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Build Cache Record Quality Audit and Keyed Dataset Comparison
x402
Build Cache Record Quality Audit and Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Audits data quality of build cache records and performs keyed comparison between two datasets (up to 200 rows each) reporting on saved_seconds and cache_mb metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Build cache — Record quality audit + Keyed dataset comparison: Record quality audit + Keyed dataset comparison for supplied build cache records (saved_seconds, cache_mb). 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 record quality audit flagging data issues such as nulls, invalid values, and format violations across the supplied rows; and (2) a keyed dataset comparison report highlighting row-by-row differences in saved_seconds and cache_mb between the two supplied datasets. No external lookups or predictions are made.
Example use cases
CI pipeline cache regression check
“I have build cache metrics from last week and this week — both with row IDs, component names, dates, saved_seconds, and cache_mb. Can you audit the data quality of both sets and compare them row-by-row to see what changed?”
Build cache data quality gate
“Before I ship these 150 build cache records to our data warehouse, can you run a quality audit on them to flag any nulls, out-of-range values, or malformed dates in the saved_seconds and cache_mb columns?”
Component-level cache performance comparison
“I've got two snapshots of build cache stats — one from our staging environment and one from production, each with up to 200 rows keyed by row_id. Run a quality audit on each and compare them so I can see where the cache savings differ by component.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-software-17-018?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need both a data quality audit AND a side-by-side keyed comparison of two build cache datasets in a single call for under $0.01. Ideal for CI/CD pipelines, build performance regression checks, or data validation gates where you have up to 200 rows of build cache records with saved_seconds and cache_mb metrics. Not suitable for live monitoring, prediction, or large-scale batch processing beyond 200 rows.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, component, date, saved_seconds, cache_mb) on any row — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Payment of 0.01 USDC not provided or rejected — 402 Payment Required
- Empty rows array (minItems: 1 not met) — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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