Bank World Development Indicators and FAO databases.

Actions

query_agriculture_data

Query agricultural and food security indicators for any country or region.

Required Parameters

action (string): Must be "query_agriculture_data"
country_or_region (string): Country or region name in plain language
- Country names: "India", "Brazil", "Kenya", "United States"
- Regions: "Sub-Saharan Africa", "Latin America", "South Asia", "East Asia", "Middle East"
- Global: "World" or "Global"
- Income groups: "Low Income", "Lower Middle Income", "Upper Middle Income", "High Income"
- ISO3 codes also accepted: "USA", "IND", "KEN"

Optional Parameters

agriculture_topic (string, default: "all"): Topic filter for indicators
- "production" - Cereal yield, crop production index, livestock production index, food production index
- "food_security" - Undernourishment prevalence, food deficit, food production index, cereal import dependency
- "malnutrition" - Undernourishment prevalence, food deficit (caloric deficits)
- "land_use" - Agricultural land, arable land, arable land per person, forest area, irrigated land
- "productivity" - Cereal yield, fertilizer consumption, agricultural machinery, agriculture value added growth
- "all" - All available agricultural indicators (20 indicators)
time_period (string, default: "latest"): Time period for data retrieval
- "latest" - Most recent available data point
- "last_5_years" - Last 5 years of data
- "last_10_years" - Last 10 years of data
- "YYYY:YYYY" - Specific year range (e.g., "2015:2020"), years must be between 1960 and current year
- "YYYY" - Single specific year (e.g., "2020")
include_rural_context (boolean, default: true): Include rural population percentage and agricultural employment data for additional context
include_regional_comparison (boolean, default: true): Include comparison data from World, Sub-Saharan Africa, South Asia, Latin America & Caribbean, East Asia & Pacific, and Middle East & North Africa
include_trends (boolean, default: true): Include trend analysis with absolute and percentage change, direction assessment (improving/worsening/stable), when historical data is available

Example: Latest data for a country

{
  "action": "query_agriculture_data",
  "country_or_region": "India",
  "agriculture_topic": "all",
  "time_period": "latest"
}

Example: Food security trends over time

{
  "action": "query_agriculture_data",
  "country_or_region": "Kenya",
  "agriculture_topic": "food_security",
  "time_period": "last_10_years",
  "include_trends": true
}

Example: Regional productivity analysis

{
  "action": "query_agriculture_data",
  "country_or_region": "Sub-Saharan Africa",
  "agriculture_topic": "productivity",
  "time_period": "last_5_years"
}

Example: Land use with minimal extras

{
  "action": "query_agriculture_data",
  "country_or_region": "Brazil",
  "agriculture_topic": "land_use",
  "time_period": "2010:2020",
  "include_rural_context": false,
  "include_regional_comparison": false
}

Example: Malnutrition data for income group

{
  "action": "query_agriculture_data",
  "country_or_region": "Low Income",
  "agriculture_topic": "malnutrition",
  "time_period": "latest"
}

Response Structure

Responses include:

data: Indicator values with human-readable names, latest values, years, units, country name, and source attribution
productivity_metrics: Derived metrics including cereal productivity assessment (Low/Moderate/Good/High with recommendations), agricultural efficiency ratio (GDP share vs employment share), and land productivity context
rural_context: Rural population percentage and agricultural employment share (when include_rural_context is true)
trends: For each indicator with historical data: oldest/newest values and years, absolute and percentage change, direction (improving/worsening/stable), and data point count
regional_comparison: Comparison values from 6 major regions (when include_regional_comparison is true)
insights: Human-readable analytical insights based on data values, trends, and regional comparisons
sdg_alignment: SDG 2 Zero Hunger alignment information
data_notes: Context notes about methodology and data quality

Key Indicators Reference

Indicator	Unit	Description
cereal_yield	kg per hectare	Cereal productivity (global avg ~4,000)
crop_production_index	index (2014-2016=100)	Overall crop production level
livestock_production_index	index (2014-2016=100)	Livestock production level
agricultural_land	% of land area	Land used for agriculture
arable_land	% of land area	Land suitable for crops
arable_land_per_person	hectares per person	Per capita arable land
forest_area	% of land area	Forest coverage
irrigated_land	% of agricultural land	Irrigated portion of farmland
undernourishment_prevalence	% of population	Population unable to acquire enough food
food_production_index	index (2014-2016=100)	Overall food production level
food_deficit	kcal/person/day	Depth of caloric food deficit
fertilizer_consumption	kg/ha of arable land	Fertilizer use intensity
agricultural_machinery	number of tractors	Mechanization level
agricultural_methane	% of total emissions	Agriculture's methane contribution
agriculture_value_added	% of GDP	Agriculture's share of economy
agriculture_value_added_growth	annual % growth	Agriculture GDP growth rate
employment_agriculture	% of total employment	Agricultural workforce share
rural_population	% of total population	Rural population share
cereal_import_dependency	%	Reliance on cereal imports

Productivity Assessments

Cereal yield classifications used in productivity_metrics:

Low productivity: Below 2,000 kg/ha - significant improvement potential
Moderate productivity: 2,000-4,000 kg/ha - room for improvement
Good productivity: 4,000-6,000 kg/ha - above average
High productivity: Above 6,000 kg/ha - excellent yields

Workflows

Country Agricultural Profile: Query with agriculture_topic: "all" and time_period: "latest" to get a comprehensive snapshot of a country's agricultural sector
Food Security Monitoring: Query agriculture_topic: "food_security" with time_period: "last_10_years" and include_trends: true to track food security progress
Cross-Country Comparison: Run separate queries for multiple countries with include_regional_comparison: true to compare against regional benchmarks
Productivity Gap Analysis: Query agriculture_topic: "productivity" to get yield assessments and efficiency ratios with recommendations

Notes

Data sourced from World Bank World Development Indicators and FAO
Most recent data is typically 1-3 years behind current year due to collection/processing delays
Data availability varies by country and indicator; some countries may have gaps
Production indices use 2014-2016 as the base period (value of 100)
Cereal yield is based on harvested area, not planted area
Undernourishment is based on minimum dietary energy requirements
When a country name is not recognized, a descriptive error is returned with guidance
If no country_or_region is provided, returns an error requesting the parameter
The tool supports partial name matching for country lookups (e.g., "korea" matches "south korea")
Trend direction for undernourishment and food deficit is inverted (decrease = improving)
Regional comparison fetches the top 5 key indicators (not all) for performance reasons

Pricing

$0.05 per request

Global Agriculture & Food Security Data

Available ActionsEach successful request consumes credits as outlined below.

Details

Use Cases

Connect Your Agent In 5 Min

Or Install Locally

Looking for help integrating AI into your business? Set up a free consultation.