{"uid":"cap_2YaDHgS7fG3SDIWes0k4-","slug":"inventory-administration-numeric-interval-filter-two-measure-c12f56bb","name":"Inventory Administration — Numeric Interval Filter + Two-Measure Correlation","description":"Inventory administration — Numeric interval filter + Two-measure correlation: Numeric interval filter + Two-measure correlation for supplied inventory administration records (count_sessions, discrepancy_count). 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-operations-21-131?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","count_sessions","discrepancy_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"team_group":{"type":"string","default":"","maxLength":80},"count_sessions":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"discrepancy_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","count_sessions":10,"discrepancy_count":1},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","count_sessions":20,"discrepancy_count":2},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","count_sessions":15,"discrepancy_count":3},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","count_sessions":30,"discrepancy_count":4}],"maxItems":200,"minItems":1},"field":{"enum":["count_sessions","discrepancy_count"],"type":"string","default":"count_sessions"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_h6cTpJ17xpmrl-V0zJ0SJ","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":"Filters inventory administration rows by a numeric interval on a chosen field and computes the correlation between count_sessions and discrepancy_count for up to 200 supplied rows.","exampleAgentPrompt":"I have inventory admin records for my warehouse teams — can you filter the rows where count_sessions is between 5 and 100, and also compute the correlation between count_sessions and discrepancy_count for up to 200 rows?","exampleUseCases":[{"title":"Warehouse team session anomaly filter","prompt":"I've got 150 rows of inventory admin data with team groups and daily session counts — filter out only the rows where count_sessions falls between 20 and 80, and tell me how correlated those session counts are with the discrepancy counts."},{"title":"Discrepancy range investigation","prompt":"Can you take my inventory records and filter by discrepancy_count between 0 and 5, then run a correlation between count_sessions and discrepancy_count so I can see if high-session days tend to have more discrepancies?"},{"title":"Multi-team inventory performance review","prompt":"I have daily inventory data across group-a and group-b teams — please filter to rows where count_sessions is between 10 and 50 and compute the two-measure correlation between count_sessions and discrepancy_count for all 200 rows."}],"resultDescription":"Returns two reports: (1) the rows from the supplied inventory dataset whose chosen field value falls within the specified numeric interval, and (2) a correlation statistic measuring the linear relationship between count_sessions and discrepancy_count across the supplied rows. No external data is fetched; all analysis is performed locally on the provided data.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","minimum value greater than maximum value — invalid interval definition","Missing required fields (row_id, date, count_sessions, discrepancy_count) in any row — validation error","All values for the chosen field are null — correlation cannot be computed","Date strings not matching YYYY-MM-DD pattern — schema validation failure","Fewer than 2 non-null paired values — correlation undefined or returns NaN"],"whenToPreferThis":"Choose this endpoint when you have inventory administration data already in hand (up to 200 rows) and need both a numeric range filter on session or discrepancy counts AND a correlation analysis between the two measures in a single $0.01 call. It is ideal for offline batch analysis of supplied data with no need for real-time lookup, external enrichment, or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T12:42:35.335Z","isFirstParty":false,"canonicalSlug":"inventory-administration-numeric-interval-filter-two-measure-c12f56bb"}