# USDA NASS Test (`andrew_avina/usda-nass-mcp`) Actor Label: USDA NASS | Sublabel: CROP DATA - **URL**: https://apify.com/andrew\_avina/usda-nass-mcp.md - **Developed by:** [Andrew Avina](https://apify.com/andrew_avina) (community) - **Categories:** MCP servers, Business - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $3.00 / 1,000 result item returneds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## USDA NASS MCP Query USDA National Agricultural Statistics Service (NASS) crop yields, livestock inventories, and farm production data via the NASS Quick Stats API. Returns structured records by commodity, state, year, and statistic category. ### Input | Field | Type | Default | Description | |---|---|---|---| | `commodity` | string | `"CORN"` | Commodity/crop name (e.g. `CORN`, `SOYBEANS`, `WHEAT`, `CATTLE`, `MILK`) | | `state` | string | `""` | Two-letter state abbreviation (e.g. `IA`, `TX`); omit for national | | `statistic` | string | `"YIELD"` | Statistic category: `YIELD`, `PRODUCTION`, `AREA HARVESTED`, `INVENTORY`, `PRICE RECEIVED` | | `year` | integer | `2023` | Survey year | | `sector` | string | `""` | Sector filter: `CROPS`, `ANIMALS & PRODUCTS`, `ECONOMICS` | | `limit` | integer | `10` | Max records to return (1–100) | | `api_key` | string | `""` | NASS API key (optional; free at quickstats.nass.usda.gov) | ### Output Fields | Field | Description | |---|---| | `commodity_desc` | Commodity name (CORN, SOYBEANS, CATTLE, etc.) | | `class_desc` | Class/variety (ALL CLASSES, UPLAND, etc.) | | `prodn_practice_desc` | Production practice (ALL PRODUCTION PRACTICES, IRRIGATED, etc.) | | `util_practice_desc` | Utilization practice (GRAIN, SILAGE, etc.) | | `statisticcat_desc` | Statistic category (YIELD, PRODUCTION, INVENTORY, etc.) | | `unit_desc` | Unit of measure (BU / ACRE, HEAD, LB, CWT, etc.) | | `sector_desc` | Sector (CROPS, ANIMALS & PRODUCTS, etc.) | | `group_desc` | Group (FIELD CROPS, LIVESTOCK, VEGETABLES, etc.) | | `state_name` | State name or "US TOTAL" for national | | `state_alpha` | Two-letter state abbreviation or "US" | | `agg_level_desc` | Aggregation level (NATIONAL, STATE, COUNTY) | | `year` | Survey year | | `period_desc` | Period (YEAR, JAN FIRST, MARKETING YEAR, etc.) | | `value` | Numeric value (null if suppressed) | | `cv_pct` | Coefficient of variation (%) | | `domaincat_desc` | Domain category (NOT SPECIFIED, by size class, etc.) | | `freq_desc` | Frequency (ANNUAL, MONTHLY, WEEKLY) | ### Data Source **USDA NASS Quick Stats API** — `https://quickstats.nass.usda.gov/api` Covers annual crop surveys, census data, and livestock reports from 1866 to present. Free API key available at [quickstats.nass.usda.gov](https://quickstats.nass.usda.gov/api). ### Example Use Cases - Track corn and soybean yield trends by state for commodity analysis - Compare livestock inventory levels across cattle, hog, and poultry sectors - Analyze crop production by county for agricultural lending decisions - Build farm economics dashboards for ag-finance and food supply chain research # Actor input Schema ## `serveMcp` (type: `boolean`): If true, starts an HTTP MCP server on port 4321 to serve tools to MCP clients instead of running a one-shot batch query. ## `commodity` (type: `string`): Crop or commodity name (e.g. CORN, SOYBEANS, WHEAT, COTTON, RICE). Case-insensitive. ## `state` (type: `string`): Full U.S. state name to filter results (e.g. Iowa, Illinois, Kansas). Leave blank for national data. ## `year` (type: `integer`): Survey year to retrieve (e.g. 2023). USDA NASS data typically lags 6–12 months. ## `category` (type: `string`): NASS statistic category: PRODUCTION, AREA HARVESTED, YIELD, PRICE RECEIVED, etc. ## `limit` (type: `integer`): Maximum number of records to return (1–1000). ## Actor input object example ```json { "serveMcp": false, "commodity": "CORN", "year": 2023, "category": "PRODUCTION", "limit": 50 } ```` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("andrew_avina/usda-nass-mcp").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("andrew_avina/usda-nass-mcp").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call andrew_avina/usda-nass-mcp --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=andrew_avina/usda-nass-mcp", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "USDA NASS Test", "description": "Label: USDA NASS | Sublabel: CROP DATA", "version": "0.1", "x-build-id": "1Zwo3b2WIPSC3szCY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/andrew_avina~usda-nass-mcp/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-andrew_avina-usda-nass-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/andrew_avina~usda-nass-mcp/runs": { "post": { "operationId": "runs-sync-andrew_avina-usda-nass-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/andrew_avina~usda-nass-mcp/run-sync": { "post": { "operationId": "run-sync-andrew_avina-usda-nass-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "serveMcp": { "title": "Serve as MCP Server", "type": "boolean", "description": "If true, starts an HTTP MCP server on port 4321 to serve tools to MCP clients instead of running a one-shot batch query.", "default": false }, "commodity": { "title": "Commodity", "type": "string", "description": "Crop or commodity name (e.g. CORN, SOYBEANS, WHEAT, COTTON, RICE). Case-insensitive.", "default": "CORN" }, "state": { "title": "State Name", "type": "string", "description": "Full U.S. state name to filter results (e.g. Iowa, Illinois, Kansas). Leave blank for national data." }, "year": { "title": "Year", "type": "integer", "description": "Survey year to retrieve (e.g. 2023). USDA NASS data typically lags 6–12 months.", "default": 2023 }, "category": { "title": "Statistic Category", "type": "string", "description": "NASS statistic category: PRODUCTION, AREA HARVESTED, YIELD, PRICE RECEIVED, etc.", "default": "PRODUCTION" }, "limit": { "title": "Result Limit", "type": "integer", "description": "Maximum number of records to return (1–1000).", "default": 50 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```