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Dependency Upgrades — Record Quality Audit + String Normalisation
x402
Dependency Upgrades — Record Quality Audit + String Normalisation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Runs two local analytical reports (record quality audit and string normalisation) on up to 200 rows of dependency upgrade data (packages_checked, packages_updated) for $0.01 USDC.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dependency upgrades — Record quality audit + String normalisation: Record quality audit + String normalisation for supplied dependency upgrades records (packages_checked, packages_updated). 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 analytical reports for the supplied rows: (1) a record quality audit flagging issues such as missing values, out-of-range numbers, or malformed dates across the packages_checked and packages_updated fields, and (2) a string normalisation report identifying and standardising inconsistent string values in fields like component. All processing is local with no external lookups or live data calls.
Example use cases
Audit messy package update logs
“I have a CSV of dependency upgrade records from our CI pipeline — up to 150 rows with fields like component, date, packages_checked, and packages_updated. Can you run a record quality audit and string normalisation on them to find any bad or inconsistent entries?”
Normalise component names in upgrade data
“Our dependency upgrade tracker has inconsistent component name strings across about 80 rows. Can you run string normalisation on the dataset so we get a clean report on what needs fixing, along with a quality audit of the records?”
Validate package update metrics before reporting
“Before I send our weekly dependency update report to the team, can you do a quality audit and string normalisation on these 60 rows of packages_checked and packages_updated data to make sure there are no bad values or malformed strings?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-software-09-001?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of dependency upgrade records and need both a data quality audit and string normalisation in a single low-cost call ($0.01 USDC). It is best suited for offline/batch validation of package update logs prior to reporting or pipeline ingestion, where no live lookups, predictions, or external actions are needed. Prefer alternatives if you need real-time package vulnerability scanning, live registry lookups, or more than 200 rows processed at once.
Side effects
- More than 200 rows submitted — exceeds maximum batch size
- Missing required fields (row_id, component, date, packages_checked, or packages_updated) cause row-level validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) may be flagged or rejected
- Empty rows array (minItems: 1 not met) returns an error
- Payment of 0.01 USDC not provided or x402 protocol not followed results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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