{"uid":"cap_nBvg2CRkq0vni_2pQCIiz","slug":"facilities-usage-string-normalisation-numeric-interval-filter-5cfa5a86","name":"Facilities Usage — String Normalisation + Numeric Interval Filter","description":"Facilities usage — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter for supplied facilities usage records (occupied_seats, available_seats). 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-12-026?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","occupied_seats","available_seats"],"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},"occupied_seats":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"available_seats":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","occupied_seats":10,"available_seats":1},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","occupied_seats":20,"available_seats":2},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","occupied_seats":15,"available_seats":3},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","occupied_seats":30,"available_seats":4}],"maxItems":200,"minItems":1},"field":{"enum":["occupied_seats","available_seats"],"type":"string","default":"occupied_seats"},"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_pOPMYkFyvi9YS9-eFAtqr","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 team_group strings and filters facilities usage records (occupied_seats, available_seats) by a numeric min/max interval, producing up to 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you normalise the team group names and filter by occupied_seats between 10 and 50 for these facility usage records: row-1 group-a 2026-10-01 occupied=10 available=1, row-2 group-b 2026-10-02 occupied=45 available=5, row-3 group-a 2026-10-03 occupied=60 available=3?","exampleUseCases":[{"title":"Office occupancy threshold reporting","prompt":"I have 150 daily facility usage rows for our office floors — can you normalise the team group labels and filter the occupied_seats field to only keep rows where the value is between 20 and 300? Run the two standard reports on the filtered data."},{"title":"Venue availability band filtering","prompt":"Filter my venue booking records by available_seats between 5 and 50, normalise the team group strings, and give me the analytical summary — I've got about 80 rows covering October 2026."},{"title":"Seat utilisation data cleaning","prompt":"My facilities data has messy team group names and I need to filter occupied_seats to rows between 0 and 100 — can you normalise the strings and run the two reports for me? Here are the 200 rows."}],"resultDescription":"Returns up to 2 analytical reports on the supplied facilities usage records: one covering string-normalised team_group values and one covering records filtered to the specified numeric interval for the chosen field (occupied_seats or available_seats), applied to up to 200 input rows. No external data is fetched; all processing uses local analytical engines.","failureModes":["Rows array empty or missing — validation error","More than 200 rows submitted — rejected with maxItems error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field value outside ±1,000,000,000,000 range — rejected","Minimum greater than maximum — may return empty filtered result set","Missing required fields (row_id) — schema validation error","Payment not included or insufficient — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you have up to 200 facilities usage records with seat occupancy data and need both string normalisation of team/group labels and numeric interval filtering of seat counts in a single low-cost call ($0.01 USDC for 2 reports). It is ideal for offline/batch cleaning of pre-collected data without requiring live lookups or external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T12:45:52.819Z","isFirstParty":false,"canonicalSlug":"facilities-usage-string-normalisation-numeric-interval-filter-5cfa5a86"}