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Numeric Precision Comparisons — Record Quality Audit, Exact Row Deduplication & Base-100 Series
x402
Numeric Precision Comparisons — Record Quality Audit, Exact Row Deduplication & Base-100 Series 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 local analytical reports on numeric source/transformed value pairs: a record quality audit, exact row deduplication, and a base-100 index series — all computed offline with no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Record quality audit + Exact row deduplication + Base-100 series: Record quality audit + Exact row deduplication + Base-100 series for supplied numeric precision comparisons records (source_value, transformed_value). 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
Returns three independent analytical reports computed locally: (1) a record quality audit flagging anomalies or issues in the source_value/transformed_value pairs, (2) an exact row deduplication report identifying identical rows, and (3) a base-100 index series for the selected field (source_value or transformed_value) rebased at the specified base_index row. No external data is fetched.
Example use cases
ETL pipeline data quality check
“I have 50 rows from our ETL run with source_value and transformed_value fields. Can you audit them for record quality issues, find any exact duplicate rows, and give me a base-100 series on source_value starting from index 0? Here are the rows with row_id, dataset_group, and date.”
Financial data rebase and deduplication
“We've got 120 rows of financial measurements across two dataset groups — can you deduplicate them exactly, run a quality audit, and produce a base-100 index series on transformed_value starting at position 0? I'll provide all the row details.”
Sensor reading comparison audit
“I need to check 80 sensor readings where source_value is the raw reading and transformed_value is the calibrated output. Please run the quality audit, flag any duplicate rows, and build a base-100 series on source_value from index 0 so I can spot drift.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-218?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need all three offline analytics — quality audit, deduplication, and base-100 reindexing — applied to a batch of up to 200 numeric source/transformed value pairs in a single $0.01 call. Ideal when no live data lookup, external enrichment, or prediction is needed and you want purely local, deterministic computation on supplied rows.
Side effects
- Rows array empty or missing — minimum 1 row required
- More than 200 rows submitted — exceeds maxItems limit
- row_id missing or blank — required field per row
- date field does not match YYYY-MM-DD pattern — validation error
- source_value or transformed_value outside ±1,000,000,000,000 — rejected
- base_index out of range 0–199 or exceeds actual row count — error
- Invalid field enum value (must be 'source_value' or 'transformed_value')
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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