{"uid":"cap_iLzxC63nXIlF6jGK9Sxw5","slug":"sampling-observations-category-frequencies-numeric-row-ordering-7c87c411","name":"Sampling Observations — Category Frequencies + Numeric Row Ordering","description":"Sampling observations — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering for supplied sampling observations records (sample_value, 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-analytics-15-100?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","sample_value","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},"sample_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"sample_weight":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","sample_value":10,"dataset_group":"group-a","sample_weight":1},{"date":"2026-10-02","row_id":"row-2","sample_value":20,"dataset_group":"group-b","sample_weight":2},{"date":"2026-10-03","row_id":"row-3","sample_value":15,"dataset_group":"group-a","sample_weight":3},{"date":"2026-10-04","row_id":"row-4","sample_value":30,"dataset_group":"group-b","sample_weight":4}],"maxItems":200,"minItems":1},"field":{"enum":["sample_value","sample_weight"],"type":"string","default":"sample_value"}}},"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_GnjPVH93PLLHzoEk2i3Nz","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 sampling observation records to produce two reports: category frequency counts by dataset group and numeric row ordering by a chosen field (sample_value or sample_weight).","exampleAgentPrompt":"I have 150 sampling observation rows with group labels and numeric sample values — can you run category frequency counts and numeric row ordering on them, analyzing the sample_value field?","exampleUseCases":[{"title":"Survey response group frequency analysis","prompt":"I have 80 survey responses, each tagged with a respondent group and a score. Can you count how often each group appears and rank the rows by their sample_value field?"},{"title":"Weighted experiment sample ranking","prompt":"I've got 120 experiment signal records with sample weights assigned. Can you give me the frequency of each dataset group and order the rows numerically by sample_weight?"},{"title":"Quality check on sampling batch","prompt":"Here are 200 sampling observations from our field study with group labels and measurement values — can you run category frequency counts and rank all rows by sample_value so I can spot outliers?"}],"resultDescription":"Two analytical reports: (1) a category frequency table showing how often each dataset_group value appears across the supplied rows, and (2) a numeric row ordering report ranking all rows by the chosen field (sample_value or sample_weight). Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) cause rejection","Invalid date format (non YYYY-MM-DD) fails schema validation","Null values in the selected field may affect ordering output","Empty rows array is rejected (minItems: 1)","Invalid field enum value (anything other than sample_value or sample_weight) causes error"],"whenToPreferThis":"Choose this endpoint when you need both group/category frequency counting and numeric row ranking on the same set of sampling observation records in a single call for $0.01 USDC. Ideal for datasets up to 200 rows where no external data enrichment, prediction, or lookup is needed — just local analytical computation on supplied sample_value and sample_weight data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:37:36.005Z","isFirstParty":false,"canonicalSlug":"sampling-observations-category-frequencies-numeric-row-ordering-7c87c411"}