{"uid":"cap_3caHxprk0iM9HCSGcw2Ve","slug":"staking-supplied-rewards-string-normalisation-date-by-category-pivot-8d75848f","name":"Staking Supplied Rewards — String Normalisation + Date by Category Pivot","description":"Staking supplied rewards — String normalisation + Date by category pivot: String normalisation + Date by category pivot 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-15-035?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_ZEJIfrm8E1tkcngjfbgjB","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":"Performs string normalisation and date-by-category pivot analysis on up to 200 staking rewards records (reward_units, staked_units), returning two analytical reports per call.","exampleAgentPrompt":"I have staking rewards records with reward_units and staked_units across several instrument groups and dates — can you run string normalisation and a date-by-category pivot on this data, using reward_units as the focus field? Here are my rows: [{row_id: 'row-1', date: '2026-10-01', instrument_group: 'eth-staking', reward_units: 10, staked_units: 100}, {row_id: 'row-2', date: '2026-10-02', instrument_group: 'sol-staking', reward_units: 20, staked_units: 200}].","exampleUseCases":[{"title":"Staking rewards category breakdown","prompt":"I have 50 rows of daily staking data across three instrument groups — can you normalise the group name strings and give me a date-by-category pivot on reward_units so I can see how each group performed day by day?"},{"title":"Comparing staked units across protocols","prompt":"Run string normalisation and a date-by-category pivot on my staking records focusing on staked_units — I want to see how my staked amounts vary across instrument groups over the past month. Here's the data with row IDs, dates, and instrument groups."},{"title":"Pre-reporting staking data cleanup","prompt":"Before I build my staking performance report, can you normalise the instrument_group strings and pivot these 120 rows of reward_units data by date and category so I have a clean structured summary to work from?"}],"resultDescription":"Returns two reports: (1) a string normalisation report cleaning instrument_group values across all input rows, and (2) a date-by-category pivot table showing the selected field (reward_units or staked_units) broken down by date and instrument_group. Covers up to 200 input rows with no external data lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, instrument_group, date, reward_units, staked_units) causes validation error","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Numeric values outside ±1,000,000,000,000 range rejected","Empty rows array (minItems: 1 not met) causes error","Invalid field enum value (not 'reward_units' or 'staked_units') causes rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 staking rewards records and need both string normalisation of instrument group labels and a date-by-category pivot of numeric staking metrics (reward_units or staked_units) in a single low-cost call. It is ideal for pre-processing staking data before reporting or visualisation, and when no live data lookup, prediction, or external action is needed — just local analytical computation on supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:46:15.405Z","isFirstParty":false,"canonicalSlug":"staking-supplied-rewards-string-normalisation-date-by-category-pivot-8d75848f"}