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Proposal Preparation — String Normalisation + Daily Sum Series
x402
Proposal Preparation — String Normalisation + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Runs two local analytical reports on proposal preparation data: string normalisation and daily sum series aggregation, for up to 200 rows of completed/planned sections.
Price / call$0.01
Success—
StatusUnknown
How this service works
Proposal preparation — String normalisation + Daily sum series: String normalisation + Daily sum 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
Two analytical reports: (1) a string normalisation report cleaning and standardising text fields (document_group) across the submitted rows, and (2) a daily sum series report aggregating the selected numeric field (completed_sections or planned_sections) by date. Results are computed locally from the supplied data with no external lookups.
Example use cases
Daily progress tracking for proposal sections
“I have a spreadsheet of proposal preparation records with dates, document groups, and completed section counts — can you normalize the group name strings and compute daily sums of completed_sections so I can see how much progress was made each day?”
Planned vs completed section audit
“Run a string normalisation pass and a daily sum series on my proposal data — I want to look at the planned_sections field across my 150 rows spanning October 2026 and see the totals aggregated by date.”
Multi-group proposal pipeline summary
“I've got proposal tracking rows for document groups 'alpha-team' and 'beta-team' with dates and section counts — can you clean up the string fields and give me a daily sum series for completed_sections so I can report on pipeline throughput?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-08-027?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and daily sum series computed together on proposal preparation data (completed_sections or planned_sections) in a single low-cost call. Ideal for batch sizes up to 200 rows where no live data lookup, prediction, or external action is needed — pure local analytical computation on supplied records.
Side effects
- Rows array empty or missing — validation error returned
- More than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — row-level validation failure
- Field selector not in enum ['completed_sections','planned_sections'] — error
- Numeric values outside allowed range (±1,000,000,000,000) — rejection
- Missing required fields (row_id, date) — schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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