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Crop Yield Records — Record Quality Audit
x402
Crop Yield Records — Record Quality Audit is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-10).
Audits up to 200 crop yield records for data quality issues and produces a descriptive analytics report
Price / call$0.01
Success—
StatusUnknown
How this service works
Crop yield records - Record quality audit: Record quality audit 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 record quality audit report.
Output
A bounded descriptive analytics report summarizing record quality across the submitted crop yield rows, including flags for missing values, out-of-range fields, formatting anomalies, and overall completeness statistics — no enrichment or forecast included.
Example use cases
Pre-analysis data cleaning check
“Before I run any yield analysis, can you audit these 120 crop yield records for me? Each row has a crop name, date, hectares planted, and harvest in kg — I want to know which rows have missing values, outliers, or formatting problems.”
Seasonal harvest data validation
“I just imported our 2024 corn and wheat harvest data — about 80 records with planting dates, field sizes in hectares, and yield in kg — can you do a quality audit and flag anything that looks off before we file the seasonal report?”
Multi-crop dataset integrity review
“We have records from three different crop types across the last quarter, around 150 rows total with dates, hectares, and harvest_kg. Can you audit the record quality and give me a summary of any data issues you find?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-crop-yield-records-quality?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, low-cost quality audit of tabular crop yield data (up to 200 records) with descriptive analytics — ideal for pre-processing validation before feeding data into downstream forecasting or reporting pipelines. It is purpose-built for agricultural yield records with the specific schema of crop, date, hectares, and harvest_kg, making it more targeted than a generic data validation service.
Side effects
- Empty rows array or fewer than 1 item returns validation error
- More than 200 rows exceeds maxItems limit and will be rejected
- Missing required fields (row_id, crop, date, hectares, harvest_kg) on any row causes schema validation failure
- Date fields not matching YYYY-MM-DD pattern are rejected
- Payment not included or insufficient USDC causes x402 payment-required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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