{"uid":"cap_pxxxVNavakQyaVGykt9St","slug":"staking-supplied-rewards-string-normalisation-iqr-outlier-flags-f211264c","name":"Staking Supplied Rewards — String Normalisation + IQR Outlier Flags","description":"Staking supplied rewards — String normalisation + IQR outlier flags: String normalisation + IQR outlier flags 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-15-032?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"}}},"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_UtQja2iKIhBkm0Xuy-zPG","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 string fields and flags IQR-based outliers in staking reward and staked-unit records for up to 200 rows, producing 2 analytical reports per call.","exampleAgentPrompt":"Can you run string normalisation and IQR outlier detection on my staking rewards data — I have about 50 rows with reward_units and staked_units fields, instrument groups like 'ETH-validator' and 'SOL-pool', and I want the outlier flags for reward_units?","exampleUseCases":[{"title":"Staking rewards data quality audit","prompt":"I have 120 rows of daily staking data with reward_units and staked_units for two instrument groups — 'btc-pool' and 'eth-validator' — can you normalise the string fields and flag any IQR outliers in reward_units so I can identify dirty records before reporting?"},{"title":"Detecting anomalous staking payouts","prompt":"My staking provider just gave me a CSV of 80 daily reward records across instrument groups 'cardano-stake' and 'solana-stake'. Can you check the staked_units column for IQR outliers and also normalise the instrument group strings, so I can spot any suspicious payouts?"},{"title":"Pre-pipeline staking data validation","prompt":"Before I load this staking history into our data warehouse, please run string normalisation and IQR outlier flagging on these 200 rows of reward data — the key fields are reward_units and staked_units, instrument group is 'polkadot-validator', and I want flags on the reward_units column."}],"resultDescription":"Two analytical reports per call: one covering string normalisation results for the instrument_group and date fields, and one providing IQR-based outlier flags for the selected numeric field (reward_units or staked_units). Each report covers up to 200 submitted rows and is computed locally with no external data lookups.","failureModes":["Rows array empty or missing — validation error returned","More than 200 rows submitted — request rejected with maxItems error","Invalid date format (not YYYY-MM-DD) — pattern validation failure","Numeric values outside ±1,000,000,000,000 — schema range error","Missing required fields (row_id, instrument_group, date, reward_units, staked_units) — 400-level error","Invalid field enum value (not 'reward_units' or 'staked_units') — enum validation error","Payment of 0.01 USDC not provided — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local analytical processing of staking reward records — specifically string normalisation plus IQR outlier detection — without needing live market data, predictions, or external lookups. It is ideal for data quality checks before ingesting staking data into pipelines, warehouses, or reports, and is cost-effective at $0.01 USDC for two reports on up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:46:37.080Z","isFirstParty":false,"canonicalSlug":"staking-supplied-rewards-string-normalisation-iqr-outlier-flags-f211264c"}