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Structured Data Observations — Category Frequencies + Equal-Width Histogram
x402
Structured Data Observations — Category Frequencies + Equal-Width Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Analyzes structured observations data by computing category frequency counts and equal-width histogram distributions for valid_items or total_items fields, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Structured data observations — Category frequencies + Equal-width histogram: Category frequencies + Equal-width histogram for supplied structured data observations records (valid_items, total_items). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Two analytical reports: (1) category frequency counts showing how many records fall into each site_group category, and (2) an equal-width histogram with the specified number of bins showing the distribution of the chosen numeric field (valid_items or total_items) across all supplied rows. Results cover up to 200 input rows using local analytical engines with no external lookups.
Example use cases
Quality pass-rate distribution audit
“I have 150 rows of daily site inspection records with valid_items and total_items counts — can you compute the category frequencies by site_group and give me a 5-bin histogram of the valid_items values so I can see how quality is distributed?”
Inventory observation histogram analysis
“Here are 80 warehouse observation records with row IDs, dates, group labels, and item counts — run category frequencies plus a 10-bin equal-width histogram on the total_items field so I can spot where most records cluster.”
Campaign tracking data summarization
“I have a batch of 60 structured campaign tracking rows with valid_items and total_items per site group per day — give me the frequency breakdown by category and a histogram with 8 bins on valid_items so I understand the distribution.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-08-106?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both categorical frequency analysis and numeric histogram distribution computed together in a single paid call for structured observation records containing site_group, date, valid_items, and total_items. Ideal for quality monitoring, inventory, or operational datasets up to 200 rows where you want a dual analytical report cheaply ($0.01 USDC) without needing live data lookup, predictions, or external integrations.
Side effects
- More than 200 rows submitted — request rejected at input validation
- Invalid date format (not YYYY-MM-DD) causes row-level validation failure
- Bins parameter outside 1–30 range causes rejection
- Missing required fields (row_id, site_group, date, valid_items, total_items) per row causes error
- All values null for chosen field results in empty or degenerate histogram
- Field enum value not 'valid_items' or 'total_items' causes validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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