{"uid":"cap_SE924R7oNIIUgbTxiBOcE","slug":"market-survey-observations-numeric-row-ordering-two-measure-correlation-c9984f41","name":"Market Survey Observations — Numeric Row Ordering + Two-Measure Correlation","description":"Market survey observations — Numeric row ordering + Two-measure correlation: Numeric row ordering + Two-measure correlation 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-06-120?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_eJ04scpYkBQF56I3udJOD","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 analytical reports on market survey data: numeric row ordering and Pearson/rank correlation between respondent_count and sample_weight, for up to 200 rows.","exampleAgentPrompt":"Run two reports on my market survey data — numeric row ordering and correlation between respondent_count and sample_weight — for these records: row-1 (group-a, 2025-01-10, respondent_count=42, sample_weight=1.5), row-2 (group-b, 2025-01-11, respondent_count=87, sample_weight=3.2), row-3 (group-a, 2025-01-12, respondent_count=65, sample_weight=2.8). Use respondent_count as the primary field.","exampleUseCases":[{"title":"Survey panel weighting validation","prompt":"I have 50 rows of market survey data with respondent counts and sample weights per company group and date — can you run the numeric row ordering and correlation reports so I can see if higher respondent counts tend to have higher sample weights?"},{"title":"Cross-group response rate analysis","prompt":"Compare respondent_count and sample_weight correlation across my two company groups (group-a and group-b) using these 30 survey observation rows — give me both the ranked order and the two-measure correlation report."},{"title":"Survey data QA before reporting","prompt":"Before I finalize my market research report, run the numeric row ordering and correlation analysis on these 120 survey rows so I can check the statistical relationship between sample_weight and respondent_count and spot any outliers in the ordering."}],"resultDescription":"Returns two analytical reports: (1) a numerically ordered ranking of the supplied survey rows by the chosen measure (respondent_count or sample_weight), and (2) a correlation analysis between respondent_count and sample_weight across all submitted rows. Results are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, company_group) cause validation errors","Null values in both respondent_count and sample_weight may prevent meaningful correlation","Invalid date format (not YYYY-MM-DD) fails schema validation","Empty rows array returns an error","field enum value outside 'respondent_count' or 'sample_weight' causes rejection"],"whenToPreferThis":"Choose this endpoint when you have market survey tabular data and need lightweight, local statistical analysis — specifically numeric row ordering and two-measure correlation — without sending data to a full analytics platform. Ideal for quick QA, pre-reporting checks, or pipeline steps that need correlation stats on small-to-medium survey datasets (up to 200 rows) at minimal cost ($0.01 per call covering both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:13.946Z","isFirstParty":false,"canonicalSlug":"market-survey-observations-numeric-row-ordering-two-measure-correlation-c9984f41"}