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Transformation Throughput Analytics: Quality Audit + Deduplication + Numeric Ordering
x402
Transformation Throughput Analytics: Quality Audit + Deduplication + Numeric Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).
Runs three local analytical reports on transformation throughput records (processed_rows, duration_seconds): record quality audit, exact row deduplication, and numeric row ordering — up to 200 rows per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Record quality audit + Exact row deduplication + Numeric row ordering: Record quality audit + Exact row deduplication + Numeric row ordering for supplied transformation throughput records (processed_rows, duration_seconds). 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 on the supplied rows: (1) a record quality audit flagging missing, null, or out-of-range values in processed_rows and duration_seconds; (2) an exact row deduplication report identifying and removing duplicate records; (3) a numeric ordering of the rows ranked by the specified field (processed_rows or duration_seconds). All analysis is performed locally with no external lookups.
Example use cases
ETL pipeline data quality check
“I have a batch of ETL run records with processed_rows and duration_seconds — can you audit them for quality issues, flag any exact duplicates, and sort them numerically by processed_rows? I'll give you up to 50 rows.”
Deduplicating throughput logs before reporting
“Before I generate my weekly throughput report, can you scan these 80 transformation run records for exact duplicate rows and give me a clean deduplicated set, along with a quality audit and numeric ordering by duration_seconds?”
Ranking pipeline jobs by processing speed
“I want to rank my 30 pipeline dataset groups by their duration_seconds to see which jobs are slowest — can you also audit them for missing values and check for any duplicate row IDs while you're at it?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-213?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled local analytical operations on transformation throughput data (quality audit + deduplication + numeric ordering) in a single low-cost call. It is ideal for data engineering pipelines where you want to validate, clean, and rank processed_rows or duration_seconds records without hitting external APIs or incurring live lookup costs. Prefer it over general-purpose analytics when your data fits within 200 rows and involves the specific throughput schema (row_id, dataset_group, date, processed_rows, duration_seconds).
Side effects
- Fewer than 1 row submitted — minimum row count not met
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, date, processed_rows, duration_seconds) in one or more rows
- Invalid date format (must match YYYY-MM-DD pattern)
- Invalid field enum value — must be 'processed_rows' or 'duration_seconds'
- Numeric values outside the allowed range (-1e12 to 1e12) rejected
- Malformed JSON body returns validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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