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Advertising Performance Record Quality Audit
x402
Advertising Performance Record Quality Audit is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Audits up to 200 advertising performance records for data quality issues including numeric validity, completeness, and structural correctness.
Price / call$0.01
Success—
StatusUnknown
How this service works
Advertising performance - Record quality audit: Record quality audit for Advertising performance. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded record quality audit deliverable.
Output
Returns a bounded quality audit report for up to 200 advertising performance records, identifying data issues such as missing required fields, invalid date formats, null or out-of-range numeric values for clicks and spend, and duplicate or malformed row IDs — with per-record quality findings delivered as a single structured deliverable.
Example use cases
Pre-analysis ad data validation
“Before I run any analysis, can you audit these 50 rows of campaign performance data — each has a row ID, campaign name, date, clicks, and spend — and flag any records with missing values, bad dates, or suspicious numbers?”
Catch bad data before reporting
“I'm about to build a weekly ad report but I want to make sure the underlying data is clean first — can you run a quality audit on these campaign records and let me know which rows have issues?”
Validate imported advertising records
“We just imported 150 advertising performance rows from a third-party platform into our system; can you audit them for data quality problems like null clicks, invalid dates, or out-of-range spend values before we load them to our database?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-ad-performance-quality?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, local data-quality pass on advertising performance records (clicks and spend by campaign and date) before downstream analysis or reporting — particularly when you have up to 200 rows and want numeric and structural validation without external enrichment or forecasting. Prefer this over generic data validation tools when your data specifically follows the ad-performance schema with campaign, date, clicks, and spend fields.
Side effects
- Empty rows array or missing required fields (row_id, campaign, date, clicks, spend) causes validation error
- Date strings not matching YYYY-MM-DD pattern are rejected
- More than 200 rows submitted exceeds maxItems limit and returns error
- Spend or clicks values outside the allowed numeric range cause rejection
- Malformed JSON input returns a schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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