{"uid":"cap_oBqT8evfgcb2qTY_Wtbd_","slug":"coordinate-quality-checks-string-normalisation-numeric-interval-filter-28a200c7","name":"Coordinate Quality Checks — String Normalisation + Numeric Interval Filter","description":"Coordinate quality checks — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter for supplied coordinate quality checks records (checked_points, flagged_points). 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-weather-23-026?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","checked_points","flagged_points"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"station_group":{"type":"string","default":"","maxLength":80},"checked_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"flagged_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","station_group":"group-a","checked_points":10,"flagged_points":1},{"date":"2026-10-02","row_id":"row-2","station_group":"group-b","checked_points":20,"flagged_points":2},{"date":"2026-10-03","row_id":"row-3","station_group":"group-a","checked_points":15,"flagged_points":3},{"date":"2026-10-04","row_id":"row-4","station_group":"group-b","checked_points":30,"flagged_points":4}],"maxItems":200,"minItems":1},"field":{"enum":["checked_points","flagged_points"],"type":"string","default":"checked_points"},"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_tQQvOSV7UXCgK2a2VF80z","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 station group strings and filters coordinate quality check records (checked_points, flagged_points) by a numeric interval, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 50 coordinate quality check records with station_group labels and checked_points values — can you normalise the station group strings and filter rows where checked_points is between 0 and 100, then give me both reports?","exampleUseCases":[{"title":"Filter flagged coordinate records by threshold","prompt":"I've got 120 coordinate quality check rows and I want to see which ones have flagged_points between 1 and 50 — can you run the numeric interval filter on flagged_points with minimum 1 and maximum 50 and also normalise the station group strings?"},{"title":"QA pipeline for weather station data","prompt":"Before I pass this batch of 80 weather station quality check records downstream, can you normalise the station_group names and filter out any rows where checked_points falls outside the range 0 to 200?"},{"title":"Audit coordinate data for outlier flags","prompt":"I need to audit these 30 rows of coordinate quality data — run string normalisation on station_group and filter checked_points between 5 and 500 so I can see what's in bounds."}],"resultDescription":"Returns two independent analytical reports: one covering string normalisation of the station_group field across supplied rows, and one covering a numeric interval filter applied to the chosen field (checked_points or flagged_points) within the specified minimum/maximum bounds — covering up to 200 input rows with no external lookups or live data.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, checked_points, flagged_points) — validation error","Date string does not match YYYY-MM-DD pattern — schema validation failure","minimum greater than maximum — logically invalid interval, may return empty filter results","Non-numeric values supplied for checked_points or flagged_points — schema rejection","Payment not completed — 402 response, no report generated"],"whenToPreferThis":"Choose this endpoint when you have up to 200 coordinate quality check records with station_group labels and numeric quality metrics (checked_points, flagged_points) and need both string normalisation and a numeric interval filter applied in a single call without any external lookup, prediction, or live data dependency. It is well-suited for pre-processing or QA steps in a data pipeline where you need two bundled local analytical reports at low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T06:40:27.026Z","isFirstParty":false,"canonicalSlug":"coordinate-quality-checks-string-normalisation-numeric-interval-filter-28a200c7"}