{"uid":"cap_YCvVS-eeibWv7MdzKz2M1","slug":"sampling-observations-string-normalisation-and-missing-value-fill-83283277","name":"Sampling Observations String Normalisation and Missing Value Fill","description":"Sampling observations — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill 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-15-037?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_iU65MDGEHh1kbBJ0zPNNl","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":"Normalises strings and fills missing values for up to 200 sampling observation records (sample_value or sample_weight) using zero, mean, or median imputation, returning two analytical reports.","exampleAgentPrompt":"Can you clean up my sampling observations — I have up to 150 rows with sample_value and sample_weight fields, normalise the strings, and fill any missing sample_value entries using the median method?","exampleUseCases":[{"title":"Survey data missing value imputation","prompt":"I have 80 rows of survey sampling data with some null sample_value entries. Can you normalise the strings and fill those missing values using the median so I get two clean analytical reports back?"},{"title":"Weighted sample zero-fill for batch processing","prompt":"I need to prep my sampling observations for analysis — about 120 rows with dataset_group and date fields. Please normalise the strings and fill any missing sample_weight values with zero."},{"title":"Group sample mean imputation for reporting","prompt":"I've got sampling records across two groups, group-a and group-b, for October 2026 — around 60 rows. Can you normalise the strings and impute any missing sample_value fields using the mean, and give me the two reports?"}],"resultDescription":"Two analytical reports covering string-normalised and missing-value-filled versions of the supplied sampling observation rows, with imputed values for the chosen field (sample_value or sample_weight) using the selected method (zero, mean, or median). No external lookups or predictions are performed; results are based entirely on the supplied data.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, dataset_group, date) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","Values outside allowed numeric range (-1e12 to 1e12) are rejected","Invalid method or field enum values cause schema validation failure","Empty rows array (minItems: 1 not met) returns error"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local string normalisation combined with explicit missing-value imputation (zero, mean, or median) for small-to-medium sampling datasets of up to 200 rows with sample_value and sample_weight fields, and you want two bundled analytical reports for a flat $0.01 USDC fee with no external network dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:37:47.954Z","isFirstParty":false,"canonicalSlug":"sampling-observations-string-normalisation-and-missing-value-fill-83283277"}