{"uid":"cap_zAFVemh5SrePACrtK1DpP","slug":"dependency-upgrades-record-quality-audit-string-normalisation-58efdf8b","name":"Dependency Upgrades — Record Quality Audit + String Normalisation","description":"Dependency upgrades — Record quality audit + String normalisation: Record quality audit + String normalisation for supplied dependency upgrades records (packages_checked, packages_updated). 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-software-09-001?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","component","date","packages_checked","packages_updated"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"component":{"type":"string","default":"","maxLength":80},"packages_checked":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"packages_updated":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","component":"group-a","packages_checked":10,"packages_updated":1},{"date":"2026-10-02","row_id":"row-2","component":"group-b","packages_checked":20,"packages_updated":2},{"date":"2026-10-03","row_id":"row-3","component":"group-a","packages_checked":15,"packages_updated":3},{"date":"2026-10-04","row_id":"row-4","component":"group-b","packages_checked":30,"packages_updated":4}],"maxItems":200,"minItems":1}}},"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_4iuR-9j5ZyF3XaPrY7ezh","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":"Runs two local analytical reports (record quality audit and string normalisation) on up to 200 rows of dependency upgrade data (packages_checked, packages_updated) for $0.01 USDC.","exampleAgentPrompt":"Can you run a record quality audit and string normalisation on my dependency upgrade data? Here are the rows: component 'group-a' on 2026-10-01 checked 10 packages and updated 1, component 'group-b' on 2026-10-02 checked 20 and updated 2 — up to 200 rows total.","exampleUseCases":[{"title":"Audit messy package update logs","prompt":"I have a CSV of dependency upgrade records from our CI pipeline — up to 150 rows with fields like component, date, packages_checked, and packages_updated. Can you run a record quality audit and string normalisation on them to find any bad or inconsistent entries?"},{"title":"Normalise component names in upgrade data","prompt":"Our dependency upgrade tracker has inconsistent component name strings across about 80 rows. Can you run string normalisation on the dataset so we get a clean report on what needs fixing, along with a quality audit of the records?"},{"title":"Validate package update metrics before reporting","prompt":"Before I send our weekly dependency update report to the team, can you do a quality audit and string normalisation on these 60 rows of packages_checked and packages_updated data to make sure there are no bad values or malformed strings?"}],"resultDescription":"Returns two analytical reports for the supplied rows: (1) a record quality audit flagging issues such as missing values, out-of-range numbers, or malformed dates across the packages_checked and packages_updated fields, and (2) a string normalisation report identifying and standardising inconsistent string values in fields like component. All processing is local with no external lookups or live data calls.","failureModes":["More than 200 rows submitted — exceeds maximum batch size","Missing required fields (row_id, component, date, packages_checked, or packages_updated) cause row-level validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) may be flagged or rejected","Empty rows array (minItems: 1 not met) returns an error","Payment of 0.01 USDC not provided or x402 protocol not followed results in 402 response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of dependency upgrade records and need both a data quality audit and string normalisation in a single low-cost call ($0.01 USDC). It is best suited for offline/batch validation of package update logs prior to reporting or pipeline ingestion, where no live lookups, predictions, or external actions are needed. Prefer alternatives if you need real-time package vulnerability scanning, live registry lookups, or more than 200 rows processed at once.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:47:03.872Z","isFirstParty":false,"canonicalSlug":"dependency-upgrades-record-quality-audit-string-normalisation-58efdf8b"}