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Proposal Preparation Data Cleaner — Exact Row Deduplication + IQR Outlier Flags
x402
Proposal Preparation Data Cleaner — Exact Row Deduplication + IQR Outlier Flags 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).
Deduplicates exact rows and flags IQR-based outliers in proposal preparation records (completed_sections, planned_sections) for up to 200 rows, producing 2 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Proposal preparation — Exact row deduplication + IQR outlier flags: Exact row deduplication + IQR outlier flags 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 2 independent analytical reports: (1) an exact row deduplication report identifying which rows are exact duplicates, and (2) an IQR-based outlier flagging report identifying rows where the selected numeric field (completed_sections or planned_sections) falls outside the interquartile range bounds.
Example use cases
Grant proposal data quality check
“I've got a CSV of grant proposal tracking records with completed_sections and planned_sections per document group and date. Can you deduplicate the exact rows and flag any outliers in completed_sections using IQR so I can clean the data before reporting?”
RFP progress anomaly detection
“We're tracking RFP section completion across multiple document groups over the past quarter. Please run deduplication and IQR outlier flagging on my planned_sections field so we can spot any data entry errors before the board review.”
Proposal audit before submission
“Before we submit our annual proposal report, can you check these 150 proposal preparation records for exact duplicates and statistical outliers in the completed_sections column? I want both the deduplication and the outlier report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-08-049?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local (no external lookup) data quality analysis on proposal preparation records specifically containing completed_sections and planned_sections fields. It is ideal for pre-analysis data cleaning pipelines where you want both exact deduplication and statistical outlier detection in a single cheap call ($0.01 USDC). Prefer this over generic data tools when your data fits the proposal tracking schema and you need two simultaneous report types without sending data to an ML or prediction service.
Side effects
- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds batch limit
- Invalid date format (non-YYYY-MM-DD) — schema validation error
- Missing required fields (row_id, document_group, date, completed_sections, planned_sections) — validation failure
- Invalid field enum value (not completed_sections or planned_sections) — schema rejection
- All rows unique — deduplication report returns empty duplicate set
- Insufficient data spread for IQR calculation (too few rows or zero variance) — outlier report may return no flags
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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