{"uid":"cap_6wcKk9C7skosobfEk7D-X","slug":"survey-response-weights-base-100-series-explicit-missing-value-fill-89773ef6","name":"Survey Response Weights — Base-100 Series + Explicit Missing-Value Fill","description":"Survey response weights — Base-100 series + Explicit missing-value fill: Base-100 series + Explicit missing-value fill for supplied survey response weights records (response_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-economics-24-169?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","region","date","response_value","sample_weight"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"region":{"type":"string","default":"","maxLength":80},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"sample_weight":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"response_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","region":"group-a","row_id":"row-1","sample_weight":1,"response_value":10},{"date":"2026-10-02","region":"group-b","row_id":"row-2","sample_weight":2,"response_value":20},{"date":"2026-10-03","region":"group-a","row_id":"row-3","sample_weight":3,"response_value":15},{"date":"2026-10-04","region":"group-b","row_id":"row-4","sample_weight":4,"response_value":30}],"maxItems":200,"minItems":1},"field":{"enum":["response_value","sample_weight"],"type":"string","default":"response_value"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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__HS3kd10C0F_LWmM9GR66","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 a Base-100 index series and fills missing values for supplied survey response weight records (response_value, sample_weight) across up to 200 rows.","exampleAgentPrompt":"I have 4 survey response rows — row-1 through row-4, regions group-a and group-b, dates 2026-10-01 to 2026-10-04, response values 10, 20, 15, 30 with sample weights 1, 2, 3, 4 — can you generate a base-100 index series anchored to row index 0 and fill any missing response_value fields using median imputation?","exampleUseCases":[{"title":"Normalize consumer sentiment survey weights","prompt":"I have 50 weekly consumer sentiment survey rows with response_value scores and sample_weight fields — some weights are null. Can you build a base-100 index series anchored to the first row and fill the missing sample_weight values using mean imputation?"},{"title":"Rebase regional polling data to index","prompt":"I've got polling data across 4 regions over 3 months, up to 120 rows, with response_value and sample_weight columns. Some response values are missing — please fill them with zero and give me a base-100 series starting from row index 0."},{"title":"Audit and fill missing weights in economic survey","prompt":"Here are 200 rows of economic survey data with sample_weight and response_value fields — several sample_weight entries are null. I need both a base-100 index series anchored at position 0 and explicit median-filled values for the missing sample_weight column."}],"resultDescription":"Two analytical reports covering: (1) a Base-100 index series for the selected field rebased to the specified row, and (2) an explicit missing-value fill for up to 200 survey rows using zero, mean, or median imputation — all computed locally without external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Invalid date format (not YYYY-MM-DD) causes schema rejection","base_index out of range (0–199) relative to actual row count","Numeric values outside ±1,000,000,000,000 are rejected","Missing required fields (row_id, region, date) cause row-level errors","All-null target field may produce undefined mean/median imputation"],"whenToPreferThis":"Choose this endpoint when you have tabular survey response weight data (up to 200 rows) that needs both a base-100 index normalization and explicit null imputation in a single call, without requiring any live data lookup, prediction, or external API integration. It is particularly useful for economics, polling, or weighted sampling workflows where reproducible local analytics are sufficient.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-03T12:41:55.748Z","isFirstParty":false,"canonicalSlug":"survey-response-weights-base-100-series-explicit-missing-value-fill-89773ef6"}