{"uid":"cap_SAlOxiD1Sd5PSH3ASj7mp","slug":"sampling-observations-numeric-interval-filter-daily-sum-series-4e8ee150","name":"Sampling Observations — Numeric Interval Filter + Daily Sum Series","description":"Sampling observations — Numeric interval filter + Daily sum series: Numeric interval filter + Daily sum series 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-15-125?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_70WTNnTRY6Qu9e8rCD74E","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":"Filters sampling observation rows by a numeric interval and computes a daily sum time series, returning two analytical reports for up to 200 supplied rows.","exampleAgentPrompt":"I have 150 sampling observation rows with sample_value and sample_weight fields — can you filter them to only include rows where sample_value is between 5 and 75, and also give me a daily sum series for sample_value across all dates?","exampleUseCases":[{"title":"Quality control range filtering","prompt":"I have 200 sensor readings with dates, sample_value, and sample_weight. Filter out any readings where sample_value falls outside 10 to 500, and show me the daily sum of sample_value for each date in the dataset."},{"title":"Survey response daily aggregation","prompt":"Here are 120 survey response rows — each has a date, a response score as sample_value, and a respondent weight as sample_weight. Keep only rows where sample_value is between 0 and 100, and give me the daily sum of those scores by date."},{"title":"Environmental sampling trend analysis","prompt":"I've got 80 environmental sampling records with dates and concentration values as sample_value and collection volume as sample_weight. Filter to samples with concentration between 2.5 and 50, and compute the daily total concentration summed across sample groups."}],"resultDescription":"Returns two analytical reports: (1) the subset of input rows whose selected field (sample_value or sample_weight) falls within the specified [minimum, maximum] numeric interval, and (2) a daily sum time series aggregating the selected field values by date across all supplied rows. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows supplied — request will be rejected or truncated","Rows missing required fields (row_id, dataset_group, date, sample_value, sample_weight) cause validation errors","Date strings not matching YYYY-MM-DD pattern will fail schema validation","Minimum greater than maximum threshold produces an empty interval filter result","Null values in sample_value or sample_weight may be excluded from aggregation","Values outside ±1,000,000,000,000 exceed schema bounds and will be rejected"],"whenToPreferThis":"Choose this endpoint when you have up to 200 tabular sampling observation rows (with date, sample_value, and sample_weight fields) and need both a numeric interval filter report and a daily sum time series in a single call for a flat $0.01 fee. It is ideal for lightweight, offline analytical tasks on supplied data where no live data lookup, prediction, or external enrichment is needed. Prefer alternatives if you need more than 200 rows, real-time data, or a different aggregation type (e.g., weighted mean, histogram).","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-numeric-interval-filter-daily-sum-series-4e8ee150"}