{"uid":"cap_1t4KwnQR5g0HyClynXn9W","slug":"recovery-objectives-string-normalisation-and-numeric-row-ordering-8c3878f6","name":"Recovery Objectives String Normalisation and Numeric Row Ordering","description":"Recovery objectives — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied recovery objectives records (target_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-security-20-025?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","control_group","date","target_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},"control_group":{"type":"string","default":"","maxLength":80},"target_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"observed_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","control_group":"group-a","target_minutes":10,"observed_minutes":1},{"date":"2026-10-02","row_id":"row-2","control_group":"group-b","target_minutes":20,"observed_minutes":2},{"date":"2026-10-03","row_id":"row-3","control_group":"group-a","target_minutes":15,"observed_minutes":3},{"date":"2026-10-04","row_id":"row-4","control_group":"group-b","target_minutes":30,"observed_minutes":4}],"maxItems":200,"minItems":1},"field":{"enum":["target_minutes","observed_minutes"],"type":"string","default":"target_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_0nt1AuvGqpE2RSV4UchED","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 sorts rows numerically for recovery objectives records containing target and observed minutes data, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 4 recovery objectives records — row-1 group-a 2026-10-01 target 10 observed 1, row-2 group-b 2026-10-02 target 20 observed 2, row-3 group-a 2026-10-03 target 15 observed 3, row-4 group-b 2026-10-04 target 30 observed 4 — can you normalise the string fields and sort them by target_minutes, giving me two analytical reports?","exampleUseCases":[{"title":"Ranking RTO compliance records","prompt":"I've got 50 recovery objective entries with target_minutes and observed_minutes for two control groups — can you normalise the text fields and sort all the rows by target_minutes so I can see which recovery targets are easiest to meet?"},{"title":"Auditing observed recovery times","prompt":"Here are 120 rows of recovery data across groups A and B with dates from last quarter — please normalise the string columns and rank the rows by observed_minutes so I can identify which incidents took longest to recover."},{"title":"Preparing recovery data for reporting","prompt":"I need to clean up this dataset of 80 recovery objective records before presenting to the team — run string normalisation and numeric ordering on observed_minutes and give me the two reports."}],"resultDescription":"Two independent analytical reports: one covering string normalisation of fields such as row_id and control_group, and one covering numeric row ordering based on the selected field (target_minutes or observed_minutes). Reports are generated locally without external lookups or predictions, covering up to 200 input rows.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, control_group, date, target_minutes, observed_minutes) cause validation errors","Date strings not matching YYYY-MM-DD pattern cause schema validation failure","Null numeric values may affect ordering output depending on implementation","Network or payment processing errors returning 402 or 5xx responses"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local string normalisation combined with numeric row ordering specifically for recovery objectives data (target_minutes and observed_minutes fields), and want two bundled analytical reports at low cost. Prefer this over general-purpose data tools when your dataset is under 200 rows and no live lookups, predictions, or external integrations are needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T00:43:06.762Z","isFirstParty":false,"canonicalSlug":"recovery-objectives-string-normalisation-and-numeric-row-ordering-8c3878f6"}