{"uid":"cap_qEfpXer0VTY0cOTahpTXR","slug":"market-survey-observations-iqr-outlier-flags-date-by-category-pivot-85014fc1","name":"Market Survey Observations — IQR Outlier Flags + Date by Category Pivot","description":"Market survey observations — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot for supplied market survey observations records (respondent_count, sample_weight). 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-company-06-178?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","respondent_count","sample_weight"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_group":{"type":"string","default":"","maxLength":80},"sample_weight":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"respondent_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","sample_weight":1,"respondent_count":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","sample_weight":2,"respondent_count":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","sample_weight":3,"respondent_count":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","sample_weight":4,"respondent_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["respondent_count","sample_weight"],"type":"string","default":"respondent_count"}}},"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_7QM8XKSLDLORFLrEcPCBW","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":"Analyzes market survey observation records to produce two reports: IQR-based outlier flags and a date-by-category pivot, for up to 200 rows.","exampleAgentPrompt":"I have 150 rows of market survey data with respondent_count and sample_weight values across company groups and dates — can you run IQR outlier detection and a date-by-category pivot on the respondent_count field for me?","exampleUseCases":[{"title":"Outlier detection in survey panel data","prompt":"Here's my market survey dataset with 80 rows of respondent counts across group-a and group-b over the past quarter — can you flag any IQR outliers in the respondent_count field and also give me a date-by-category breakdown?"},{"title":"Sample weight quality check across groups","prompt":"I need to audit my survey sample weights for statistical anomalies — I've got 120 rows with company_group and date info. Please run the IQR outlier flags and the date-by-category pivot on the sample_weight field."},{"title":"Survey data pivot for trend reporting","prompt":"Can you take these 60 market survey observation records and produce two reports: one showing which rows have outlier sample weights by IQR, and another pivoting the sample_weight by date and company group so I can spot trends?"}],"resultDescription":"Returns two analytical reports for the supplied market survey rows: (1) IQR outlier flags identifying which rows have statistically anomalous values for the selected field (respondent_count or sample_weight), and (2) a date-by-category pivot table aggregating the selected field across company groups and dates. All analysis is performed locally on the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, company_group, date, respondent_count, sample_weight) on any row","Date field does not match YYYY-MM-DD pattern — validation error","Field enum value not one of 'respondent_count' or 'sample_weight'","Empty rows array submitted — minimum 1 row required","Numeric values outside allowed range (±1,000,000,000,000) rejected"],"whenToPreferThis":"Choose this endpoint when you need simultaneous IQR outlier detection AND a date-by-category pivot on market survey data in a single $0.01 call covering up to 200 rows. It is ideal for survey QA workflows where you want to both flag anomalous respondent counts or sample weights and understand how those metrics distribute across company groups over time. Prefer it over single-report alternatives when you need both analyses without making two separate API calls.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T06:44:38.669Z","isFirstParty":false,"canonicalSlug":"market-survey-observations-iqr-outlier-flags-date-by-category-pivot-85014fc1"}