{"uid":"cap_QgB_F7ZcObTBzToQGJt9y","slug":"inventory-administration-string-normalisation-numeric-interval-filter-9111bd12","name":"Inventory Administration — String Normalisation + Numeric Interval Filter","description":"Inventory administration — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter 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-21-026?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_tXddPWjLws2io1Wt7Ys6U","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 filters inventory administration records by a numeric interval across count_sessions or discrepancy_count, returning up to 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 4 inventory administration rows with team groups like 'group-a' and 'group-b', session counts and discrepancy counts — can you normalise the string fields and filter rows where count_sessions falls between 0 and 25, returning both analytical reports?","exampleUseCases":[{"title":"Session count range quality check","prompt":"I've got a set of inventory records for October 2026 across group-a and group-b — can you normalise the team group strings and filter to only show rows where count_sessions is between 10 and 30? I need both reports for up to 50 rows."},{"title":"Discrepancy anomaly detection","prompt":"Here are 80 inventory administration rows from my operations team. Please normalise the string fields and filter on discrepancy_count between 1 and 5 so I can spot which records are within an acceptable discrepancy range — I need the two analytical reports."},{"title":"Weekly inventory review filtering","prompt":"Can you take these 150 inventory records across multiple team groups and normalise the strings, then filter by count_sessions between 0 and 100 so we can prepare our weekly review reports?"}],"resultDescription":"Returns up to 2 independent analytical reports covering string-normalised inventory administration records filtered to rows where the selected numeric field (count_sessions or discrepancy_count) falls within the specified minimum–maximum interval, processing up to 200 input rows using local analytical engines with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Minimum value greater than maximum value — produces empty filtered result set","Invalid date format (not YYYY-MM-DD) — schema validation error","Missing required fields (row_id) — rejected by schema validation","Null numeric values for the filtered field — rows may be excluded from interval filter"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously clean string fields and filter inventory records by a numeric range (count_sessions or discrepancy_count) in a single paid call that yields two analytical reports. It is ideal for operations teams reviewing session or discrepancy data in batches of up to 200 rows and wanting normalised, range-bounded output without any external API lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:36:36.380Z","isFirstParty":false,"canonicalSlug":"inventory-administration-string-normalisation-numeric-interval-filter-9111bd12"}