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Issue Throughput — Numeric Interval Filter + Adjacent Row Changes
x402
Issue Throughput — Numeric Interval Filter + Adjacent Row Changes 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).
Filters issue throughput records (issues_opened/issues_closed) by a numeric interval and computes adjacent-row changes, returning two bundled analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Issue throughput — Numeric interval filter + Adjacent row changes: Numeric interval filter + Adjacent row changes for supplied issue throughput records (issues_opened, issues_closed). 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 bundled reports: (1) rows where the selected field (issues_opened or issues_closed) falls within the specified [minimum, maximum] interval, and (2) adjacent row-over-row differences for that field across the supplied dataset. Results cover up to 200 input rows and are computed locally without external lookups.
Example use cases
Sprint bug closure analysis
“Here's my sprint data with daily issues_closed counts for component 'backend' — filter it to rows where issues_closed is between 3 and 30, and show me how the number changed between consecutive days.”
Issue backlog growth monitoring
“I've got 90 days of issues_opened records for two teams. Can you filter to days where issues_opened was between 10 and 100, and also compute the adjacent row-over-row changes so I can see the trend?”
Identify anomalous issue spikes
“Run an interval filter on these issue throughput rows — I want to focus on issues_opened values between 0 and 15 for the 'frontend' component, and also give me the adjacent row changes so I can spot any sudden jumps.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-software-13-127?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have tabular issue throughput data (issues opened/closed per row) that you want to slice by a numeric range AND simultaneously inspect row-to-row changes, all in one paid call. It is ideal for software teams that export bug tracker data and need two complementary analyses (range filter + delta series) without setting up their own analytics pipeline. Prefer it over general-purpose analytics services when cost predictability ($0.01 per 2 reports, up to 200 rows) and simplicity matter more than custom aggregations.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, date, issues_opened, issues_closed) cause validation errors
- Date strings not matching YYYY-MM-DD pattern will fail schema validation
- Minimum greater than maximum produces an empty interval filter result
- Null numeric values in the selected field may produce null deltas in adjacent row changes
- Payment of 0.01 USDC not fulfilled causes 402 rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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