{"uid":"cap_nBcDjYaSVRAygpaSeGat9","slug":"sampling-observations-string-normalisation-trailing-mean-series-e2c7b4fc","name":"Sampling Observations — String Normalisation + Trailing Mean Series","description":"Sampling observations — String normalisation + Trailing mean series: String normalisation + Trailing mean 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-15-028?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_7hsSaR-MaALGHK48CVSJ3","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 string normalisation and trailing mean series analytics on up to 200 rows of weighted sampling observation records, returning 2 reports per call.","exampleAgentPrompt":"Can you run string normalisation and trailing mean series analytics on my sampling observations? I have 4 rows with sample_value and sample_weight fields, grouped into group-a and group-b, dated from 2026-10-01 to 2026-10-04 — use sample_value as the field with a window of 2.","exampleUseCases":[{"title":"Quality control sampling trend analysis","prompt":"I have 50 weekly sampling observations with sample values and weights across two product groups. Can you normalise the strings and compute a trailing mean series using a window of 5 on the sample_value field so I can see the smoothed trend?"},{"title":"Survey response weight smoothing","prompt":"I've got 120 survey sample records with dates, group labels, and weighted scores. Run string normalisation and a rolling mean with window 10 on sample_weight so I can see how the weighted responses trend over time."},{"title":"Environmental monitoring data cleanup","prompt":"Here are 80 rows of environmental sampling readings with sample values and collection weights across monitoring stations. Give me the string normalisation and trailing mean series reports with a window of 3 on sample_value."}],"resultDescription":"Two analytical reports per call: (1) a string normalisation report applied to the supplied sampling observation records, and (2) a trailing mean series computed over the specified field (sample_value or sample_weight) using the given rolling window size — both derived entirely from the submitted data, with no external lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Invalid date format (must match YYYY-MM-DD pattern)","Missing required fields (row_id, dataset_group, date, sample_value, or sample_weight)","Window value outside allowed range (must be integer 2–200)","Field value not in enum (must be 'sample_value' or 'sample_weight')","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Payment not included or insufficient (requires 0.01 USDC via x402)"],"whenToPreferThis":"Choose this endpoint when you need two specific analytical operations — string normalisation and trailing mean series — applied together to weighted sampling observation records in a single low-cost call. Ideal for small-to-medium datasets (up to 200 rows) where you want offline, local analytical computation without any external data lookup or live inference. Best suited for time-series sampling data with group labels and weights.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:27.296Z","isFirstParty":false,"canonicalSlug":"sampling-observations-string-normalisation-trailing-mean-series-e2c7b4fc"}