{"uid":"cap_4Ughjr2O5rjbv-fVs6feO","slug":"dependency-upgrades-string-normalisation-two-measure-correlation-e950e09b","name":"Dependency Upgrades — String Normalisation + Two-Measure Correlation","description":"Dependency upgrades — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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-09-033?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_IaaA_iE_SCGFQyGkYSFkj","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 computes two-measure correlation analysis across up to 200 dependency upgrade records (packages_checked, packages_updated).","exampleAgentPrompt":"I have up to 200 rows of dependency upgrade records with fields like component, date, packages_checked, and packages_updated — can you run string normalization and a two-measure correlation analysis on this data to see how closely the number of packages checked relates to the number updated?","exampleUseCases":[{"title":"Weekly dependency audit correlation","prompt":"Here are 150 rows of our weekly dependency scan results with component names, dates, packages_checked, and packages_updated — can you normalize the component strings and compute how correlated the check count is with the update count?"},{"title":"Multi-team package update analysis","prompt":"I've got records for 4 teams tracking packages_checked and packages_updated each day over the last month — run string normalization and a two-measure correlation so I can see which teams have the tightest relationship between scanning and actually updating."},{"title":"Release pipeline dependency tracking","prompt":"We log packages_checked and packages_updated per component each day in our CI pipeline — can you take these 80 rows, clean up the component names, and tell me how well packages_checked predicts packages_updated across the dataset?"}],"resultDescription":"Two analytical reports: (1) a string normalisation report cleaning and standardising the component and date string fields across the supplied rows, and (2) a two-measure correlation report quantifying the statistical relationship between packages_checked and packages_updated across up to 200 rows. No external lookups or predictions are made; all analysis is local.","failureModes":["Fewer than 1 row submitted returns a validation error","More than 200 rows submitted exceeds the maximum and is rejected","Rows missing required fields (row_id, component, date, packages_checked, packages_updated) fail schema validation","Non-date-format strings in the date field fail pattern validation","Extreme numeric values outside ±1,000,000,000,000 are rejected","Insufficient numeric variance in packages_checked or packages_updated may produce undefined or degenerate correlation results"],"whenToPreferThis":"Choose this endpoint when you have tabular dependency upgrade data (packages_checked, packages_updated) per component and date, and you need both string field normalisation and a correlation analysis between the two numeric measures in a single, low-cost call. Ideal for up to 200 rows of software package audit data where no live lookups, external enrichment, or predictions are required — just local statistical computation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:49:43.937Z","isFirstParty":false,"canonicalSlug":"dependency-upgrades-string-normalisation-two-measure-correlation-e950e09b"}