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Dataset Storage Record Quality Audit + Deduplication + Equal-Width Histogram
x402
Dataset Storage Record Quality Audit + Deduplication + 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 2026-10-15).
Runs three analytical reports on dataset storage records (used_mb, row_count): record quality audit, exact row deduplication, and equal-width histogram — all from supplied data, no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset storage — Record quality audit + Exact row deduplication + Equal-width histogram: Record quality audit + Exact row deduplication + Equal-width histogram for supplied dataset storage records (used_mb, row_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports: (1) a record quality audit flagging nulls, out-of-range values, and format violations in the supplied rows; (2) an exact row deduplication report identifying duplicate records; (3) an equal-width histogram of the selected field (used_mb or row_count) across the specified number of bins. All computed locally from supplied data only.
Example use cases
Storage telemetry data quality check
“I have 150 dataset storage records with used_mb and row_count values — can you run a quality audit on them to flag any missing or invalid entries, deduplicate exact duplicate rows, and give me a 5-bin histogram of used_mb?”
Duplicate detection in daily storage snapshots
“These are my daily dataset storage snapshots from the last quarter; check for exact duplicate rows across all of them and tell me which row_ids appear more than once, along with a quality audit of the dataset_group and date fields.”
Row count distribution profiling
“Profile the row_count field across my 80 dataset storage records using a 10-bin equal-width histogram so I can understand the distribution, and also flag any data quality issues you find in the process.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-18-219?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need all three analytical operations (quality audit, deduplication, and histogram) run together on a small-to-medium dataset storage sample (up to 200 rows) in a single low-cost call. Ideal for agent workflows that need a quick data health check on storage telemetry without any external API dependencies or live data lookups.
Side effects
- More than 200 rows submitted — request exceeds row limit
- Missing required fields (row_id, dataset_group, date, used_mb, row_count) — validation error
- Invalid date format (non-YYYY-MM-DD) — schema validation failure
- Bins parameter out of range (must be 1–30) — validation error
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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