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Contract Milestones — Adjacent Row Changes + Secondary-Measure Weighted Mean
x402
Contract Milestones — Adjacent Row Changes + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Computes adjacent row-to-row changes and a secondary-measure weighted mean for contract milestone records (completed_items, planned_items) on up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Contract milestones — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean for supplied contract milestones records (completed_items, planned_items). 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 derived from the supplied milestone rows: (1) an adjacent row changes report showing the sequential delta between consecutive rows for the selected field, and (2) a secondary-measure weighted mean using the complementary measure as weights. Both reports are computed locally on up to 200 supplied rows with no external lookups.
Example use cases
Sprint completion delta tracking
“I have weekly sprint milestone rows for two teams over 6 weeks with completed_items and planned_items — can you calculate the adjacent row changes and weighted mean for completed_items so I can see how delivery pace is shifting sprint over sprint?”
Planned items weighted mean for contract audit
“Here are 12 rows of contract milestone records with dates, team groups, completed_items, and planned_items. Run me the adjacent row change report and secondary-measure weighted mean on planned_items so I can audit whether planning targets are consistent across the contract.”
Cross-team milestone progress comparison
“I've got milestone data for group-alpha and group-beta across 20 dates — completed_items and planned_items filled in for each row. Please compute the adjacent differences and weighted mean for completed_items so I can compare momentum between the two teams.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-11-159?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have tabular contract milestone records with completed_items and planned_items and need both a sequential row-difference analysis and a weighted mean statistic in a single low-cost call. Prefer it over generic spreadsheet tools when you want structured JSON output for both reports simultaneously without writing custom analytics code. It is ideal for small-to-medium datasets (up to 200 rows) where you want reproducible, deterministic local computation without any live data dependencies.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, completed_items, planned_items) cause row-level errors
- Invalid date format (not YYYY-MM-DD) triggers validation failure
- Null values in the primary or secondary measure fields may produce partial or undefined weighted mean results
- Field enum value outside 'completed_items' or 'planned_items' causes schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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