{"uid":"cap_36dnGd9pUBRZaVGbQR0Fi","slug":"asset-coverage-adjacent-row-changes-two-measure-correlation-dd820125","name":"Asset Coverage: Adjacent Row Changes + Two-Measure Correlation","description":"Asset coverage — Adjacent row changes + Two-measure correlation: Adjacent row changes + Two-measure correlation for supplied asset coverage records (known_assets, monitored_assets). 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-10-158?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","control_group","date","known_assets","monitored_assets"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"known_assets":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"control_group":{"type":"string","default":"","maxLength":80},"monitored_assets":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","known_assets":10,"control_group":"group-a","monitored_assets":1},{"date":"2026-10-02","row_id":"row-2","known_assets":20,"control_group":"group-b","monitored_assets":2},{"date":"2026-10-03","row_id":"row-3","known_assets":15,"control_group":"group-a","monitored_assets":3},{"date":"2026-10-04","row_id":"row-4","known_assets":30,"control_group":"group-b","monitored_assets":4}],"maxItems":200,"minItems":1},"field":{"enum":["known_assets","monitored_assets"],"type":"string","default":"known_assets"}}},"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_xcHNOA-IlneLcIQByMJ-U","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":"Computes adjacent row-to-row changes and two-measure correlation for asset coverage data (known_assets, monitored_assets) across up to 200 rows in two bundled analytical reports.","exampleAgentPrompt":"Analyze my asset coverage records for adjacent row changes and correlation between known_assets and monitored_assets — here are 50 rows with dates from 2026-10-01 onward, grouped into control groups A and B, and I want the field focus on known_assets.","exampleUseCases":[{"title":"Security asset monitoring trend analysis","prompt":"I have 120 rows of daily asset coverage data across two security groups — can you run adjacent row change detection and correlation between known_assets and monitored_assets so I can see where coverage gaps are appearing over time?"},{"title":"Auditing monitored vs known asset alignment","prompt":"Run the adjacent row changes and two-measure correlation reports on this asset coverage dataset for Q4 2026 — I need to know if monitored_assets is keeping pace with known_assets across my control groups, focusing on the known_assets field."},{"title":"Control group comparison across asset metrics","prompt":"I've got 80 rows of asset coverage records split across group-a and group-b — can you compute the row-to-row deltas and correlation between known_assets and monitored_assets for both groups so I can compare their coverage patterns?"}],"resultDescription":"Returns two analytical reports: (1) an adjacent row change report showing delta values between consecutive rows for the selected field, and (2) a two-measure correlation report quantifying the statistical relationship between known_assets and monitored_assets across the supplied rows, with up to 200 rows processed per call.","failureModes":["Exceeding 200 rows results in rejection or truncation","Missing required fields (row_id, date, control_group, known_assets, monitored_assets) causes validation error","Invalid date format (non YYYY-MM-DD) triggers schema rejection","Null values in both measure columns may reduce correlation validity","Submitting fewer than 1 row returns an error","Values outside ±1,000,000,000,000 range are rejected by schema"],"whenToPreferThis":"Choose this endpoint when you have structured asset coverage tabular data (known_assets and monitored_assets) and need both sequential row-change detection and cross-measure correlation in a single low-cost call. Ideal for offline batch analysis of up to 200 rows without needing live data lookup, prediction, or external enrichment. Best suited when you already have the data locally and want fast, deterministic statistical outputs rather than real-time monitoring or professional assessment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:50:23.488Z","isFirstParty":false,"canonicalSlug":"asset-coverage-adjacent-row-changes-two-measure-correlation-dd820125"}