Livestock Market Report Rows by Date (USDA AMS)
usdalmr/report-by-date
Returns the rows of one section of one USDA AMS Market News report for one date or a date range (`date`: MM/DD/YYYY, or MM/DD/YYYY:MM/DD/YYYY), filtered on the report_date column that reports such as 2451 and 2466 carry. Rows are the data mart's columns, which differ per report; null values are removed, text values are cut to 1000 characters and at most 60 rows are returned, with `total_rows`, `returned_rows` and `truncated` saying what was kept. A date without rows, an unknown report or section, or a report without a report_date column is refused with the data mart's message.
Price
$0.0026 per call
You pay the price shown. If a call turns out to cost more than its quote, you pay the actual price, capped at twice the quote. No monthly minimum. Top-ups start at $0.50.
Data source
Source: USDA Agricultural Marketing Service (AMS), Market News, https://mpr.datamart.ams.usda.gov. Trimmed by Eden Engine. Not an official USDA product.
Use it
Five steps: search, inspect, learn, run, settle. No per-tool setup; your agent reaches this tool through the meta-tools it already has.
Connect once and your AI can find and run this tool, and any other it needs.
// 1. search: find the tool
omnial_search({ query: "what you need" })
// 2. inspect: price and input schema
omnial_inspect({ tool: "usdalmr/report-by-date" })
// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "usdalmr/report-by-date" })
// 4. run: price the exact call first, then run it
omnial_execute({ tool: "usdalmr/report-by-date", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "usdalmr/report-by-date", input: { /* ... */ } })
// 5. settle: the call is charged when it finishes, nothing to doNot connected yet? Point your MCP client at https://mcp.eden-engine.com/mcp, then copy a config for your client.
Pricing
Every charge this tool can incur.
| Charge | Price |
|---|---|
Per call | $0.0026 |
- Updated
- Oct 25, 2026
Input and output schemas
Input schema
{
"type": "object",
"required": [
"slug_id",
"section",
"date"
],
"properties": {
"date": {
"type": "string",
"pattern": "^(0[1-9]|1[0-2])/(0[1-9]|[12][0-9]|3[01])/[0-9]{4}(:(0[1-9]|1[0-2])/(0[1-9]|[12][0-9]|3[01])/[0-9]{4})?$",
"description": "One date as MM/DD/YYYY, or a range as MM/DD/YYYY:MM/DD/YYYY, for example 10/20/2026:10/23/2026."
},
"section": {
"type": "string",
"pattern": "^[A-Za-z0-9][A-Za-z0-9 .,&()-]{0,79}$",
"maxLength": 80,
"description": "Section name exactly as listed by reports-list, for example Summary, Detail or Current Volume."
},
"slug_id": {
"type": "string",
"pattern": "^[0-9]{1,6}$",
"description": "Report id (slug_id) from reports-list, for example 2451 or 2466."
}
},
"additionalProperties": false
}Output schema
{
"type": "object",
"required": [
"returned_rows",
"truncated",
"rows"
],
"properties": {
"rows": {
"type": "array",
"items": {
"type": "object",
"description": "One report row. Columns differ per report and section; values are text, numbers or lists as the data mart sends them (null values are removed).",
"additionalProperties": true
},
"description": "The rows, in the order the data mart sends them."
},
"truncated": {
"type": "boolean",
"description": "True when rows holds fewer rows than were matched."
},
"total_rows": {
"type": "integer",
"description": "Rows the data mart matched."
},
"returned_rows": {
"type": "integer",
"description": "Rows in rows (at most 60)."
},
"report_section": {
"type": "string",
"description": "The section returned."
},
"report_sections": {
"type": "array",
"items": {
"type": "string",
"description": "A section name."
},
"description": "All sections of the report."
}
},
"description": "One report section, bounded.",
"additionalProperties": true
}