{"uid":"cap_ZVcbw0FmSDUHAemno4e8k","slug":"geospatial-tile-processing-daily-sum-series-explicit-missing-value-fill-e41a8fd9","name":"Geospatial Tile Processing — Daily Sum Series + Explicit Missing-Value Fill","description":"Geospatial tile processing — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill for supplied geospatial tile processing records (tile_count, processing_seconds). 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-21-145?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_vX6dTao1CBvBFTVOnMOzF","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":"Computes daily sum time series and fills missing values (zero, mean, or median) for geospatial tile processing records (tile_count, processing_seconds), producing two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have up to 200 rows of daily geospatial tile processing records with tile_count and processing_seconds — can you compute a daily sum series for tile_count and fill any missing values using median imputation, then give me two analytical reports on the results?","exampleUseCases":[{"title":"Satellite tile throughput daily summary","prompt":"Here are my daily geospatial tile processing logs for October — each row has a date, station group, tile_count, and processing_seconds. Can you compute the daily sum series for tile_count and fill any gaps using median so I can see overall throughput trends across the month?"},{"title":"Processing time gap-filling for pipeline audit","prompt":"I'm auditing our tile pipeline and some station groups have missing processing_seconds entries. Can you take these records, fill the nulls with the mean, and give me a daily sum series for processing_seconds so I can spot anomalies?"},{"title":"Multi-group station daily aggregation","prompt":"I have tile processing data from two station groups — group-a and group-b — across about 150 rows. Please compute the daily sum series for tile_count with zero-fill for any missing dates and produce two analytical reports I can compare across the groups."}],"resultDescription":"Returns two analytical reports on the supplied geospatial tile processing data: a daily sum time series for the selected field (tile_count or processing_seconds) and an explicit missing-value fill using the chosen method (zero, mean, or median). Results are computed locally from the submitted rows — no external data is fetched.","failureModes":["More than 200 rows submitted — request rejected or truncated","Invalid date format (not YYYY-MM-DD) causes row rejection","Missing required fields (row_id, date, tile_count, processing_seconds) cause validation error","Numeric values outside ±1,000,000,000,000 rejected","Empty rows array returns error","Unknown fill method or field enum value causes rejection"],"whenToPreferThis":"Choose this endpoint when you have geospatial tile processing records (with tile_count and/or processing_seconds fields) and need both a daily sum aggregation and missing-value imputation in a single low-cost call (0.01 USDC). It is ideal for offline/batch analytical tasks on up to 200 rows where no live data lookup or external enrichment is required. Prefer it over general-purpose analytics when your data is already in the expected schema and you want two ready-to-use reports without building your own aggregation pipeline.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:35:34.625Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-daily-sum-series-explicit-missing-value-fill-e41a8fd9"}