{"uid":"cap_RsnctH1vQ1oayC-yB4OdZ","slug":"forecast-verification-inputs-duplicate-key-report-numeric-row-ordering-137e53a2","name":"Forecast Verification Inputs — Duplicate Key Report + Numeric Row Ordering","description":"Forecast verification inputs — Duplicate key report + Numeric row ordering: Duplicate key report + Numeric row ordering for supplied forecast verification inputs records (forecast_value, observed_value). 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-24-058?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","forecast_value","observed_value"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"station_group":{"type":"string","default":"","maxLength":80},"forecast_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"observed_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","station_group":"group-a","forecast_value":10,"observed_value":1},{"date":"2026-10-02","row_id":"row-2","station_group":"group-b","forecast_value":20,"observed_value":2},{"date":"2026-10-03","row_id":"row-3","station_group":"group-a","forecast_value":15,"observed_value":3},{"date":"2026-10-04","row_id":"row-4","station_group":"group-b","forecast_value":30,"observed_value":4}],"maxItems":200,"minItems":1},"field":{"enum":["forecast_value","observed_value"],"type":"string","default":"forecast_value"}}},"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_pOSuIZOZ1CA34b-xez1k_","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":"Analyzes up to 200 forecast verification rows to produce a duplicate key report and a numeric row ordering report for forecast_value or observed_value fields.","exampleAgentPrompt":"Can you check my forecast verification data for duplicate row IDs and also rank the rows by forecast_value? I have 4 records: row-1 for group-a on 2026-10-01 with forecast 10 and observed 1, row-2 for group-b on 2026-10-02 with forecast 20 and observed 2, row-3 for group-a on 2026-10-03 with forecast 15 and observed 3, and row-4 for group-b on 2026-10-04 with forecast 30 and observed 4.","exampleUseCases":[{"title":"Duplicate station-date detection in forecast batch","prompt":"I've got a batch of 50 weather forecast verification records across station groups A and B, and I suspect some rows have duplicate row IDs or station-date combos — can you run a duplicate key report on them and also rank all rows by observed_value?"},{"title":"Ranking forecast accuracy rows for model review","prompt":"I need to numerically order my 120 forecast verification rows by forecast_value and also flag any duplicate row IDs in the dataset — here's the full list of row_id, station_group, date, forecast_value, and observed_value entries."},{"title":"Pre-submission data quality check on verification inputs","prompt":"Before I submit my weather model verification inputs, can you check this dataset of 80 rows for any duplicate keys and give me the rows sorted numerically by observed_value so I can spot anomalies?"}],"resultDescription":"Returns two independent analytical reports for the submitted rows: (1) a duplicate key report identifying any repeated row_id, station_group, or date combinations within the dataset, and (2) a numeric row ordering report ranking rows by the specified field (forecast_value or observed_value). Both reports are computed locally with no external lookups or predictions.","failureModes":["Empty rows array or missing required fields (row_id, station_group, date, forecast_value, observed_value) causes validation error","Submitting more than 200 rows exceeds the maxItems limit and will be rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Numeric values outside ±1,000,000,000,000 range are rejected","Missing or invalid field enum value (must be 'forecast_value' or 'observed_value') causes parameter error","Payment failure or insufficient USDC balance blocks execution"],"whenToPreferThis":"Choose this endpoint when you need both duplicate key detection and numeric row ordering on forecast verification data (forecast_value and observed_value pairs) in a single $0.01 call covering up to 200 rows. It is ideal for data quality pre-checks before model evaluation pipelines, or when auditing weather station forecast batches for data integrity. Prefer it over general-purpose analytics tools when you specifically need these two reports together on structured verification records with row_id and station_group keys.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:33:54.952Z","isFirstParty":false,"canonicalSlug":"forecast-verification-inputs-duplicate-key-report-numeric-row-ordering-137e53a2"}