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Data Ingestion Batches — Equal-Width Histogram + IQR Outlier Flags
x402
Data Ingestion Batches — Equal-Width Histogram + IQR Outlier Flags is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).
Computes equal-width histograms and IQR-based outlier flags for received_rows and accepted_rows fields across up to 200 data ingestion batch records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Equal-width histogram + IQR outlier flags: Equal-width histogram + IQR outlier flags 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 independent statistical reports (one per field: received_rows and accepted_rows) each containing: an equal-width histogram showing bin ranges and counts, and IQR-based outlier flags identifying which rows fall below Q1−1.5×IQR or above Q3+1.5×IQR.
Example use cases
Detecting spike days in pipeline ingestion
“I have 30 days of ingestion batch records with received_rows and accepted_rows — can you run a histogram with 8 bins and IQR outlier detection on accepted_rows to find which days had abnormally low acceptance counts?”
QA report on data acceptance rates
“We just finished a month-long ingestion run across two dataset groups. Can you analyze these 60 batch records for me — use 5 bins and flag any IQR outliers in the received_rows field so I know which batches were statistically unusual?”
Comparing ingestion volume distribution across groups
“Here are 150 ingestion records from our ETL pipeline for group-alpha and group-beta. Can you build a histogram with 15 bins on received_rows and tell me which records fall outside the IQR bounds?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-170?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have up to 200 data ingestion batch records and need fast, local statistical analysis — specifically equal-width histograms and IQR outlier flagging — on received_rows or accepted_rows. Ideal for data engineering QA workflows, pipeline monitoring, or anomaly detection on ingestion metrics without sending data to an external ML service. Prefer this over general-purpose analytics APIs when you need deterministic, reproducible statistical summaries with outlier flags on structured tabular ingestion data at low cost ($0.01 per call covering both fields).
Side effects
- Exceeds 200 row limit — request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation error
- bins value outside 1–30 range — rejected
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — validation failure
- All values null for a field — histogram and IQR cannot be computed
- Payment not included or insufficient — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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