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Customer Segment Observations — Numeric Interval Filter + Keyed Dataset Comparison
x402
Customer Segment Observations — 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 2026-10-25).
Applies a numeric interval filter and performs a keyed dataset comparison on two supplied customer segment observation datasets (account_count or revenue_amount), returning up to 2 analytical reports for up to 200 rows each.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Numeric interval filter + Keyed dataset comparison: Numeric interval filter + Keyed dataset comparison for supplied customer segment observations records (account_count, revenue_amount). 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
Two analytical reports: (1) a numeric interval filter result identifying which customer segment rows fall within specified numeric ranges for the chosen field (account_count or revenue_amount), and (2) a keyed dataset comparison report showing differences between the primary and comparison datasets, keyed by row identifiers. Results cover up to 200 rows per dataset with no live lookup or external enrichment.
Example use cases
Monthly revenue band comparison across groups
“I have this month's and last month's customer segment records — each has company_group, date, and revenue_amount — can you apply a numeric interval filter and compare the two datasets on revenue_amount so I can see which groups shifted bands?”
Account count range audit between two snapshots
“I've got two CSV exports of our customer segments (up to 150 rows each), both with account_count and company_group fields. Please run the interval filter and keyed dataset comparison on account_count so I can spot which groups moved in or out of our target range.”
Cross-period segment performance diff
“Can you compare these two customer segment observation tables — one from Q1 and one from Q2, each with row_id, company_group, date, account_count, and revenue_amount — using the numeric interval filter and keyed comparison on revenue_amount?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-134?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to both filter customer segment records by numeric ranges AND compare two versions of a segment dataset side-by-side in one call. It is ideal for before/after analyses, period-over-period comparisons, or auditing which segments fall within target numeric bands — all processed locally without any live data lookup or external calls. Best suited for datasets up to 200 rows where two reports are needed for a single $0.01 fee.
Side effects
- More than 200 rows submitted — request rejected with validation error
- Missing required row fields (row_id, company_group, date, account_count, revenue_amount) — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Field value out of allowed numeric range (±1 trillion) — validation error
- Empty rows array — minItems constraint violation
- Invalid field enum value (must be account_count or revenue_amount) — enum validation error
- Payment not processed or insufficient USDC — 402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| maximum | number | |
| minimum | number |
Tags
x402
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