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Metadata Completeness Analyzer — Base-100 Series + Equal-Width Histogram
x402
Metadata Completeness Analyzer — Base-100 Series + 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 2026-10-26).
Generates two analytical reports (a Base-100 indexed time series and an equal-width histogram) for metadata completeness records tracking present vs. expected fields across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Metadata completeness — Base-100 series + Equal-width histogram: Base-100 series + Equal-width histogram for supplied metadata completeness records (present_fields, expected_fields). 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: (1) a Base-100 indexed time series showing how the selected field (present_fields or expected_fields) evolves relative to the base index row, and (2) an equal-width histogram bucketing the values across the specified number of bins. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Data quality audit across site groups
“I have 50 metadata records from two site groups — group-a and group-b — collected daily through October 2026. Can you build me a Base-100 series starting from record 0 and a 10-bin histogram on the present_fields column so I can see how completeness is trending?”
Expected fields coverage distribution
“Run a metadata completeness analysis on these 100 rows of pipeline records — I want to see an equal-width histogram with 8 bins and a Base-100 indexed series for the expected_fields column, rebased to the first record.”
Weekly metadata completeness snapshot
“Here are 30 metadata completeness records from last week across our data warehouse — each has a row_id, site_group, date, present_fields, and expected_fields. Give me both a Base-100 series and a 5-bin histogram for present_fields so I can share a completeness summary with the team.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-05-163?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local analytical computation on metadata completeness data — specifically when you want both a Base-100 indexed time series and an equal-width histogram in a single call for up to 200 rows. It requires no external data lookup and is ideal for data quality auditing workflows where you already have present_fields and expected_fields counts per record.
Side effects
- More than 200 rows submitted — endpoint rejects input exceeding maxItems limit
- Missing required row fields (row_id, date, present_fields, expected_fields) — validation error returned
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- bins value outside 1–30 range — rejected by schema
- base_index out of range (0–199) — schema validation error
- Null values in present_fields or expected_fields may affect computation output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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