{"uid":"cap_ouIrb47dzexesQnuWG75x","slug":"staking-supplied-rewards-string-normalisation-category-frequencies-259253e9","name":"Staking Supplied Rewards — String Normalisation + Category Frequencies","description":"Staking supplied rewards — String normalisation + Category frequencies: String normalisation + Category frequencies 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-15-024?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}}},"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_ciQCB7kj50W7zByHTsj5C","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":"Analyzes up to 200 staking reward records by normalizing instrument_group/date strings and computing category frequency distributions across reward_units and staked_units fields.","exampleAgentPrompt":"Can you run string normalization and category frequency analysis on my staking reward records? I have these rows: row-1 on 2026-10-01 with reward_units=10 and staked_units=1 for group-a, and row-2 on 2026-10-02 with reward_units=20 and staked_units=2 for group-b — I need both reports.","exampleUseCases":[{"title":"Audit staking reward data quality","prompt":"I have about 150 staking reward entries across several instrument groups like eth-validators and sol-stakers with dates from last quarter. Can you normalize the string fields and give me a frequency breakdown of how often each group and category appears?"},{"title":"Summarize reward distribution by group","prompt":"Here are my staking records for October — each row has a row_id, date, instrument_group, reward_units, and staked_units. Can you run the category frequency report so I can see which instrument groups are most represented and how reward values cluster?"},{"title":"Clean staking data before reporting","prompt":"Before I build my monthly staking report, can you normalize the instrument group labels and compute category frequencies for these 80 rows of reward and staked unit data so inconsistent naming doesn't skew my counts?"}],"resultDescription":"Returns two analytical reports: (1) a string normalization report cleaning instrument_group and date string fields across submitted rows, and (2) a category frequency table showing counts and distributions of values across instrument groups, reward_units, and staked_units — all computed locally on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, instrument_group) cause row-level errors","Malformed date strings not matching YYYY-MM-DD pattern rejected","Numeric values outside ±1,000,000,000,000 range rejected","Empty rows array returns an error","Payment of 0.01 USDC not fulfilled causes 402 response"],"whenToPreferThis":"Choose this endpoint when you have staking reward records (with reward_units and staked_units) and need both string normalization and category frequency analysis in a single call for up to 200 rows. Prefer it over generic analytics tools when your data is finance/staking-specific and you want two bundled reports at low cost without any external data access or live market lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:18.370Z","isFirstParty":false,"canonicalSlug":"staking-supplied-rewards-string-normalisation-category-frequencies-259253e9"}