{"uid":"cap_BotgsO7634kkpdb7SG28w","slug":"sampling-observations-analytics-category-frequencies-adjacent-row-dcec494d","name":"Sampling Observations Analytics: Category Frequencies + Adjacent Row Changes","description":"Sampling observations — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes 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-15-104?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_djYpqqMVsMcumB_aG37e_","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 supplied sampling observation rows to produce two reports: category frequency distributions and adjacent row change metrics, using local analytical engines with no external lookups.","exampleAgentPrompt":"I have a list of up to 200 sampling observation rows with row IDs, dates, group labels, sample values, and sample weights — can you run two analytical reports on them: one showing category frequencies by dataset_group and another showing adjacent row changes in sample_value?","exampleUseCases":[{"title":"Survey response group frequency audit","prompt":"I've collected 150 survey sample records, each with a row ID, date, group label, sample value, and weight. Can you give me a frequency breakdown of how often each group appears and show me how the sample_value changes from one row to the next?"},{"title":"Quality control sequential change detection","prompt":"Here are 80 production sampling observations with row IDs, dates, process group labels, measured values, and weights. I need two reports: one showing the count and frequency of each process group, and one showing the change in measured values between adjacent rows."},{"title":"Environmental monitoring category summary","prompt":"I have 60 environmental sampling records tagged by site group, each with a date, sample value, and sample weight. Please compute the category frequencies across site groups and the adjacent row changes in sample_value so I can spot patterns."}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency table showing how often each dataset_group value appears across the supplied rows (optionally weighted), and (2) an adjacent row change report showing the difference in the selected field (sample_value or sample_weight) between consecutive rows, based on the submitted data only with no external lookups.","failureModes":["Fewer than 1 row submitted — violates minItems constraint","More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) on any row","Invalid date format not matching YYYY-MM-DD pattern","Non-numeric or out-of-range values for sample_value or sample_weight","Invalid enum value for the 'field' parameter (must be sample_value or sample_weight)","Payment failure via x402 protocol resulting in no response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 sampling observation records and need two specific analyses — category frequency distribution and adjacent row change detection — in a single low-cost API call ($0.01 USDC). It is ideal for offline/batch statistical summaries of structured sampling data where no live data lookup, prediction, or external enrichment is needed. Prefer it over general-purpose analytics platforms when you want a lightweight, deterministic computation on supplied data only.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:07.583Z","isFirstParty":false,"canonicalSlug":"sampling-observations-analytics-category-frequencies-adjacent-row-dcec494d"}