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Crop Yield Records - Category Frequencies
x402
Crop Yield Records - Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Computes category frequency counts for crop yield records from up to 200 supplied tabular rows, returning a bounded descriptive analytics report.
Price / call$0.01
Success—
StatusUnknown
How this service works
Crop yield records - Category frequencies: Category frequencies for Crop yield records. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded category frequencies report.
Output
A bounded descriptive analytics report showing the count (frequency) of each unique crop category found across the submitted yield records, covering up to 200 rows. The report reveals how many rows belong to each distinct crop type, enabling quick distribution and data-quality insights.
Example use cases
Seasonal crop distribution audit
“I have 150 crop yield records from this growing season with crops like rice, maize, and sorghum. Can you tell me how many records we have for each crop type so I know which crops dominate the dataset?”
Data quality check by crop category
“Before I run my yield analysis, I want to verify there are enough records per crop. Here are my 80 rows — each has a crop name, date, hectares, and harvest_kg. Can you give me the frequency count for each crop category?”
Farm portfolio crop mix summary
“I manage several farms and I've compiled 200 harvest records across corn, wheat, and barley. Can you run a category frequency count on the crop field so I can see which crop type appears most in our records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-crop-yield-records-category-counts?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular crop yield records and need a fast, local frequency count of crop categories without any enrichment, forecasting, or external data lookups. It is ideal for quick data-quality checks, portfolio audits, or exploratory analysis of crop type distribution across a bounded dataset of up to 200 records. Prefer alternatives if you need numeric distributions, grouped summaries, time-series analysis, or forecasts.
Side effects
- Empty or missing rows array returns a validation error
- More than 200 rows submitted exceeds the maxItems constraint and is rejected
- Rows missing required fields (row_id, crop, date, hectares, harvest_kg) fail schema validation
- Invalid date format (not YYYY-MM-DD) causes a parsing error
- Payment not included or insufficient USDC causes a 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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