{"uid":"cap_K_uRi6BIF5kq1zlZmswim","slug":"access-reviews-string-normalisation-numeric-row-ordering-03c65b9b","name":"Access Reviews — String Normalisation + Numeric Row Ordering","description":"Access reviews — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied access reviews records (accounts_reviewed, access_removed). 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-01-025?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","control_group","date","accounts_reviewed","access_removed"],"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},"access_removed":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"accounts_reviewed":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","control_group":"group-a","access_removed":1,"accounts_reviewed":10},{"date":"2026-10-02","row_id":"row-2","control_group":"group-b","access_removed":2,"accounts_reviewed":20},{"date":"2026-10-03","row_id":"row-3","control_group":"group-a","access_removed":3,"accounts_reviewed":15},{"date":"2026-10-04","row_id":"row-4","control_group":"group-b","access_removed":4,"accounts_reviewed":30}],"maxItems":200,"minItems":1},"field":{"enum":["accounts_reviewed","access_removed"],"type":"string","default":"accounts_reviewed"}}},"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_IVOz1L7Chjc5NOjDOL18v","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 applies numeric row ordering to access review records (accounts_reviewed, access_removed) for up to 200 rows across 2 independent reports.","exampleAgentPrompt":"Can you clean up and numerically order these access review records by accounts_reviewed? I have 4 rows with control groups group-a and group-b, dates from 2026-10-01 to 2026-10-04, and I need both string normalisation and row ordering reports.","exampleUseCases":[{"title":"Quarterly access review data cleanup","prompt":"I have our quarterly access review export — about 150 rows with columns for accounts_reviewed and access_removed across multiple control groups. Can you normalise all the string fields and sort the rows by accounts_reviewed so the report is clean and consistent?"},{"title":"Compliance audit row ordering","prompt":"For our compliance audit, I need to order our access removal records numerically by access_removed and also normalise the control_group strings. Here are 80 rows from October 2026 — can you produce both reports?"},{"title":"Security team access log standardisation","prompt":"Our security team's access logs have messy control group names and unsorted rows. Can you normalise the strings and order everything by accounts_reviewed for these 60 records dated between 2026-10-01 and 2026-10-31?"}],"resultDescription":"Returns 2 independent analytical reports: one covering string normalisation of the supplied access review records and one covering numeric row ordering, both applied to the provided rows (up to 200) for the selected field (accounts_reviewed or access_removed).","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, accounts_reviewed, access_removed) — validation error","Date field not in YYYY-MM-DD format — schema validation failure","Null or out-of-range numeric values causing computation issues","Invalid field enum value (not accounts_reviewed or access_removed) — rejected"],"whenToPreferThis":"Choose this endpoint when you need lightweight, offline string normalisation and numeric ordering on access review data (accounts_reviewed, access_removed) without any live lookup, external prediction, or professional assessment. Ideal for compliance teams preparing access review datasets for audits, or security analysts cleaning control group records before downstream analysis. Best for batches up to 200 rows at minimal cost ($0.01 USDC for 2 reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:35:22.863Z","isFirstParty":false,"canonicalSlug":"access-reviews-string-normalisation-numeric-row-ordering-03c65b9b"}