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Metadata Completeness Record Quality Audit + Exact Row Deduplication + Equal-Width Histogram
x402
Metadata Completeness Record Quality Audit + Exact Row Deduplication + Equal-Width Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).
Runs three local analytical reports on metadata completeness records: a record quality audit, exact row deduplication, and an equal-width histogram for present_fields or expected_fields values across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Metadata completeness — Record quality audit + Exact row deduplication + Equal-width histogram: Record quality audit + Exact row deduplication + Equal-width histogram for supplied metadata completeness records (present_fields, expected_fields). 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 reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed fields; (2) an exact row deduplication report listing which rows are identical; and (3) an equal-width histogram partitioning the selected numeric field (present_fields or expected_fields) into the specified number of bins with counts per bin. All computed locally from the submitted data with no external lookups.
Example use cases
Data pipeline completeness health check
“I have 50 metadata completeness records from our ETL pipeline — each has a row_id, site_group, date, present_fields, and expected_fields. Can you run a record quality audit, remove any exact duplicates, and show me a 5-bin histogram of present_fields so I can see where fields are missing most often?”
Site group deduplication before reporting
“Before I generate our weekly completeness report, I need to deduplicate these 120 metadata rows across our site groups and audit them for quality issues. Can you also bucket the expected_fields into 8 equal-width bins so I can spot any outlier expectations?”
Metadata field coverage distribution analysis
“Here are 80 rows of metadata completeness data from our content management system — row_id, site_group, date, present_fields, and expected_fields. Run the quality audit and deduplication, and give me a histogram with 6 bins on the present_fields column so I can understand our coverage distribution.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-05-219?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a bundled, offline analytical triple-report (quality audit + deduplication + histogram) on metadata completeness records without any external API calls, live predictions, or professional assessments. It is especially useful when you want to validate field completeness ratios across site groups and dates in a single low-cost ($0.01) call for up to 200 rows. Prefer it over general-purpose analytics tools when you already have structured completeness records with present_fields and expected_fields and want fast, deterministic local computation.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, present_fields, expected_fields) cause row-level quality errors
- Invalid date format (not YYYY-MM-DD) may cause audit failures
- bins value outside 1–30 range returns validation error
- Null or non-numeric present_fields/expected_fields values may be excluded from histogram
- Malformed JSON input causes request failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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