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Data Collection Completeness — Numeric Interval Filter + Base-100 Series
x402
Data Collection Completeness — Numeric Interval Filter + 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 2026-10-25).
Analyzes data collection completeness records by applying a numeric interval filter and generating a Base-100 indexed series, producing two independent analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data collection completeness — Numeric interval filter + Base-100 series: Numeric interval filter + Base-100 series 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: (1) a numeric interval filter report showing which rows fall within the specified min/max range for the chosen field, and (2) a Base-100 series report indexing values relative to the specified base row. Both reports operate on the supplied completeness records (observed_values and expected_values) across up to 200 rows.
Example use cases
Course enrollment completeness audit
“I have daily enrollment records for two course groups over the past semester — each row has observed and expected enrollment counts. Can you filter only the rows where observed_values fall between 10 and 500, index everything to a Base-100 series starting from the first row, and give me both analytical reports?”
Education survey response rate analysis
“My team collected survey responses across multiple course groups and I need to check data completeness. I have about 80 rows with observed_values and expected_values per date. Please run the numeric interval filter on the expected_values field between 0 and 200 and generate the Base-100 series using row 0 as the base point.”
Training data coverage monitoring
“We're tracking how completely our training datasets are being populated each day — I have 120 rows grouped by course group with dates, observed counts, and expected counts. Filter the observed_values field between 5 and 1000 and give me a Base-100 series anchored to base index 0, along with both completeness reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-22-128?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need dual analytical outputs — both a numeric range filter and a Base-100 indexed series — on data collection completeness records (observed vs expected values) in a single $0.01 call. It is ideal for education or training data contexts with course group segmentation, where you need up to 200 rows processed locally without any live lookup or external data enrichment.
Side effects
- Exceeding 200 rows causes rejection — keep input to maxItems limit
- Missing required row fields (row_id, date, observed_values, expected_values) will cause validation failure
- Invalid date format (not YYYY-MM-DD) will fail pattern validation
- Null values in observed_values or expected_values may affect series computation
- base_index out of range (must be 0–199) will be rejected
- field enum value must be exactly 'observed_values' or 'expected_values'
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number | |
| base_index | integer |
Tags
x402
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