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Data Ingestion Batches — Category Frequencies + Equal-Width Histogram
x402
Data Ingestion Batches — 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 2026-10-19).
Computes category frequency counts and equal-width histogram distributions for received_rows and accepted_rows fields in data ingestion batch records (up to 200 rows, 2 reports per call).
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Category frequencies + Equal-width histogram: Category frequencies + Equal-width histogram for supplied data ingestion batches records (received_rows, accepted_rows). 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
Returns two analytical reports: (1) a category frequency table showing counts per dataset_group value, and (2) an equal-width histogram with configurable bins (1–30) showing the distribution of the selected numeric field (received_rows or accepted_rows) across the supplied batch records. Results are computed locally using supplied data only — no external lookups or predictions.
Example use cases
ETL pipeline row acceptance audit
“I have 50 ingestion batch records from last month across three dataset groups — can you compute category frequencies by dataset_group and a 5-bin histogram on accepted_rows so I can see which groups are underperforming?”
Data quality distribution check
“Run a 10-bin equal-width histogram on received_rows for these 80 ingestion batch records — I want to see if there are any unusual spikes or gaps in how many rows are coming in per batch.”
Ingestion volume comparison by group
“Give me category frequency counts for dataset_group and a histogram of received_rows using 8 bins for these daily ingestion batches from our analytics pipeline — I need to understand which groups are generating the most data.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-106?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local statistical summaries (category frequencies + histogram) for data ingestion batch records specifically structured with received_rows and accepted_rows fields. Ideal for ETL pipeline monitoring, data quality reviews, and batch volume analysis when you have up to 200 records and want two complementary views (categorical breakdown + numeric distribution) in a single low-cost call.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- bins value outside 1–30 range — rejected
- Numeric field values outside ±1,000,000,000,000 — rejected
- Invalid field enum value (not received_rows or accepted_rows) — error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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