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Proposal Preparation — Numeric Distribution + Trailing Mean Series
x402
Proposal Preparation — Numeric Distribution + Trailing Mean Series 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).
Computes a numeric distribution report and a trailing mean time series for completed_sections or planned_sections fields in proposal preparation records (up to 200 rows).
Price / call$0.01
Success—
StatusUnknown
How this service works
Proposal preparation — Numeric distribution + Trailing mean series: Numeric distribution + Trailing mean series for supplied proposal preparation records (completed_sections, planned_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 two analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram bins) for the selected field, and (2) a trailing mean time series (rolling average over the specified window) for the same field — both computed locally from the supplied rows with no external data fetching.
Example use cases
Track proposal completion progress over time
“I have 50 rows of proposal preparation records with dates and completed_sections counts. Can you compute the trailing mean series with a window of 5 and also show me the numeric distribution so I can see how section completion has trended?”
Identify outliers in planned section counts
“Here are my proposal planning records for Q4 — each row has a date, document_group, and planned_sections. Run the numeric distribution and trailing mean (window 4) on planned_sections so I can spot any unusual spikes or outliers across groups.”
Compare section completion across document groups
“I want to understand the statistical spread of completed_sections across my proposal document groups. Can you generate the numeric distribution and a trailing mean series with window size 3 using my 120-row dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-08-076?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of proposal preparation data with completed_sections or planned_sections numeric fields and need both a distribution summary and a rolling mean time series in a single low-cost call ($0.01 USDC). It is ideal for lightweight, self-contained statistical analysis without needing to set up a data pipeline or analytics environment.
Side effects
- Fewer than 1 row supplied — returns validation error
- More than 200 rows supplied — rejected at input validation
- Invalid date format (non YYYY-MM-DD) — schema validation error
- Window size less than 2 or greater than 200 — validation error
- Field value outside allowed numeric range — schema rejection
- All values null for selected field — may return empty or degenerate statistics
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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