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Specification Traceability — Trailing Mean Series + Adjacent Row Changes
x402
Specification Traceability — Trailing Mean Series + 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 2026-10-24).
Computes trailing mean time series and adjacent row change analysis for specification traceability data (mapped_requirements, total_requirements) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Specification traceability — Trailing mean series + Adjacent row changes: Trailing mean series + Adjacent row changes for supplied specification traceability records (mapped_requirements, total_requirements). 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 analytical reports: (1) a trailing mean series showing the rolling average of the selected field (mapped_requirements or total_requirements) over the specified window, and (2) an adjacent row changes report showing deltas between consecutive rows — both computed locally without external lookups.
Example use cases
Requirements coverage trend analysis
“I have a week of specification traceability records — each row has a date, document group, mapped_requirements, and total_requirements. Can you run a trailing mean with window 3 and adjacent row changes on the mapped_requirements field so I can see the smoothed trend and day-over-day shifts?”
Sprint-over-sprint traceability delta report
“Can you compute adjacent row changes and a rolling average (window size 2) for total_requirements across my traceability dataset? I have about 50 rows covering the last sprint cycle and want to see where requirement counts jumped or dropped between consecutive entries.”
Multi-group specification drift detection
“I've got specification traceability records for three document groups over the past month — roughly 120 rows. Please run the trailing mean series and adjacent row changes analysis on mapped_requirements with a window of 5 so I can spot which groups are drifting.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-21-146?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a trailing/rolling mean time series and adjacent row change deltas for specification traceability records in a single call. It is ideal for lightweight, local analytical computation on up to 200 rows without requiring external data enrichment, predictions, or professional assessments. Prefer it over general analytics platforms when you need cheap ($0.01), deterministic, offline computation on requirements traceability metrics.
Side effects
- Input array exceeds 200 rows — request will be rejected
- window parameter larger than the number of input rows — may produce empty or partial series
- Missing required fields (row_id, date, mapped_requirements, total_requirements) per row — validation error
- Date values not matching YYYY-MM-DD pattern — schema validation failure
- Payment of 0.01 USDC not completed — 402 response blocking execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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