{"uid":"cap_UzLpF9BwGyuiGV7IL4qFP","slug":"facilities-usage-string-normalisation-numeric-row-ordering-16072cba","name":"Facilities Usage — String Normalisation + Numeric Row Ordering","description":"Facilities usage — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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-12-025?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"}}},"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_wQhW35nmaGkUTOkrRx9LH","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 sorts rows numerically for up to 200 facilities usage records containing occupied_seats and available_seats fields, producing 2 analytical reports per call.","exampleAgentPrompt":"Can you run string normalisation and numeric row ordering on my facilities usage records — I have about 50 rows with occupied_seats and available_seats fields, and I want both reports sorted by occupied_seats?","exampleUseCases":[{"title":"Office seat occupancy reporting","prompt":"I've got 120 rows of office facility data with team groups and daily occupied/available seat counts — can you normalise the team group strings and sort everything by occupied_seats so I get clean ordered reports?"},{"title":"Event venue capacity ordering","prompt":"Here are 80 venue booking records with occupied_seats and available_seats per date — please normalise the venue name strings and order the rows numerically by available_seats for my two summary reports."},{"title":"Campus facilities daily audit","prompt":"I need to clean up and sort our campus facilities usage logs — there are 200 rows with team_group labels that need string normalisation and I want the rows ordered by occupied_seats for the daily audit reports."}],"resultDescription":"Returns 2 independent analytical reports covering the supplied facilities usage rows: one applying string normalisation to team/group labels and one providing numeric row ordering based on the selected field (occupied_seats or available_seats). Reports cover up to 200 input rows and are generated locally without external lookups or predictions.","failureModes":["More than 200 rows submitted — request rejected, batch must be split","Missing required fields (row_id, date, occupied_seats, available_seats) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Numeric seat values outside allowed range (±1,000,000,000,000) — rejected","Empty rows array — minimum 1 row required","Invalid field enum value (not occupied_seats or available_seats) — error returned"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local string normalisation of team/group labels combined with numeric ordering of seat occupancy rows — ideal for cleaning and sorting facilities usage datasets up to 200 rows without requiring live data lookups, ML predictions, or external integrations. Best suited for operations teams doing routine data hygiene and ordering on occupancy records before downstream reporting.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T12:53:34.448Z","isFirstParty":false,"canonicalSlug":"facilities-usage-string-normalisation-numeric-row-ordering-16072cba"}