{"uid":"cap_gREooN-uLR-Ts3DI5WlpD","slug":"inventory-administration-numeric-interval-filter-daily-sum-series-2d474903","name":"Inventory Administration — Numeric Interval Filter + Daily Sum Series","description":"Inventory administration — Numeric interval filter + Daily sum series: Numeric interval filter + Daily sum series 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-21-125?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_hv0OF43TOedbuyLiECz3s","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 and computes a daily sum time series for session counts or discrepancy counts across up to 200 rows.","exampleAgentPrompt":"I have inventory administration records with session counts and discrepancy counts for groups A and B across October — can you filter just the rows where count_sessions falls between 10 and 50, then give me the daily sum series for count_sessions?","exampleUseCases":[{"title":"Daily session counts within threshold range","prompt":"Here's my inventory data for the last 30 days with team_group, date, count_sessions, and discrepancy_count. Filter the records where count_sessions is between 5 and 100 and give me a daily sum series for count_sessions so I can see the trend."},{"title":"Discrepancy spike detection by date","prompt":"I want to spot days with unusually high discrepancies — can you take my inventory rows and filter where discrepancy_count is between 3 and 20, then aggregate the totals by day so I can see which dates had the most issues?"},{"title":"Team group inventory audit summary","prompt":"Run an interval filter on my inventory records — keep only the rows where count_sessions is between 0 and 30 — and produce a daily sum series for count_sessions so I can audit what each group contributed per day this quarter."}],"resultDescription":"Returns two analytical reports: (1) rows from the input dataset that fall within the specified numeric interval [minimum, maximum] for the chosen field, and (2) a daily sum time series aggregating the chosen field (count_sessions or discrepancy_count) by date across the filtered or full dataset. Up to 200 input rows supported per call.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required row fields (row_id, date, count_sessions, discrepancy_count) cause validation errors","Date values not matching YYYY-MM-DD pattern are rejected","Minimum greater than maximum results in empty filtered output","Null numeric values in the target field are excluded from sum aggregation","Network or payment authorization failure returns 402 status"],"whenToPreferThis":"Choose this endpoint when you have pre-collected inventory administration records (up to 200 rows) and need both a numeric range filter and a daily aggregation time series in a single low-cost call. It is ideal for offline analytical workflows where data is already gathered and you need two complementary views — filtered subset and daily totals — without requiring live data lookup, external database access, or machine learning predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:31:34.964Z","isFirstParty":false,"canonicalSlug":"inventory-administration-numeric-interval-filter-daily-sum-series-2d474903"}