{"uid":"cap_vU6N7pPHCkHjxJMcYaWvZ","slug":"dependency-audits-string-normalisation-date-by-category-pivot-8cc1cff1","name":"Dependency Audits — String Normalisation + Date by Category Pivot","description":"Dependency audits — String normalisation + Date by category pivot: String normalisation + Date by category pivot 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-09-035?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_4anLDYzBuWen86T879Dcb","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":"Performs string normalisation and a date-by-category pivot analysis on up to 200 rows of dependency audit records (dependency_count, flagged_dependencies), returning two analytical reports.","exampleAgentPrompt":"Can you run a string normalisation and date-by-category pivot on this dependency audit dataset? Here are my rows with dependency_count and flagged_dependencies across two control groups, and I want the pivot on dependency_count.","exampleUseCases":[{"title":"Security audit category breakdown","prompt":"I have 150 rows of dependency audit data with dependency_count and flagged_dependencies across several control groups — can you normalise the strings and give me a pivot of flagged_dependencies by date and category?"},{"title":"Weekly dependency count trend pivot","prompt":"Run a date-by-category pivot on my dependency_count audit records across group-a and group-b — I need both the normalised output and the pivot table to spot weekly trends."},{"title":"Flagged dependency anomaly summary","prompt":"Here are my dependency audit rows from the past month — please normalise them and pivot flagged_dependencies by date and control group so I can see which categories are spiking."}],"resultDescription":"Two analytical reports derived from the supplied dependency audit rows: (1) a string normalisation report cleaning the input fields, and (2) a date-by-category pivot table aggregating the selected numeric measure (dependency_count or flagged_dependencies) by date and control group — all computed locally from the supplied data, no external lookups.","failureModes":["Rows array empty or missing — validation error","More than 200 rows submitted — rejected with limit error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric fields out of allowed range — rejected","Invalid field enum value — rejected with enum error","Missing required fields (row_id, control_group, date) — schema error"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and a date-by-category pivot on dependency audit data (dependency_count or flagged_dependencies) in a single low-cost call. It is ideal for offline analytical reporting on up to 200 rows with no need for live lookups, external data enrichment, or predictive assessment. Prefer it over general-purpose analytics tools when working within a micropayment x402 agent workflow.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:49:55.078Z","isFirstParty":false,"canonicalSlug":"dependency-audits-string-normalisation-date-by-category-pivot-8cc1cff1"}