{"uid":"cap_4aUkhgQ_KASELjkN2hbzT","slug":"dependency-audits-string-normalisation-adjacent-row-changes-ea439e9b","name":"Dependency Audits — String Normalisation + Adjacent Row Changes","description":"Dependency audits — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes for supplied dependency audits records (dependency_count, flagged_dependencies). 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-09-029?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","control_group","date","dependency_count","flagged_dependencies"],"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},"dependency_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"flagged_dependencies":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","control_group":"group-a","dependency_count":10,"flagged_dependencies":1},{"date":"2026-10-02","row_id":"row-2","control_group":"group-b","dependency_count":20,"flagged_dependencies":2},{"date":"2026-10-03","row_id":"row-3","control_group":"group-a","dependency_count":15,"flagged_dependencies":3},{"date":"2026-10-04","row_id":"row-4","control_group":"group-b","dependency_count":30,"flagged_dependencies":4}],"maxItems":200,"minItems":1},"field":{"enum":["dependency_count","flagged_dependencies"],"type":"string","default":"dependency_count"}}},"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_t2ECqU7XEFmgf8cGq_kgb","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":"Applies string normalisation and adjacent row change analysis to up to 200 dependency audit records, producing two independent analytical reports on dependency_count or flagged_dependencies fields.","exampleAgentPrompt":"Can you run string normalisation and adjacent row change analysis on these 50 dependency audit records I have, looking at the flagged_dependencies field? I'll supply the rows with row_id, control_group, date, dependency_count, and flagged_dependencies.","exampleUseCases":[{"title":"Flagged dependency drift detection","prompt":"I have 120 daily dependency audit rows with control_group, date, and flagged_dependencies values — can you normalize the strings and show me where flagged_dependencies changed between adjacent rows?"},{"title":"Dependency count consistency audit","prompt":"Run string normalisation and adjacent row change detection on these 80 dependency audit records using the dependency_count field — I want to spot inconsistencies and sequential jumps across my two control groups."},{"title":"Multi-group security audit cleanup","prompt":"I've got 200 dependency audit rows across group-a and group-b from the past quarter. Can you normalize the string fields and produce a report on adjacent row changes for flagged_dependencies?"}],"resultDescription":"Two independent analytical reports: (1) a string normalisation report cleaning and standardising text fields across the supplied dependency audit rows, and (2) an adjacent row changes report highlighting value shifts between consecutive rows for the selected field (dependency_count or flagged_dependencies). Results cover up to 200 input rows with no external lookups or predictions.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, date, control_group, dependency_count, or flagged_dependencies) cause row-level errors","Invalid date format (not YYYY-MM-DD) fails pattern validation","Numeric values outside allowed range (-1e12 to 1e12) rejected","Invalid field selector enum value causes request failure","Empty rows array rejected (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you have up to 200 tabular dependency audit records and need both string normalisation and adjacent row change analysis in a single low-cost call. It is purpose-built for offline/batch audit data with no need for live lookups, external integrations, or predictive scoring. At $0.01 USDC for two reports, it is cost-efficient for routine dependency hygiene checks or security audit pipelines that supply their own data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-06T06:39:32.009Z","isFirstParty":false,"canonicalSlug":"dependency-audits-string-normalisation-adjacent-row-changes-ea439e9b"}