{"uid":"cap_2uLrn9Zwgky9jO_gHzfd_","slug":"sampling-observations-string-normalisation-daily-sum-series-10561079","name":"Sampling Observations — String Normalisation + Daily Sum Series","description":"Sampling observations — String normalisation + Daily sum series: String normalisation + 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-15-027?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_yMVx9Yk09DuQvHB3uKrzC","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":"Runs two local analytical reports on up to 200 sampling observation rows: string normalisation of text fields and a daily sum series aggregation of numeric sample values or weights.","exampleAgentPrompt":"I have 150 sampling observation rows with dataset_group labels and daily sample_value readings — can you normalize the string fields and generate a daily sum series for sample_value from these records?","exampleUseCases":[{"title":"Daily survey response aggregation","prompt":"I've got 80 survey sample rows with dates, group labels, and response scores as sample_value — can you normalize the group name strings and give me a daily sum of sample_value across all of them?"},{"title":"Weighted sample totals by date","prompt":"I have a batch of 120 observation records with sample_weight values across several dates and dataset groups. Please normalize the group strings and produce a daily sum series using sample_weight as the field."},{"title":"Data quality pass before reporting","prompt":"Before I finalize my weekly report, can you run string normalization on the dataset_group labels and compute daily sums of sample_value for these 60 sampling rows I'm pasting in?"}],"resultDescription":"Returns two analytical reports: (1) a string normalisation report covering the dataset_group and row_id text fields, and (2) a daily sum series aggregating the selected numeric field (sample_value or sample_weight) by date — all computed locally with no external lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit, request rejected","Missing required fields (row_id, dataset_group, date, sample_value, or sample_weight) — row-level validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Numeric values outside allowed range (±1 trillion) — schema rejection","Invalid field selector (not 'sample_value' or 'sample_weight') — enum validation error"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and daily sum series aggregation on sampling observation data in a single low-cost call. Ideal for up to 200 rows of structured records with date, group, and numeric sample fields where no live data lookup, prediction, or external enrichment is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:57.800Z","isFirstParty":false,"canonicalSlug":"sampling-observations-string-normalisation-daily-sum-series-10561079"}