{"uid":"cap_8fwpNcpZHLbQWwnlW_xfy","slug":"proposal-preparation-data-cleaner-exact-row-deduplication-iqr-outlier-bb6b5035","name":"Proposal Preparation Data Cleaner — Exact Row Deduplication + IQR Outlier Flags","description":"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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-writing-08-049?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","document_group","date","completed_sections","planned_sections"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"document_group":{"type":"string","default":"","maxLength":80},"planned_sections":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"completed_sections":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","document_group":"group-a","planned_sections":1,"completed_sections":10},{"date":"2026-10-02","row_id":"row-2","document_group":"group-b","planned_sections":2,"completed_sections":20},{"date":"2026-10-03","row_id":"row-3","document_group":"group-a","planned_sections":3,"completed_sections":15},{"date":"2026-10-04","row_id":"row-4","document_group":"group-b","planned_sections":4,"completed_sections":30}],"maxItems":200,"minItems":1},"field":{"enum":["completed_sections","planned_sections"],"type":"string","default":"completed_sections"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_A0TtOx0A420c2gNuO9s1d","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"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.","exampleAgentPrompt":"Can you deduplicate and flag IQR outliers in my proposal preparation data? I have rows with row_id, document_group, date, completed_sections, and planned_sections — up to 200 rows — and I want 2 reports checking the completed_sections field.","exampleUseCases":[{"title":"Grant proposal data quality check","prompt":"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?"},{"title":"RFP progress anomaly detection","prompt":"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."},{"title":"Proposal audit before submission","prompt":"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."}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:04.081Z","isFirstParty":false,"canonicalSlug":"proposal-preparation-data-cleaner-exact-row-deduplication-iqr-outlier-bb6b5035"}