{"uid":"cap_ny71OLUt0g9IqXdXRtxiI","slug":"market-survey-observations-category-frequencies-daily-sum-series-5b1e3b94","name":"Market Survey Observations — Category Frequencies & Daily Sum Series","description":"Market survey observations — Category frequencies + Daily sum series: Category frequencies + Daily sum series 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-06-102?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_lTd9p295MLfW-KH_vVrGQ","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 up to 200 market survey observation rows to produce two reports: category frequency breakdown by company group and a daily sum time series for respondent_count or sample_weight.","exampleAgentPrompt":"I have 150 market survey rows with fields for company_group, date, respondent_count, and sample_weight — can you give me both a category frequency breakdown by group and a daily sum time series for respondent_count across all dates?","exampleUseCases":[{"title":"Brand tracker survey rollup","prompt":"I've got survey data from our brand tracker study — each row has a company_group, a date, and a respondent_count. Can you give me a frequency breakdown of how many responses came from each group, plus a daily total of respondent_count across all the dates we collected?"},{"title":"Panel weighting audit by day","prompt":"We ran a market panel survey and I need to check how sample_weight adds up each day and how it's distributed across our company segments. Can you compute both the category frequencies and the daily sum series for sample_weight using our observation records?"},{"title":"Competitive segment survey summary","prompt":"Here are 80 survey observation rows from our competitive research — each one has a company_group like 'group-a' or 'group-b', a date, and a respondent_count. Can you analyze the frequency of each group and the daily sum of respondent counts so I can see which segments and days had the most coverage?"}],"resultDescription":"Two analytical reports: (1) a category frequency table showing how observations distribute across company_group values, and (2) a daily sum time series aggregating the selected field (respondent_count or sample_weight) by date — both computed locally from the supplied rows with no external lookups.","failureModes":["Rows array is empty or missing — minimum 1 row required","More than 200 rows supplied — exceeds maxItems limit","Invalid date format (not YYYY-MM-DD) — pattern validation fails","Missing required row fields (row_id, company_group, date) — schema validation error","Numeric fields out of allowed range (±1,000,000,000,000)","Invalid field enum value — must be 'respondent_count' or 'sample_weight'"],"whenToPreferThis":"Choose this endpoint when you have raw market survey observation records and need two quick summary reports — category-level frequency distributions and day-by-day aggregated totals — in a single low-cost call without needing live data, external lookups, or predictions. Best suited for batches up to 200 rows where both a group breakdown and a temporal series are needed simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:40.521Z","isFirstParty":false,"canonicalSlug":"market-survey-observations-category-frequencies-daily-sum-series-5b1e3b94"}