{"uid":"cap_N0Gxbv30CJ3VnnkNdlV0b","slug":"sampling-observations-daily-sum-series-and-adjacent-row-changes-31e4cbd2","name":"Sampling Observations Daily Sum Series and Adjacent Row Changes Analytics","description":"Sampling observations — Daily sum series + Adjacent row changes: Daily sum series + 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-15-137?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_wCU4U4oWm3JEtqrlA9Rcs","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":"Computes two analytical reports for sampling observation data: a daily sum series and adjacent row changes, across up to 200 rows of sample_value/sample_weight records.","exampleAgentPrompt":"I have a set of sampling observation records with dates, sample values, and sample weights — can you run the daily sum series and adjacent row changes reports on them? Here are up to 200 rows with fields like row_id, dataset_group, date, sample_value, and sample_weight; analyze the sample_value field.","exampleUseCases":[{"title":"Daily totals for sensor readings","prompt":"I've got 150 rows of sensor sampling data with dates and readings — can you compute the daily sum series and adjacent row changes for the sample_value field so I can see daily totals and how readings shift between consecutive entries?"},{"title":"Survey weight drift analysis","prompt":"Here are my survey observation records across two groups (group-a and group-b) with dates and sample weights — run the daily sum series and adjacent row changes reports on the sample_weight field so I can see cumulative daily weights and spot any big jumps between rows."},{"title":"QA check on experimental measurements","prompt":"I have a dataset of 80 experimental measurements with row IDs, dates, and sample values — can you produce the daily sum series and the adjacent row changes for sample_value so I can verify daily aggregates and flag unusual shifts between consecutive observations?"}],"resultDescription":"Returns two analytical reports for the supplied observation rows: (1) a daily sum series showing aggregated sample values or sample weights per date, and (2) an adjacent row changes report showing the delta between consecutive rows. Results are computed locally from the supplied data with no external lookups or predictions.","failureModes":["More than 200 rows supplied — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) cause validation errors","Dates not matching YYYY-MM-DD pattern cause parsing errors","Values outside the allowed numeric range (±1 trillion) are rejected","Empty rows array returns an error","Invalid field selector (not 'sample_value' or 'sample_weight') causes a schema validation error"],"whenToPreferThis":"Choose this endpoint when you need two bundled analytical reports — a daily sum series and adjacent row changes — on sampling observation data with up to 200 rows, at a low flat cost of $0.01 USDC. It is best suited for offline or batch analytical tasks where no live data lookup, prediction, or external action is needed, and when both daily aggregation and consecutive-row delta analysis are required simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:15.804Z","isFirstParty":false,"canonicalSlug":"sampling-observations-daily-sum-series-and-adjacent-row-changes-31e4cbd2"}