{"uid":"cap_gQReLpKZbt7SjAJSCd321","slug":"validator-uptime-numeric-row-ordering-adjacent-row-changes-49a43ab8","name":"Validator Uptime — Numeric Row Ordering + Adjacent Row Changes","description":"Validator uptime — Numeric row ordering + Adjacent row changes: Numeric row ordering + Adjacent row changes for supplied validator uptime records (online_minutes, observed_minutes). 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-12-116?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","instrument_group","date","online_minutes","observed_minutes"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"online_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"instrument_group":{"type":"string","default":"","maxLength":80},"observed_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","online_minutes":10,"instrument_group":"group-a","observed_minutes":1},{"date":"2026-10-02","row_id":"row-2","online_minutes":20,"instrument_group":"group-b","observed_minutes":2},{"date":"2026-10-03","row_id":"row-3","online_minutes":15,"instrument_group":"group-a","observed_minutes":3},{"date":"2026-10-04","row_id":"row-4","online_minutes":30,"instrument_group":"group-b","observed_minutes":4}],"maxItems":200,"minItems":1},"field":{"enum":["online_minutes","observed_minutes"],"type":"string","default":"online_minutes"}}},"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_8VSbP0c_AEZCci9h4T2eR","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 validator uptime records by sorting rows numerically and computing adjacent row changes for online_minutes or observed_minutes across up to 200 rows.","exampleAgentPrompt":"I have validator uptime records with online_minutes and observed_minutes for each day — can you sort them numerically by online_minutes and show me what changed between consecutive rows? I have 4 rows: 2026-10-01 group-a 10/1, 2026-10-02 group-b 20/2, 2026-10-03 group-a 15/3, 2026-10-04 group-b 30/4.","exampleUseCases":[{"title":"Daily validator uptime drift detection","prompt":"I've got a week of validator uptime data — rows with daily online_minutes and observed_minutes — can you sort them numerically by online_minutes and show me how much each row changed from the one before it?"},{"title":"Staking node performance audit","prompt":"Here are 50 daily uptime records for our staking nodes with online_minutes per day. Sort them numerically and give me adjacent row changes so I can spot where performance dipped or spiked."},{"title":"Multi-group validator comparison","prompt":"I have validator uptime rows across two groups — group-a and group-b — with observed_minutes logged daily. Can you order them by observed_minutes and compute the changes between consecutive rows to see which group has more volatility?"}],"resultDescription":"Returns two analytical reports: (1) the input rows reordered by the selected numeric field (online_minutes or observed_minutes), and (2) adjacent row change values showing the delta between each consecutive row pair — all computed locally without any live data lookup or external calls.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, date, online_minutes, observed_minutes) — validation error","Invalid date format not matching YYYY-MM-DD pattern — schema rejection","Null values in numeric fields may affect delta computation","field enum value not one of online_minutes or observed_minutes — error"],"whenToPreferThis":"Use this endpoint when you have a batch of validator uptime records (up to 200 rows) and need both a numerically sorted view and adjacent row change analysis in a single call at very low cost ($0.01 USDC for both reports). Ideal for blockchain/staking infrastructure monitoring workflows where you want offline, reproducible analytics without live data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:38.661Z","isFirstParty":false,"canonicalSlug":"validator-uptime-numeric-row-ordering-adjacent-row-changes-49a43ab8"}