{"uid":"cap_wHaW3UjRFIwiSIxYXbtE9","slug":"elevation-samples-record-quality-audit-exact-row-deduplication-f347b12e","name":"Elevation Samples — Record Quality Audit + Exact Row Deduplication + Duplicate Key Report","description":"Elevation samples — Record quality audit + Exact row deduplication + Duplicate key report: Record quality audit + Exact row deduplication + Duplicate key report 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-13-209?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}}},"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_ZPluwGAUB3cvNSDGOzbaI","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 supplied elevation sample records: a record quality audit, exact row deduplication, and a duplicate key report — all without any external lookups.","exampleAgentPrompt":"Can you run a quality audit, exact row deduplication, and duplicate key report on these elevation sample records I have — each row has a row_id, station_group, date, elevation_m, and sample_weight? I've got up to 50 rows I need checked.","exampleUseCases":[{"title":"Pre-analysis data quality check","prompt":"I'm about to analyze elevation readings from a field survey. Can you audit these records for quality issues, remove exact duplicate rows, and flag any duplicate row IDs? Each record has a row_id, station_group, date, elevation_m, and sample_weight — I have 120 rows total."},{"title":"Station group deduplication audit","prompt":"I received elevation sample exports from multiple station groups and I'm worried there are duplicate entries. Can you run exact row deduplication and a duplicate key report on my 80 records — they include row_id, station_group, date, elevation_m, and sample_weight fields?"},{"title":"Data cleaning pipeline for elevation measurements","prompt":"Before I load these elevation samples into our database, can you check them for record quality issues and exact duplicates? I have 45 rows with row_id, station_group, date, elevation_m, and sample_weight and need all three reports: quality audit, deduplication, and duplicate key summary."}],"resultDescription":"Three independent analytical reports returned together: (1) a record quality audit flagging missing, null, or out-of-range values across elevation_m and sample_weight fields; (2) an exact row deduplication report identifying and removing fully identical rows; (3) a duplicate key report listing row_ids or key combinations that appear more than once. All analysis is performed locally on the submitted data — no external data sources are used.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, station_group, date, elevation_m, sample_weight) causes row-level rejection","Malformed date strings not matching YYYY-MM-DD pattern are flagged or rejected","Empty row arrays are rejected at input validation","Payment failure (x402) prevents the call from being processed"],"whenToPreferThis":"Choose this endpoint when you need three simultaneous analytical reports — quality audit, deduplication, and duplicate key detection — on a batch of up to 200 elevation sample records in a single cheap call ($0.01 USDC). It is ideal for data cleaning pipelines, pre-ingestion validation, or field survey data QA where elevation_m and sample_weight are the key numeric fields. Prefer this over general-purpose data tools when you want all three reports bundled without external lookups or side effects.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:41:19.684Z","isFirstParty":false,"canonicalSlug":"elevation-samples-record-quality-audit-exact-row-deduplication-f347b12e"}