{"uid":"cap_kVXJfhT5kKd1qa4N7yjH6","slug":"proposal-preparation-data-quality-audit-record-quality-string-79b594df","name":"Proposal Preparation Data Quality Audit — Record Quality, String Normalisation & IQR Outlier Flags","description":"Proposal preparation — Record quality audit + String normalisation + IQR outlier flags: Record quality audit + String normalisation + IQR outlier flags for supplied proposal preparation records (completed_sections, planned_sections). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-writing-08-203?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_z25fRFmXfy4UmdvWnjsDx","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 three local analytical reports on proposal preparation records (completed_sections, planned_sections): record quality audit, string normalisation, and IQR-based outlier detection — up to 200 rows per call.","exampleAgentPrompt":"Can you run a data quality audit on my proposal records — check for record quality issues, normalise the string fields, and flag any IQR outliers in the completed_sections field? Here are my 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":"Pre-submission proposal data cleanup","prompt":"Before I submit this proposal dataset, can you audit the record quality, normalise any string inconsistencies, and flag outliers in the completed_sections field? I have 12 rows across two document groups with dates ranging from 2026-09-01 to 2026-09-12."},{"title":"Outlier detection in planned sections","prompt":"I want to check if any of my planned_sections counts look statistically unusual — can you run the IQR outlier check and full quality audit on my 50-row proposal tracking dataset? The field to check is planned_sections."},{"title":"Monthly proposal tracking QA","prompt":"Run a quality audit on my monthly proposal progress records — I need the string normalisation report and IQR outlier flags for the completed_sections field across all 80 rows I'll send you, grouped by document_group."}],"resultDescription":"Returns three independent analytical reports for the submitted proposal rows: (1) a record quality audit identifying missing values, format errors, and data integrity issues; (2) a string normalisation report flagging and correcting inconsistencies in text fields like document_group; (3) IQR-based outlier flags on the selected numeric field (completed_sections or planned_sections), identifying statistically extreme values. All analysis is performed locally with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, completed_sections, planned_sections) causes rejection","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Null or out-of-range numeric values (beyond ±1,000,000,000,000) may be rejected","Empty rows array returns an error","Selecting an invalid field enum value fails schema validation"],"whenToPreferThis":"Choose this endpoint when you need a fast, low-cost ($0.01 USDC) batch quality check on proposal preparation records specifically containing completed_sections and planned_sections fields. It is ideal for pre-analysis data validation pipelines where you want three combined reports (quality audit, string normalisation, outlier flags) in a single call without requiring live lookups or external integrations. Best suited for datasets up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:55:15.191Z","isFirstParty":false,"canonicalSlug":"proposal-preparation-data-quality-audit-record-quality-string-79b594df"}