{"uid":"cap_EbP1qK9Xf4Ag2bTF89WYx","slug":"coordinate-quality-checks-string-normalisation-duplicate-key-report-8682faf8","name":"Coordinate Quality Checks — String Normalisation + Duplicate Key Report","description":"Coordinate quality checks — String normalisation + Duplicate key report: String normalisation + Duplicate key report 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-23-021?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}}},"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_V5EtDqY6FriirxqZ_HBCb","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":"Runs string normalisation and duplicate key detection on coordinate quality check records (checked_points, flagged_points) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run a string normalisation and duplicate key report on my coordinate quality check records? I have rows with station groups like 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and checked_points and flagged_points values — up to 200 rows total.","exampleUseCases":[{"title":"Station group label standardisation","prompt":"I have about 150 rows of coordinate quality check data with inconsistent station group names — things like 'Group A', 'group-a', 'GROUP A'. Can you normalise all the string fields and tell me what got cleaned up?"},{"title":"Duplicate row ID detection in QC records","prompt":"Before I merge my coordinate quality datasets, can you scan these 80 rows for any duplicate row IDs or repeated station group and date combinations and give me a full duplicate key report?"},{"title":"Pre-pipeline data audit for flagged coordinates","prompt":"I need a quick audit of my checked_points and flagged_points records before loading them into the pipeline — can you run both the string normalisation and the duplicate key check on all 200 rows and report back what issues you find?"}],"resultDescription":"Two independent analytical reports: (1) a string normalisation report detailing standardised values across text fields such as station_group, and (2) a duplicate key report identifying any rows sharing identical key combinations across the supplied coordinate quality check records.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, station_group, date, checked_points, or flagged_points) cause validation errors","Malformed date strings not matching YYYY-MM-DD pattern are rejected","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) are rejected","Empty rows array (minItems: 1 not met) causes schema validation failure"],"whenToPreferThis":"Choose this endpoint when you need lightweight, offline string normalisation and duplicate key detection specifically on coordinate quality check records (checked_points, flagged_points) without requiring live lookups, external data enrichment, or prediction. It is best suited for pre-processing or auditing batches of up to 200 station-based coordinate QC rows at minimal cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:46.166Z","isFirstParty":false,"canonicalSlug":"coordinate-quality-checks-string-normalisation-duplicate-key-report-8682faf8"}