{"uid":"cap_VvoeG98rVDPGVb_RSF-hQ","slug":"geospatial-tile-processing-data-quality-suite-e80b6fd5","name":"Geospatial Tile Processing Data Quality Suite","description":"Geospatial tile processing — Record quality audit + String normalisation + IQR outlier flags: Record quality audit + String normalisation + IQR outlier flags for supplied geospatial tile processing records (tile_count, processing_seconds). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-weather-21-203?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","tile_count","processing_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"tile_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"station_group":{"type":"string","default":"","maxLength":80},"processing_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","tile_count":10,"station_group":"group-a","processing_seconds":1},{"date":"2026-10-02","row_id":"row-2","tile_count":20,"station_group":"group-b","processing_seconds":2},{"date":"2026-10-03","row_id":"row-3","tile_count":15,"station_group":"group-a","processing_seconds":3},{"date":"2026-10-04","row_id":"row-4","tile_count":30,"station_group":"group-b","processing_seconds":4}],"maxItems":200,"minItems":1},"field":{"enum":["tile_count","processing_seconds"],"type":"string","default":"tile_count"}}},"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_QVvkZIiMugk_T5FH6T4Rh","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":"Audits record quality, normalises strings, and flags IQR outliers for geospatial tile processing datasets (tile_count, processing_seconds) — up to 200 rows, three reports per call.","exampleAgentPrompt":"Can you audit the quality of my geospatial tile processing records, normalise the station_group strings, and flag any IQR outliers in tile_count? I have about 50 rows covering station groups alpha and beta from October 2026.","exampleUseCases":[{"title":"Pipeline data quality gate","prompt":"Before I push this batch of geospatial tile processing logs to production, can you run a full quality audit, normalise all the station_group labels, and flag any tile_count values that look like outliers using IQR? Here are 120 rows from November 2026."},{"title":"Outlier detection in processing times","prompt":"I've got 80 rows of tile processing records and I'm worried some processing_seconds values are way off — can you run the IQR outlier check on processing_seconds and also do the string normalisation and record quality audit while you're at it?"},{"title":"Station group label cleanup","prompt":"My geospatial pipeline data has inconsistent station_group names across 45 rows — can you normalise those strings, do the record quality audit, and also check tile_count for IQR outliers so I know what needs fixing?"}],"resultDescription":"Three structured analytical reports per call: (1) a record quality audit highlighting missing, malformed, or invalid rows; (2) normalised string values for station_group and other string fields; (3) IQR-based outlier flags identifying rows where tile_count or processing_seconds fall outside the interquartile range. All computed locally without external lookups.","failureModes":["Empty rows array or missing required fields (row_id, date, tile_count, processing_seconds) returns validation error","More than 200 rows submitted exceeds maxItems limit and is rejected","Dates not matching YYYY-MM-DD pattern fail schema validation","Non-numeric tile_count or processing_seconds outside allowed range rejected","Invalid field enum value (anything other than tile_count or processing_seconds) causes request failure","Payment not included or insufficient USDC results in 402 payment required response"],"whenToPreferThis":"Choose this endpoint when you need a bundled, low-cost ($0.01 USDC) three-in-one data quality pass — record auditing, string normalisation, and IQR outlier detection — specifically for geospatial tile processing datasets. It is best suited for offline or pre-pipeline validation of up to 200 rows where no live lookups, predictions, or external data enrichment are required. Prefer alternatives if you need real-time geospatial lookups, ML-based anomaly detection, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:56:50.437Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-data-quality-suite-e80b6fd5"}