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Data Collection Completeness — String Normalisation + Numeric Row Ordering
x402
Data Collection Completeness — String Normalisation + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Normalises strings and sorts rows numerically for up to 200 data-collection completeness records, producing two analytical reports on observed vs. expected values.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data collection completeness — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied data collection completeness records (observed_values, expected_values). 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 independent analytical reports covering string-normalised and numerically ordered representations of the supplied completeness records, comparing observed_values against expected_values for up to 200 rows across course groups and dates — all computed locally with no external lookups.
Example use cases
Course group completeness audit
“I need to audit my course group data — can you normalise the strings and sort numerically for these completeness records: row-1, group-a, 2026-11-01, observed 50, expected 45; row-2, group-b, 2026-11-02, observed 30, expected 40; row-3, group-a, 2026-11-03, observed 60, expected 55? Analyse the observed_values field and give me both completeness reports.”
Expected vs observed value ordering
“I have a dataset of 5 completeness rows for my education project and I want to see them sorted numerically by expected_values with string normalisation applied — rows are row-A through row-E for groups alpha and beta from 2026-09-01 to 2026-09-05, with expected values 10, 20, 5, 15, 25 and observed values 9, 22, 4, 14, 26. Can you run the two-report analysis for me?”
Monthly data collection review
“Can you take my monthly data collection completeness records — 8 rows across course groups x1 and x2 from 2026-10-01 to 2026-10-08, with observed and expected values ranging from 100 to 800 — normalise the strings, order them numerically, and produce the two analytical completeness reports on the observed_values field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-22-025?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 data-collection completeness records with observed and expected numeric values and need both string normalisation and numeric row ordering in a single lightweight call for $0.01 USDC. It is ideal for education or course-group datasets where you want two formatted analytical reports without any external lookup, prediction, or live data dependency.
Side effects
- More than 200 rows submitted — request rejected, maxItems constraint violated
- Missing required fields (row_id, date, observed_values, expected_values) — validation error
- Date not in YYYY-MM-DD format — pattern mismatch error
- Numeric values outside ±1,000,000,000,000 range — schema rejection
- Invalid field enum value (not 'observed_values' or 'expected_values') — validation error
- Empty rows array — minItems constraint violated
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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