{"uid":"cap_u9U1rjAAWfBpQd4pHW-u2","slug":"proposal-preparation-record-quality-audit-iqr-outlier-flags-849773fe","name":"Proposal Preparation Record Quality Audit + IQR Outlier Flags","description":"Proposal preparation — Record quality audit + IQR outlier flags: Record quality audit + 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-08-014?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_bBWrSOpTT_G8-d7y1J32H","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":"Runs two local analytical reports on proposal preparation records: a record quality audit and an IQR-based outlier detection for completed_sections or planned_sections values, across up to 200 rows.","exampleAgentPrompt":"Can you audit these proposal preparation records for data quality issues and flag any IQR outliers in the completed_sections field? I have 4 rows: row-1 (group-a, 2026-10-01, completed=10, planned=1), row-2 (group-b, 2026-10-02, completed=20, planned=2), row-3 (group-a, 2026-10-03, completed=15, planned=3), row-4 (group-b, 2026-10-04, completed=30, planned=4).","exampleUseCases":[{"title":"Proposal tracker data cleanse","prompt":"I've got a spreadsheet of proposal section completion data across multiple document groups — can you run a quality audit and flag any IQR outliers in completed_sections so I can clean up the bad rows before reporting?"},{"title":"Outlier detection in planned sections","prompt":"Check these 50 proposal records for outliers in the planned_sections field using IQR — I suspect a few entries have wildly off counts that are skewing our averages. Here are the rows with row_id, document_group, date, completed_sections, and planned_sections."},{"title":"Pre-submission proposal data validation","prompt":"Before I finalize our quarterly proposal report, can you audit this batch of proposal preparation records for data quality issues and highlight any rows where completed_sections looks like an IQR outlier?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying data issues such as missing values, format errors, or inconsistencies across the supplied proposal rows; and (2) IQR-based outlier flags identifying which rows have statistically anomalous values in the selected field (completed_sections or planned_sections). No external data is fetched; all analysis uses local engines on the submitted rows.","failureModes":["Fewer than 1 row submitted — returns validation error","More than 200 rows submitted — rejected with payload size error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Missing required fields (row_id, document_group, date) — request rejected","Invalid field enum value — rejected with enum constraint error","All values null in selected field — IQR outlier report may be empty or indicate insufficient data"],"whenToPreferThis":"Choose this endpoint when you need a combined data quality audit plus statistical outlier detection (IQR method) specifically for proposal preparation records containing completed_sections and planned_sections metrics. It is ideal for pre-reporting data cleansing, batch validation of proposal tracking exports, or catching anomalous section counts before analysis. It does not make predictions, perform live lookups, or provide professional assessments — use it for pure local analytical validation of supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:34:02.877Z","isFirstParty":false,"canonicalSlug":"proposal-preparation-record-quality-audit-iqr-outlier-flags-849773fe"}