{"uid":"cap_EDWA8IAwYNi1ynf8xqRCH","slug":"patch-inventories-string-normalisation-numeric-row-ordering-1841ce9e","name":"Patch Inventories — String Normalisation + Numeric Row Ordering","description":"Patch inventories — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied patch inventories records (affected_hosts, patched_hosts). 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-02-025?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","control_group","date","affected_hosts","patched_hosts"],"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},"patched_hosts":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"affected_hosts":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","control_group":"group-a","patched_hosts":1,"affected_hosts":10},{"date":"2026-10-02","row_id":"row-2","control_group":"group-b","patched_hosts":2,"affected_hosts":20},{"date":"2026-10-03","row_id":"row-3","control_group":"group-a","patched_hosts":3,"affected_hosts":15},{"date":"2026-10-04","row_id":"row-4","control_group":"group-b","patched_hosts":4,"affected_hosts":30}],"maxItems":200,"minItems":1},"field":{"enum":["affected_hosts","patched_hosts"],"type":"string","default":"affected_hosts"}}},"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_llYeWi_v1-ccJgOgNpjmD","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 patch inventory records (affected_hosts, patched_hosts) for up to 200 rows across 2 independent analytical reports.","exampleAgentPrompt":"I need to clean up our patch inventory data — can you normalise the string fields and sort the rows numerically by affected_hosts for these 4 records: row-1 (group-a, 2026-10-01, affected=10, patched=1), row-2 (group-b, 2026-10-02, affected=20, patched=2), row-3 (group-a, 2026-10-03, affected=15, patched=3), row-4 (group-b, 2026-10-04, affected=30, patched=4)?","exampleUseCases":[{"title":"Monthly patch compliance data cleanup","prompt":"Here are 50 rows of this month's patch inventory — each has a row_id, control_group, date, affected_hosts and patched_hosts. Can you normalise the string fields and sort everything numerically by patched_hosts so I can review compliance order?"},{"title":"Cross-group patch gap analysis prep","prompt":"I have patch inventory records across three control groups for Q3 — can you normalise the string values and reorder the rows numerically by affected_hosts so I can spot which groups have the biggest unpatched gaps?"},{"title":"Automated patch audit data formatting","prompt":"Before we feed this patch data into our dashboard, please normalise the control_group strings and sort the 120 inventory rows by affected_hosts count — the field I care about is affected_hosts."}],"resultDescription":"Returns two independent analytical reports for the supplied patch inventory rows: one covering string normalisation of fields (e.g. control_group, row_id) and one covering numeric row ordering of the selected field (affected_hosts or patched_hosts). No external lookups or predictions are made; all processing is local and deterministic.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, affected_hosts, patched_hosts) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Null or out-of-range numeric values (beyond ±1,000,000,000,000) may cause processing errors","Invalid field enum value (not 'affected_hosts' or 'patched_hosts') causes rejection","Payment of 0.01 USDC not included or declined results in 402 error"],"whenToPreferThis":"Choose this endpoint when you have patch inventory tabular data (up to 200 rows) that needs both string normalisation and numeric row ordering in a single call at low cost ($0.01 USDC). It is ideal when you need two bundled local analytical reports without requiring live lookups, external data enrichment, or predictive analysis. Prefer this over general-purpose data tools when your data specifically involves affected_hosts and patched_hosts fields with control_group segmentation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:37:46.034Z","isFirstParty":false,"canonicalSlug":"patch-inventories-string-normalisation-numeric-row-ordering-1841ce9e"}