- MATCH
- MISMATCH
- MISSING
- HUMAN
Short answer
How can I check if my AI is using the right USDA variables?
Your AI uses the get_arms_variables tool to pull official metadata directly from the USDA. This ensures your economic analysis matches official definitions and units. You'll see exactly how the variables are defined in the breakdown below.
Validation outcomes
Where your findings land.
The AI categorizes its findings so you know exactly what to fix in your model.
MATCH
Verified variables
The AI confirms that your variable names and units align with USDA standards. You get a clean list of validated inputs.
MISMATCH
Definition errors
The AI flags where your model uses a different definition than the USDA. It identifies the specific discrepancy in the metadata.
MISSING
Undefined variables
If your model uses a term the USDA doesn't recognize, the AI identifies it as an unknown variable. This prevents errors in downstream analysis.
HUMAN
Manual review needed
When a variable is ambiguous or partially matches, the AI hands it to you. You decide how to reconcile the model with the official data.
The workflow
What your AI does when the request arrives.
The AI handles the data retrieval and comparison so you don't have to hunt through USDA documentation.
Fetch metadata
The AI pulls the current list of official economic variables and their definitions from the USDA.
get_arms_variablesCompare inputs
Your AI compares your model's variable list against the official metadata retrieved from the USDA.
get_arms_variablesIdentify discrepancies
The AI looks for mismatches in naming conventions, units of measure, or specific variable definitions.
get_arms_variablesReport findings
The AI presents a summary of what matches and what needs your attention to fix the model.
get_arms_variables
Try it
Copy these to start.
Use these prompts to begin your validation.
Starting points
Replace the bracketed text with your specific variable names or model descriptions.
ERS USDA Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_HgvDO23igRkfy615pLSsFA2VZZTsXARonxiIwEVC/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — ERS USDA capabilities are ready to use.
{
"mcpServers": {
"ers-usda-economic-research-mcp": {
"url": "https://edge.vinkius.com/vk_preview_HgvDO23igRkfy615pLSsFA2VZZTsXARonxiIwEVC/mcp"
}
}
}Check these variables against USDA metadata: [list variables].
Does the USDA definition for [variable name] match how I'm using it in my model?
Verify if my model's units for [variable name] are consistent with official USDA standards.
Compare my list of economic indicators in this spreadsheet against the official USDA variable list.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect ERS USDA once, then ask.
One click connects the MCP to your client. Your credentials stay encrypted and you can start querying the USDA immediately.
Connect ERS USDA to your AIFAQ
How this task behaves.
- 01
Can the AI change the USDA's official definitions?
No. The AI only reads the official metadata to compare it against your work. It cannot modify the source data.
- 02
Does the AI automatically fix my economic model?
No. The AI identifies the errors and provides the correct definitions, but you must manually update your model.
- 03
What happens if a variable isn't in the USDA database?
The AI will report that the variable could not be found in the official metadata.
- 04
Can I use this to pull real-time price data?
No. This specific task is for validating variable definitions and metadata, not for pulling live market prices.
- 05
Does the AI handle the math in my model?
No. The AI focuses on the validity of the variables and definitions. It does not perform the actual economic calculations.
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