{"uid":"cap_vY0jUAWuqqbEUO7lzSdQV","slug":"geospatial-tile-processing-grouped-numeric-summary-daily-sum-series-ed2ef62b","name":"Geospatial Tile Processing — Grouped Numeric Summary + Daily Sum Series","description":"Geospatial tile processing — Grouped numeric summary + Daily sum series: Grouped numeric summary + Daily sum series 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-21-089?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_g720pP96W1kHcLCO93PxW","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 a grouped numeric summary and a daily sum time series for geospatial tile processing records (tile_count, processing_seconds) across up to 200 rows.","exampleAgentPrompt":"I have 4 geospatial tile processing records — row-1 through row-4 for dates 2026-10-01 to 2026-10-04, with station groups group-a and group-b, tile counts of 10, 20, 15, and 30, and processing seconds of 1, 2, 3, and 4 — can you give me a grouped numeric summary and a daily sum series for tile_count?","exampleUseCases":[{"title":"Daily tile throughput trend analysis","prompt":"I've got 150 rows of geospatial tile processing logs from October, each with a date, station group, tile count, and processing seconds. Can you produce a grouped numeric summary and daily sum series for tile_count so I can see how throughput trended day by day?"},{"title":"Processing latency audit by station group","prompt":"Here are 80 geospatial tile processing records with station groups and processing_seconds values across several weeks. Give me a grouped numeric summary and daily sum series for processing_seconds so I can spot which groups are slowest."},{"title":"Pipeline capacity planning report","prompt":"I have 200 rows of tile processing data across 5 station groups for the last quarter. Run a grouped numeric summary and daily sum series on tile_count so my team can plan capacity for each station group next quarter."}],"resultDescription":"Returns two analytical reports: (1) a grouped numeric summary of the chosen field (tile_count or processing_seconds) broken down by station_group, including aggregate statistics per group; and (2) a daily sum time series showing the total of the chosen field for each date in the dataset. Both reports are derived entirely from the supplied rows — no external data is fetched.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, station_group, date, tile_count, processing_seconds) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Numeric fields outside allowed range (±1,000,000,000,000) are rejected","Empty rows array is not accepted (minItems: 1)","Payment not included or insufficient USDC causes 402 response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 geospatial tile processing records and need both a grouped statistical summary (by station_group) and a daily sum time series for either tile_count or processing_seconds in a single low-cost call. It is ideal for batch analytical reporting on pipeline data without needing a live data source, external lookup, or prediction model. Prefer alternatives if you need more than 200 rows, real-time data, or report types other than grouped numeric summary and daily sum series.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:38:55.393Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-grouped-numeric-summary-daily-sum-series-ed2ef62b"}