{"uid":"cap_ufhG5tot4e7BC9LMbiSzd","slug":"travel-administration-numeric-interval-filter-trailing-mean-series-37479727","name":"Travel Administration — Numeric Interval Filter + Trailing Mean Series","description":"Travel administration — Numeric interval filter + Trailing mean series: Numeric interval filter + Trailing mean series for supplied travel administration records (trip_count, recorded_cost). 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-14-126?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","trip_count","recorded_cost"],"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},"trip_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"recorded_cost":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","trip_count":10,"recorded_cost":1},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","trip_count":20,"recorded_cost":2},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","trip_count":15,"recorded_cost":3},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","trip_count":30,"recorded_cost":4}],"maxItems":200,"minItems":1},"field":{"enum":["trip_count","recorded_cost"],"type":"string","default":"trip_count"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2},"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_mKkwQOZcdJ9HESYqJxGo6","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 travel administration records by a numeric interval and computes a trailing mean time series, returning two analytical reports from user-supplied data.","exampleAgentPrompt":"I have up to 200 rows of travel records with trip_count and recorded_cost fields — can you filter them to only rows where trip_count is between 5 and 50, and also compute a trailing mean series over a window of 3 using the trip_count field?","exampleUseCases":[{"title":"Corporate travel cost range analysis","prompt":"I have our team's monthly travel records and I need to filter out any rows where recorded_cost is outside the range of 100 to 5000, and also show me a trailing mean over a window of 4 for recorded_cost so I can see the smoothed trend."},{"title":"Team group trip volume smoothing","prompt":"Can you take these 150 travel administration rows with trip_count and recorded_cost, filter to trip_count values between 10 and 200, and generate a trailing mean series with a window of 5 on trip_count so I can spot team travel patterns?"},{"title":"Quarterly expense outlier banding","prompt":"I want to look at our Q3 travel data — filter rows where recorded_cost is between 500 and 8000 and run a rolling mean with window size 6 on recorded_cost. There are about 90 rows total across different team groups."}],"resultDescription":"Returns two analytical reports: (1) rows from the supplied dataset whose selected numeric field (trip_count or recorded_cost) falls within the specified [minimum, maximum] interval, and (2) a trailing mean time series computed over the specified rolling window for that field — both derived purely from the uploaded rows without any external data lookup.","failureModes":["Fewer than 1 row provided — request rejected","More than 200 rows supplied — exceeds row cap","Window size larger than number of rows — trailing mean may be undefined or empty","Invalid date format (not YYYY-MM-DD) — schema validation error","Missing required fields (row_id, date, trip_count, recorded_cost) in any row — validation failure","minimum greater than maximum — filter returns empty result set","null numeric values in field selected for analysis — rows may be excluded from computations"],"whenToPreferThis":"Choose this endpoint when you have up to 200 travel administration records (with trip_count and recorded_cost) and need both a numeric interval filter and a trailing mean time series in a single $0.01 call. Prefer it over general analytics platforms when you want a lightweight, low-cost, self-contained computation on pre-supplied data without any external lookups or predictions. It is ideal for quick analytical passes on structured travel datasets where two complementary statistical views (range banding + rolling average smoothing) are needed simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:56.007Z","isFirstParty":false,"canonicalSlug":"travel-administration-numeric-interval-filter-trailing-mean-series-37479727"}