# Climate, Environment, and Land Data Hub ## Links - Product page URL: https://www.agentpmt.com/marketplace/climate-environmental-data - Product markdown URL: https://www.agentpmt.com/marketplace/climate-environmental-data?format=agent-md - Product JSON URL: https://www.agentpmt.com/marketplace/climate-environmental-data?format=agent-json ## Overview - Product ID: 6980d88a71cad8f61bf5b1b9 - Type: data - Unit type: request - Price: 1000 credits - Categories: Data Science, Risk Management & Analytics, Academic & Scientific Research, Public Records & Government Data, Environmental & Climate Data, Civic Data & Demographics - Generated at: 2026-07-05T10:28:17.580Z ### Page Description See how any country's environmental footprint stacks up against the rest of the world. Look up CO2 and greenhouse gas emissions, track how forests and agricultural land are changing, check renewable energy adoption and fossil fuel dependence, and monitor air quality and freshwater use across 100+ countries. Every result includes trend analysis showing whether things are getting better or worse, side-by-side comparisons with global averages, and progress toward Paris Agreement and UN Sustainable Development Goals. ### Agent Description Query World Bank climate and environmental data by country name or ISO code. Returns emissions (CO2, methane, nitrous oxide), forest area, renewable energy percentages, air quality (PM2.5), water withdrawals, and electricity access. Supports topic filtering (emissions, forests, water, energy, air_quality), time ranges, per capita toggling, and Paris Agreement/SDG progress tracking. Use action 'get_instructions' for full documentation. ## Details ### Details See how any country's environmental footprint stacks up against the rest of the world. Look up CO2 and greenhouse gas emissions, track how forests and agricultural land are changing, check renewable energy adoption and fossil fuel dependence, and monitor air quality and freshwater use across 100+ countries. Every result includes trend analysis showing whether things are getting better or worse, side-by-side comparisons with global averages, and progress toward Paris Agreement and UN Sustainable Development Goals. ### Actions - `query_climate_data` (10 credits): Fetch climate and environmental data for a country or region from the World Bank. Returns CO2 emissions, greenhouse gas data, forest coverage, renewable energy percentages, air quality (PM2.5), water withdrawals, and electricity access. Includes trend analysis, global comparisons, and Paris Agreement/SDG progress tracking. ### Use Cases Climate risk analysis,Environmental compliance insights,Pollution trend tracking,Resource and land assessment,Resilience planning ### Workflows Using This Tool No public workflows currently reference this product. ### Related Content No related content is currently linked to this product. ## Integration Details ### DynamicMCP - Setup page URL: https://www.agentpmt.com/dynamic-mcp - Claude setup guide: https://www.agentpmt.com/dynamic-mcp#platform=claude - ChatGPT setup guide: https://www.agentpmt.com/dynamic-mcp#platform=chatgpt - Cursor setup guide: https://www.agentpmt.com/dynamic-mcp#platform=cursor - Windsurf setup guide: https://www.agentpmt.com/dynamic-mcp#platform=windsurf Use the local router for command-based MCP clients. It forwards requests to `https://api.agentpmt.com/mcp` and does not execute tools locally. ```bash npm install -g @agentpmt/mcp-router agentpmt-setup ``` ### REST API The live page renders cURL, Python, JavaScript, and Node.js examples. Logged-in users see those examples prefilled with their own API and budget credentials. - Purchase endpoint: https://api.agentpmt.com/products/purchase - Authorization format: `Bearer ` ```bash curl -X POST "https://api.agentpmt.com/products/purchase" \ -H "Content-Type: application/json" \ -H "Authorization: Bearer eW91ci1hcGkta2V5LWhlcmU6eW91ci1idWRnZXQta2V5LWhlcmU=" \ -d '{ "product_id": "6980d88a71cad8f61bf5b1b9", "parameters": { "action": "query_climate_data", "environmental_topic": "all", "time_period": "latest", "include_paris_targets": true, "include_per_capita": true } }' ``` ### Autonomous Agents Autonomous agents can access this tool through AgentAddress credit balances or direct x402 payments. Use the Autonomous Agent API reference for endpoint shapes after choosing the access pattern below. - Autonomous Agent API reference URL: https://www.agentpmt.com/docs/api-reference/autonomous-agents - Autonomous Agent API reference markdown URL: https://www.agentpmt.com/docs/api-reference/autonomous-agents?format=agent-md - Credit-Based Access Using AgentAddress: https://www.agentpmt.com/docs/autonomous-agents/credit-based-tool-usage-with-agentaddress - AgentAddress is preferred for persistent file access, stored platform state, and maximum tool use ability across repeated calls. - Direct x402 is for independent one-off tool calls that do not require shared files or stored platform state. - Direct x402 public payments: USDC on Base, Arbitrum, Optimism, Polygon, and Avalanche. #### Product Skill Package This product has a published Agent Skill package for product-specific operating instructions. - Skill slug: climate-environment-and-land-data-hub - Version: 1.0.0 - Download SKILL.md: https://raw.githubusercontent.com/AgentPMT/agent-skills/main/skills/climate-environment-and-land-data-hub/SKILL.md - Package source: https://github.com/AgentPMT/agent-skills/tree/main/skills/climate-environment-and-land-data-hub - OpenClaw listing: https://clawhub.ai/agentpmt/climate-environment-and-land-data-hub - OpenClaw install: `openclaw skills install climate-environment-and-land-data-hub` - skills.sh install: `npx skills add AgentPMT/agent-skills --skill climate-environment-and-land-data-hub` - Last published: 2026-06-24T05:14:39.704Z ### Schema #### Parameters - Schema type: actions ```json { "actions": { "query_climate_data": { "description": "Fetch climate and environmental data for a country or region from the World Bank. Returns CO2 emissions, greenhouse gas data, forest coverage, renewable energy percentages, air quality (PM2.5), water withdrawals, and electricity access. Includes trend analysis, global comparisons, and Paris Agreement/SDG progress tracking.", "properties": { "country_or_region": { "type": "string", "description": "Country name in English (e.g., 'Kenya', 'United States', 'China') or 3-letter ISO code (e.g., 'KEN', 'USA'). Defaults to 'World' if omitted.", "required": false }, "environmental_topic": { "type": "string", "description": "Environmental topic to query. Options: emissions, forests, water, energy, air_quality, or all.", "required": false, "default": "all", "enum": [ "emissions", "forests", "water", "energy", "air_quality", "all" ] }, "time_period": { "type": "string", "description": "Time period: 'latest' for most recent data, or year range like '2015:2020'.", "required": false, "default": "latest" }, "include_paris_targets": { "type": "boolean", "description": "Include Paris Agreement targets and SDG alignment (SDG 7, 13, 15) in the response.", "required": false, "default": true }, "include_per_capita": { "type": "boolean", "description": "Include per capita calculations where applicable. Set to false to exclude per-capita indicators (e.g., CO2 per capita).", "required": false, "default": true } } } }, "properties": { "action": { "type": "string", "description": "Action to perform: 'get_instructions' for documentation, 'query_climate_data' to fetch climate and environmental data", "required": false, "enum": [ "get_instructions", "query_climate_data" ] }, "country_or_region": { "type": "string", "description": "Country name in English (e.g., 'Kenya', 'United States', 'China') or 3-letter ISO code (e.g., 'KEN', 'USA'). Defaults to 'World' if omitted. Unicode or unrecognized names return an error.", "required": false }, "environmental_topic": { "type": "string", "description": "Environmental topic to query. Defaults to 'all'.", "required": false, "default": "all", "enum": [ "emissions", "forests", "water", "energy", "air_quality", "all" ] }, "time_period": { "type": "string", "description": "Time period: 'latest' for most recent data, or year range like '2015:2020'", "required": false, "default": "latest" }, "include_paris_targets": { "type": "boolean", "description": "Include Paris Agreement targets and SDG alignment in response", "required": false, "default": true }, "include_per_capita": { "type": "boolean", "description": "Include per capita calculations where applicable. Set to false to exclude per-capita indicators.", "required": false, "default": true } } } ``` ### Usage Instructions # Climate, Environment, and Land Data Hub ## Overview Natural language interface to World Bank climate and environmental data. Query CO2 emissions, forest coverage, water resources, energy consumption, and air quality by country or region. Supports 100+ countries by English name. No indicator codes needed -- just provide a country name and topic. Data sourced from the World Bank API. Covers emissions (CO2, GHG, methane, nitrous oxide), forests and land use, energy access and renewables, water resources, and air quality (PM2.5 exposure). Includes Paris Agreement targets, SDG alignment (SDG 7, 13, 15), trend analysis, and global comparisons. ## Actions ### query_climate_data Fetches climate and environmental data for a country or region from the World Bank. **Required parameters:** None (all optional; defaults to World/all topics/latest). **Optional parameters:** - `country_or_region` (string): Country name in English (e.g., "Kenya", "United States", "China") or 3-letter ISO code (e.g., "KEN", "USA"). Defaults to "World" if omitted. Unrecognized names return an error with a suggestion. - `environmental_topic` (string): One of "emissions", "forests", "water", "energy", "air_quality", or "all". Defaults to "all". - `time_period` (string): "latest" for most recent data, or a year range like "2015:2020". Defaults to "latest". - `include_paris_targets` (boolean): Include Paris Agreement targets and SDG alignment in the response. Defaults to true. - `include_per_capita` (boolean): Include per capita calculations where applicable. Defaults to true. Set to false to exclude per-capita indicators (e.g., CO2 per capita). **Example -- Get emissions data for Kenya:** ```json { "action": "query_climate_data", "country_or_region": "Kenya", "environmental_topic": "emissions" } ``` **Example -- Get all climate data for Brazil with a time range:** ```json { "action": "query_climate_data", "country_or_region": "Brazil", "time_period": "2015:2020" } ``` **Example -- Forest data for the world, no per-capita:** ```json { "action": "query_climate_data", "environmental_topic": "forests", "include_per_capita": false } ``` **Example -- Energy data for Sub-Saharan Africa without Paris targets:** ```json { "action": "query_climate_data", "country_or_region": "Sub-Saharan Africa", "environmental_topic": "energy", "include_paris_targets": false } ``` **Example -- Air quality for India:** ```json { "action": "query_climate_data", "country_or_region": "India", "environmental_topic": "air_quality" } ``` ## Workflows ### Country Climate Profile 1. Call `query_climate_data` with a country and `environmental_topic: "all"` to get a full climate profile. 2. Review the `paris_agreement_targets` and `sdg_alignment` sections for policy context. 3. Check the `global_comparison` on each indicator to see how the country compares to the world average. ### Emissions Tracking Over Time 1. Call `query_climate_data` with `environmental_topic: "emissions"` and a `time_period` range (e.g., "2010:2022"). 2. Review the `trend` field on each indicator to see if emissions are increasing, decreasing, or stable. ### Regional Comparison 1. Call `query_climate_data` for a region (e.g., "Sub-Saharan Africa", "Latin America", "South Asia"). 2. Compare with a specific country by calling again with that country name. 3. Use the `global_comparison` data to contextualize results. ## Notes - **Supported countries:** 100+ countries by full English name (e.g., "Kenya", "Germany", "Brazil"), plus World Bank regions ("Sub-Saharan Africa", "Latin America", "East Asia and Pacific", "Europe and Central Asia", "Middle East and North Africa", "North America", "South Asia") and income groups ("Low Income", "Lower Middle Income", "Upper Middle Income", "High Income"). - **3-letter ISO codes** are also accepted (e.g., "KEN", "USA", "CHN"). 2-letter codes are accepted if uppercase. - Country names must be in English. Native-language or Unicode names are not supported. - Country name input longer than 100 characters is rejected. - If `country_or_region` is omitted or empty, it defaults to "World" (WLD). - If `environmental_topic` is omitted or not recognized, it defaults to "all" (returns all indicators). - **Environmental topics and their indicators:** - `emissions`: CO2 total, CO2 per capita, total GHG, methane - `forests`: forest area %, forest area sq km, agricultural land % - `water`: freshwater withdrawal, clean fuel access - `energy`: renewable energy %, fossil fuel %, renewable electricity %, access to electricity % - `air_quality`: PM2.5 exposure, clean fuel access - Setting `include_per_capita` to false filters out any indicator key containing "per_capita". - **Response includes:** data values with year, trend analysis (increasing/decreasing/stable over ~10 years), global comparison (percentage above/below world average), Paris Agreement targets, SDG alignment, and a summary with data availability percentage. - When no data is found for any indicator, success is false and a message is included. - Data availability varies by country and indicator. Some indicators may return null values. ### Frequently Asked Questions #### How do I connect this tool to an external agent? - Page URL: https://www.agentpmt.com/faq - Markdown URL: https://www.agentpmt.com/faq?format=agent-md You can install the local MCP server by opening a terminal and running: ``` 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: ``` { "mcpServers": { "agentpmt": { "type": "streamable-http", "url": "https://api.agentpmt.com/mcp", "headers": { "Authorization": "Bearer ", "x-instance-metadata": "{\"client\":\"generic-mcp\",\"platform\":\"remote\"}" } } } } ``` [View MCP Connection Instructions](/docs/mcp-reference/connection) for more details. #### How does an external agent use this tool? - Page URL: https://www.agentpmt.com/faq - Markdown URL: https://www.agentpmt.com/faq?format=agent-md After the external agent is connected to an Agent Group that can use this tool, paste this prompt into the agent: > Use the AgentPMT-Tool-Search-and-Execution tool. First call action 'get\_instructions' so you know how to use the tool search interface. Then call action 'get\_schema' with tool\_id 6980d88a71cad8f61bf5b1b9 ("Climate, Environment, and Land Data Hub"). After reading the schema and any returned instructions, tell me what this tool can do, we are going to be using it The agent should fetch the tool schema first, collect the required parameters for your request, and then call the tool through AgentPMT. ### Dependencies This product has no public dependency products.