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Document Section Coverage — Numeric Interval Filter + Keyed Dataset Comparison
x402
Document Section Coverage — Numeric Interval Filter + Keyed Dataset Comparison 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).
Analyzes document section coverage records by applying a numeric interval filter and comparing two keyed datasets, returning up to 2 analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Document section coverage — Numeric interval filter + Keyed dataset comparison: Numeric interval filter + Keyed dataset comparison for supplied document section coverage records (present_sections, required_sections). 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 up to 2 analytical reports: one numeric interval filter report and one keyed dataset comparison report, both computed locally against the supplied document section coverage rows. Reports include statistical breakdowns on present_sections or required_sections values across document groups and dates, with no external lookups or predictions.
Example use cases
Compliance gap check across document groups
“I need to check which document groups have present_sections values falling within a certain numeric interval, and then compare that against our reference dataset to spot gaps — here are two sets of records (about 40 rows each) with document_group, date, present_sections, and required_sections. Please run both the interval filter and keyed dataset comparison on the present_sections field.”
Monthly section coverage audit between periods
“Can you compare this month's document section coverage records against last month's for the same document groups? I have both datasets with row_id, document_group, date, present_sections, and required_sections — run the interval filter and dataset comparison on present_sections and tell me what changed.”
Required sections fulfillment analysis
“I want to analyze whether our required_sections counts are being met across document groups — I have a primary dataset and a comparison dataset, each about 100 rows, with document_group, date, present_sections, and required_sections. Please filter by numeric interval and compare the two datasets keyed by document group using the required_sections field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-01-134?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to perform both a numeric interval filter and a keyed dataset comparison on document section coverage data (present_sections vs required_sections) in a single call, for up to 200 rows per dataset. It is ideal when you have two structured datasets keyed by document_group and want purely local, offline analytics without any external lookups, predictions, or professional assessments. At $0.01 USDC for both reports together, it is cost-effective for batch document compliance checks or periodic coverage audits.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, document_group, date, present_sections, required_sections) cause validation errors
- Invalid date format (non-YYYY-MM-DD) triggers schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) are rejected
- Empty rows array fails minItems:1 constraint
- Invalid field enum value (not 'present_sections' or 'required_sections') causes error
- Mismatched row_id keys between primary and comparison datasets may yield empty comparison results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| maximum | number | |
| minimum | number |
Tags
x402
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