{"uid":"cap_ewTaDjpI7-9Y-HZZCjsZ7","slug":"geospatial-tile-processing-numeric-interval-filter-keyed-dataset-1db6e8e7","name":"Geospatial Tile Processing — Numeric Interval Filter + Keyed Dataset Comparison","description":"Geospatial tile processing — Numeric interval filter + Keyed dataset comparison: Numeric interval filter + Keyed dataset comparison 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-21-134?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"tile_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"station_group":{"type":"string","default":"","maxLength":80},"processing_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","tile_count":10,"station_group":"group-a","processing_seconds":1},{"date":"2026-10-02","row_id":"row-2","tile_count":20,"station_group":"group-b","processing_seconds":2},{"date":"2026-10-03","row_id":"row-3","tile_count":15,"station_group":"group-a","processing_seconds":3},{"date":"2026-10-04","row_id":"row-4","tile_count":30,"station_group":"group-b","processing_seconds":4}],"maxItems":200,"minItems":1},"field":{"enum":["tile_count","processing_seconds"],"type":"string","default":"tile_count"},"other":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","tile_count","processing_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"station_group":"group-b","processing_seconds":2},{"date":"2026-10-03","row_id":"row-3","tile_count":17,"station_group":"group-a","processing_seconds":3},{"date":"2026-10-04","row_id":"row-4","tile_count":33,"station_group":"group-b","processing_seconds":4}],"maxItems":200,"minItems":0},"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_CVRfrvi7G2eEGJFjZ6nTQ","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 two analytical reports on supplied geospatial tile processing records: a numeric interval filter on tile_count or processing_seconds, and a keyed comparison between two datasets of up to 200 rows each.","exampleAgentPrompt":"I have two sets of geospatial tile processing records — each with up to 200 rows of tile_count and processing_seconds — can you run an interval filter on tile_count and then compare the two datasets row-by-row to flag any differences?","exampleUseCases":[{"title":"Detecting tile count anomalies across datasets","prompt":"I've got two batches of geospatial tile processing logs from last month, each about 150 rows, with tile_count and processing_seconds. Can you filter on tile_count to find records outside a normal range and then compare the two batches side by side to see which rows differ?"},{"title":"Comparing processing speed between station groups","prompt":"I want to compare processing_seconds between my two station group datasets — group-a and group-b — using interval filtering to isolate the slow jobs, and then a keyed comparison to see which rows changed between the two datasets."},{"title":"QA check on updated tile pipeline output","prompt":"We just updated our tile processing pipeline and I have the before and after datasets, both around 100 rows. Can you run an interval filter on tile_count and do a keyed row comparison to confirm what changed and whether any values fall outside expected bounds?"}],"resultDescription":"Returns two analytical reports: (1) rows from the primary dataset that fall within the specified numeric interval for the chosen field (tile_count or processing_seconds), and (2) a keyed comparison between the primary and secondary datasets identifying matching, differing, and unmatched rows by row_id.","failureModes":["Input dataset exceeds 200 rows — request rejected","Missing required fields (row_id, station_group, date, tile_count, processing_seconds) — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","No rows provided (minItems:1 not met) — empty input error","Numeric values outside allowed range (±1e12) — validation rejection","Payment not included or insufficient — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you have pre-collected geospatial tile processing records (up to 200 rows) and need both a numeric interval filter and a keyed cross-dataset comparison in a single call. It is ideal for QA, pipeline validation, or anomaly detection on tile_count and processing_seconds data where no live data lookup, prediction, or external enrichment is needed. Not appropriate for real-time geospatial lookups, weather forecasting, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:34:39.162Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-numeric-interval-filter-keyed-dataset-1db6e8e7"}