{"uid":"cap_DaYDn8grYmbv5xZNQrq-w","slug":"business-location-inventories-two-measure-correlation-keyed-dataset-e0cf691d","name":"Business Location Inventories — Two-Measure Correlation + Keyed Dataset Comparison","description":"Business location inventories — Two-measure correlation + Keyed dataset comparison: Two-measure correlation + Keyed dataset comparison for supplied business location inventories records (location_count, verified_locations). 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-company-05-183?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","location_count","verified_locations"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_group":{"type":"string","default":"","maxLength":80},"location_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"verified_locations":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","location_count":10,"verified_locations":1},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","location_count":20,"verified_locations":2},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","location_count":15,"verified_locations":3},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","location_count":30,"verified_locations":4}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","location_count","verified_locations"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_group":{"type":"string","default":"","maxLength":80},"location_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"verified_locations":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","location_count":10,"verified_locations":1},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","location_count":21,"verified_locations":2},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","location_count":17,"verified_locations":3},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","location_count":33,"verified_locations":4}],"maxItems":200,"minItems":0}}},"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_WJVyASpvhUu9MaxDtJU99","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 Pearson/rank correlation between location_count and verified_locations, and performs a keyed row-by-row comparison between two supplied business location inventory datasets, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have two sets of business location inventory records — each with up to 50 rows containing row_id, company_group, date, location_count, and verified_locations — can you run a two-measure correlation between location_count and verified_locations on the primary set, and then do a keyed comparison between the two datasets to surface any row-level differences?","exampleUseCases":[{"title":"Franchise verification coverage audit","prompt":"I have this quarter's franchise location records for group-a and group-b — about 80 rows each with location_count and verified_locations — can you correlate those two measures to see how well verification is keeping up, and also compare this quarter's data against last quarter's keyed records to find which locations changed?"},{"title":"Multi-brand location data reconciliation","prompt":"We have two exports of our business location inventories from two different systems, each about 120 rows with row_id, company_group, date, location_count, and verified_locations — please run a correlation between the two metrics and then compare the datasets by row key to flag any mismatches between the systems."},{"title":"Regional rollout consistency check","prompt":"Here are 60 rows of location inventory data for our regional rollout across group-a and group-b — can you calculate the correlation between location_count and verified_locations to see if verification is tracking growth, and compare this data against our baseline dataset to identify which rows diverged?"}],"resultDescription":"Returns two independent analytical reports: (1) a two-measure correlation report showing the statistical relationship (e.g. Pearson or rank correlation coefficient and supporting stats) between location_count and verified_locations across the submitted rows; (2) a keyed dataset comparison report that matches rows between the primary and secondary datasets by row_id and surfaces value-level differences in location_count and verified_locations per row.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — request rejected, maxItems exceeded","Missing required fields (row_id, company_group, date, location_count, verified_locations) — schema validation failure","Date field does not match YYYY-MM-DD pattern — validation error","Mismatched row_ids between primary and secondary datasets — keyed comparison may produce unmatched rows","All location_count or verified_locations values are null — correlation cannot be computed","Payment of 0.01 USDC not provided or fails — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have two numeric measures (location_count and verified_locations) in a structured business location inventory dataset and need both a correlation analysis and a row-keyed diff between two dataset snapshots in a single call. It is ideal for franchise or multi-site operators who want to validate that verified coverage tracks total location growth, and simultaneously reconcile two exports or time periods. Prefer this over general analytics platforms when you want a lightweight, pay-per-call analysis on up to 200 rows without setting up a data pipeline or BI tool.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:25.632Z","isFirstParty":false,"canonicalSlug":"business-location-inventories-two-measure-correlation-keyed-dataset-e0cf691d"}