{"uid":"cap_tO5HhSY-BiWzz7SeBCVRh","slug":"elevation-samples-record-quality-audit-numeric-row-ordering-435f4b50","name":"Elevation Samples — Record Quality Audit + Numeric Row Ordering","description":"Elevation samples — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering for supplied elevation samples records (elevation_m, sample_weight). 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-13-007?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"}}},"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_cY4PKodWv1WwIKLVg812x","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":"Audits data quality and performs numeric row ordering on supplied elevation sample records (elevation_m, sample_weight) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and numeric row ordering on my elevation samples? I have 4 rows: row-1 on 2026-10-01 with elevation_m=10 and sample_weight=1 for group-a, row-2 on 2026-10-02 with elevation_m=20 and sample_weight=2 for group-b, and so on — use elevation_m as the field to order by.","exampleUseCases":[{"title":"Pre-analysis elevation dataset validation","prompt":"I have 50 elevation sample records from field stations collected over the past month — can you audit their data quality and rank them by elevation_m so I can spot any bad rows before I run my analysis?"},{"title":"Sample weight distribution quality check","prompt":"Can you check the quality of these 30 elevation readings and order them by sample_weight? I need to know if there are any problematic rows in my dataset before I submit it for review."},{"title":"Multi-station elevation survey audit","prompt":"I've got elevation measurements from three station groups across 100 rows — please run a quality audit and numeric ordering on the data using elevation_m as the sort field, so I can see which records have issues."}],"resultDescription":"Two independent reports: (1) a record quality audit flagging data issues, anomalies, nulls, or format problems in the supplied elevation sample rows; and (2) a numeric row ordering report ranking the supplied rows by the selected field (elevation_m or sample_weight). Both reports are derived locally from the supplied data only — no external lookups are performed.","failureModes":["Rows array empty or missing — returns validation error","More than 200 rows submitted — rejected with limit error","Invalid date format (not YYYY-MM-DD) — row rejected or flagged","row_id missing or blank — schema validation failure","field value not in enum ['elevation_m','sample_weight'] — rejected","elevation_m or sample_weight values outside allowed numeric range — schema error"],"whenToPreferThis":"Choose this endpoint when you have tabular elevation sample records (up to 200 rows) and need both a data quality audit and a numeric sort/ordering report in a single call for a flat $0.01 USDC fee. It is purely analytical — no live elevation lookups, external APIs, or predictions. Prefer it over generic validation tools when your data specifically contains elevation_m and sample_weight fields tied to station groups and dates.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:37:05.778Z","isFirstParty":false,"canonicalSlug":"elevation-samples-record-quality-audit-numeric-row-ordering-435f4b50"}