{"uid":"cap_hjqlgP2twbC0eM0UXBeS1","slug":"elevation-samples-record-quality-audit-exact-row-deduplication-7c6ec3f6","name":"Elevation Samples — Record Quality Audit + Exact Row Deduplication + Trailing Mean Series","description":"Elevation samples — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean series for supplied elevation samples records (elevation_m, sample_weight). 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-13-216?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","elevation_m","sample_weight"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"elevation_m":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"sample_weight":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"station_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","elevation_m":10,"sample_weight":1,"station_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","elevation_m":20,"sample_weight":2,"station_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","elevation_m":15,"sample_weight":3,"station_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","elevation_m":30,"sample_weight":4,"station_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["elevation_m","sample_weight"],"type":"string","default":"elevation_m"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_ZPs4uEdpQ3_vHR60cqJjM","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 three local analytical reports on elevation sample data: a record quality audit, exact row deduplication, and a trailing mean series computation.","exampleAgentPrompt":"Can you run a quality audit, exact deduplication check, and trailing mean series (window size 3) on my elevation sample records for field elevation_m? Here are the rows: row-1 on 2026-10-01 at 10m weight 1 group-a, row-2 on 2026-10-02 at 20m weight 2 group-b, row-3 on 2026-10-03 at 15m weight 3 group-a, row-4 on 2026-10-04 at 30m weight 4 group-b.","exampleUseCases":[{"title":"Station elevation data quality check","prompt":"I have 50 rows of elevation readings from our weather stations — can you run a record quality audit on them to flag nulls, invalid dates, or out-of-range values in the elevation_m field? Group them by station_group and use a window of 5 for the trailing mean."},{"title":"Deduplicate elevation survey dataset","prompt":"We collected elevation samples from multiple surveyors and I suspect there are exact duplicate rows. Can you run the exact row deduplication report on these 120 elevation records so I can see which rows are repeated before I process them further?"},{"title":"Trailing mean for elevation trend analysis","prompt":"Please compute a trailing mean series with a window of 4 for the sample_weight field across my 80 elevation sample rows — I want to see how the weighted average shifts over time by date."}],"resultDescription":"Returns three independent reports: (1) a record quality audit flagging issues like nulls, out-of-range values, and malformed fields; (2) an exact row deduplication report identifying repeated rows; and (3) a trailing mean series over the specified numeric field and window size — all computed locally with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows provided — rejected with validation error","Invalid date format (not YYYY-MM-DD) causes row-level quality failure","Window size outside 2–200 range rejected","Null values in elevation_m or sample_weight flagged in quality audit but may affect trailing mean computation","Field enum value not one of 'elevation_m' or 'sample_weight' causes rejection","Payment of 0.01 USDC not included or declined — request fails with 402"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical reports on elevation sample tabular data — quality audit, deduplication, and trailing mean — in a single low-cost call. It is best suited for offline/batch analytical workflows where no live geospatial lookup, prediction, or external data enrichment is needed. Prefer this over individual analytics endpoints when you want all three reports for up to 200 rows at once for $0.01.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:40.835Z","isFirstParty":false,"canonicalSlug":"elevation-samples-record-quality-audit-exact-row-deduplication-7c6ec3f6"}