{"uid":"cap_GJEhfsDsaJIakKAdl0qbY","slug":"staking-supplied-rewards-numeric-distribution-explicit-missing-value-7ec483e4","name":"Staking Supplied Rewards — Numeric Distribution + Explicit Missing-Value Fill","description":"Staking supplied rewards — Numeric distribution + Explicit missing-value fill: Numeric distribution + Explicit missing-value fill for supplied staking supplied rewards records (reward_units, staked_units). 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-finance-15-085?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","instrument_group","date","reward_units","staked_units"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"reward_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"staked_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"instrument_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","reward_units":10,"staked_units":1,"instrument_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","reward_units":20,"staked_units":2,"instrument_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","reward_units":15,"staked_units":3,"instrument_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","reward_units":30,"staked_units":4,"instrument_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["reward_units","staked_units"],"type":"string","default":"reward_units"},"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_nczqorSYuhSEgZisfC0PU","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 numeric distribution statistics and fills missing values (zero/mean/median) for staking reward and staked unit records across up to 200 rows.","exampleAgentPrompt":"I have staking records for two instrument groups with some null reward_units values — can you run a numeric distribution report and fill any missing reward_units using median imputation across these 4 rows: row-1 group-a 2026-10-01 reward=10 staked=1, row-2 group-b 2026-10-02 reward=null staked=2, row-3 group-a 2026-10-03 reward=15 staked=3, row-4 group-b 2026-10-04 reward=30 staked=4?","exampleUseCases":[{"title":"Filling missing staking reward data","prompt":"I have 50 rows of daily staking data where some reward_units entries are null — please fill those missing values using mean imputation and give me the distribution report for reward_units across all rows."},{"title":"Distribution analysis for staked units","prompt":"Can you run a numeric distribution report on my staked_units data across 120 records grouped by instrument? The field I care about is staked_units and I want missing values filled with zero."},{"title":"Pre-reporting staking data cleanup","prompt":"Before I generate my monthly staking report, I need you to analyze the numeric distribution of reward_units and impute any nulls using median fill across my 80 rows of staking records for groups alpha and beta."}],"resultDescription":"Returns two analytical reports covering (1) numeric distribution statistics (e.g. min, max, mean, median, percentiles) and (2) explicit missing-value fills for the selected field (reward_units or staked_units), applied across up to 200 supplied staking records using the chosen imputation method (zero, mean, or median).","failureModes":["More than 200 rows submitted — request rejected with validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field value outside allowed range (-1T to 1T) — rejected","Missing required fields (row_id, instrument_group, date) — validation error","Empty rows array — minItems constraint violation"],"whenToPreferThis":"Choose this endpoint when you need both numeric distribution analysis and missing-value imputation on staking reward or staked unit data in a single call, without requiring external data lookups or live market feeds. Ideal for pre-processing staking datasets of up to 200 rows before reporting or downstream analytics, especially when null values need to be handled systematically via zero, mean, or median fill.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T13:17:30.443Z","isFirstParty":false,"canonicalSlug":"staking-supplied-rewards-numeric-distribution-explicit-missing-value-7ec483e4"}