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Duplicate Observations Analytics: Base-100 Series + Equal-Width Histogram
x402
Duplicate Observations Analytics: Base-100 Series + 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 2026-10-18).
Generates a Base-100 indexed time series and an equal-width histogram for supplied duplicate observation records (duplicate_rows, total_rows) using local analytical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Base-100 series + Equal-width histogram: Base-100 series + Equal-width histogram for supplied duplicate observations records (duplicate_rows, total_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 analytical reports: (1) a Base-100 indexed series that normalizes the selected field (duplicate_rows or total_rows) relative to a chosen baseline row, and (2) an equal-width histogram showing the frequency distribution of that field across a configurable number of bins. Both reports are computed locally from the supplied row data without any external lookups or predictions.
Example use cases
Data Quality Trend Monitoring
“I have 50 rows of duplicate observation records across two dataset groups from the past two months. Can you index the duplicate_rows field to base-100 starting at row 0 and also show me a 10-bin histogram so I can see how duplicates are distributed?”
Baseline Comparison for Deduplication Audit
“Run a base-100 series and a 7-bin equal-width histogram on these 120 records tracking total_rows across multiple dataset groups — use total_rows as the field and set the base index to row 0 so I can benchmark against the starting point.”
Histogram Bin Analysis for Duplicate Spikes
“Take my 30 duplicate observation records dated between 2026-09-01 and 2026-09-30, use the duplicate_rows field, and generate a base-100 series plus a 5-bin histogram so I can spot which bins have the most frequent duplicate spikes.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-163?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a normalized time-series index (base-100) and a frequency distribution histogram for duplicate observation data in a single call, without requiring external data sources or live lookups. It is ideal for data quality auditing workflows where you have pre-collected duplicate_rows and total_rows metrics and want local statistical summaries. Prefer this over generic analytics platforms when you need a lightweight, pay-per-call computation on up to 200 rows of duplicate detection results.
Side effects
- Empty or missing rows array returns a validation error
- Row count exceeding 200 items is rejected
- Invalid date format (non-YYYY-MM-DD) causes schema validation failure
- base_index value pointing beyond the last row index causes an out-of-range error
- bins value outside 1–30 is rejected
- null values in duplicate_rows or total_rows may affect histogram bin computation
- Missing required row fields (row_id, dataset_group, date) cause row-level validation errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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