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Metadata Completeness — Numeric Row Ordering + Base-100 Series
x402
Metadata Completeness — Numeric Row Ordering + Base-100 Series 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).
Computes numeric row ordering and base-100 index series for metadata completeness records (present_fields vs expected_fields) across up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Metadata completeness — Numeric row ordering + Base-100 series: Numeric row ordering + Base-100 series 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 for the supplied rows: (1) a numeric row ordering of the records by the selected field (present_fields or expected_fields), and (2) a base-100 index series rebased from the specified base_index row. All computation is performed locally with no external lookups; results cover up to 200 input rows.
Example use cases
Content pipeline completeness audit
“I have 50 metadata records from our content pipeline across three site groups for November 2026 — rank them by numeric row order and produce a base-100 index series on the present_fields values starting from row 0, so I can see which records are most complete.”
Expected vs present fields gap analysis
“Can you take these 100 metadata rows from our product catalog (dates in 2026, groups 'catalog-a' through 'catalog-d') and generate both a numeric ordering report and a base-100 series on expected_fields with base index at 0, so I can identify completeness trends over time?”
Site group metadata benchmarking
“I want to benchmark metadata completeness across my two site groups — I have 80 rows from January to March 2027, each with present_fields and expected_fields counts. Please rank them numerically and rebase the present_fields to a base-100 series starting at row index 5 so I can compare groups fairly.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-05-117?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a numeric row ranking and a base-100 rebased index series for metadata completeness data (present_fields vs expected_fields) in a single call. It is ideal for offline/batch analytical reporting on up to 200 rows of structured metadata completeness records where no live lookup or external data enrichment is needed. Prefer this over generic spreadsheet tools when you want two structured machine-readable reports from a single API call at low cost ($0.01 USDC).
Side effects
- Empty or missing rows array returns an error
- More than 200 rows submitted exceeds the maxItems limit
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- base_index out of range (0–199) rejected
- present_fields or expected_fields outside ±1,000,000,000,000 rejected
- Non-numeric values for present_fields or expected_fields cause validation failure
- Payment not included or insufficient USDC causes x402 payment-required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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