{"uid":"cap_kTbLEf5mUYAj_TXVKnMRc","slug":"export-validation-numeric-interval-filter-keyed-dataset-comparison-1d245c63","name":"Export Validation — Numeric Interval Filter + Keyed Dataset Comparison","description":"Export validation — Numeric interval filter + Keyed dataset comparison: Numeric interval filter + Keyed dataset comparison for supplied export validation records (valid_rows, exported_rows). 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-analytics-14-134?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","valid_rows","exported_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"valid_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"exported_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","valid_rows":10,"dataset_group":"group-a","exported_rows":1},{"date":"2026-10-02","row_id":"row-2","valid_rows":20,"dataset_group":"group-b","exported_rows":2},{"date":"2026-10-03","row_id":"row-3","valid_rows":15,"dataset_group":"group-a","exported_rows":3},{"date":"2026-10-04","row_id":"row-4","valid_rows":30,"dataset_group":"group-b","exported_rows":4}],"maxItems":200,"minItems":1},"field":{"enum":["valid_rows","exported_rows"],"type":"string","default":"valid_rows"},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","valid_rows","exported_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"valid_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"exported_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","valid_rows":10,"dataset_group":"group-a","exported_rows":1},{"date":"2026-10-02","row_id":"row-2","valid_rows":21,"dataset_group":"group-b","exported_rows":2},{"date":"2026-10-03","row_id":"row-3","valid_rows":17,"dataset_group":"group-a","exported_rows":3},{"date":"2026-10-04","row_id":"row-4","valid_rows":33,"dataset_group":"group-b","exported_rows":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_Q5Jiod1PMYBJ_j-sO6bCS","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":"Applies a numeric interval filter to a selected field and compares two export validation datasets by row key, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have two batches of export validation records (up to 200 rows each, with valid_rows and exported_rows per date and dataset group) — can you run a numeric interval filter on the valid_rows field and compare the two datasets by row key to flag any discrepancies?","exampleUseCases":[{"title":"Nightly export discrepancy audit","prompt":"I ran two export jobs last night and got different row counts for the same records — here are both datasets with row_id, dataset_group, date, valid_rows, and exported_rows. Can you compare them by row key and also filter valid_rows by numeric interval to flag anything that looks off?"},{"title":"Pipeline regression check between releases","prompt":"We deployed a new ETL version and I want to compare export validation records from before and after the release — both have up to 150 rows with valid_rows and exported_rows. Run a keyed comparison and an interval filter on exported_rows so I can see what changed."},{"title":"Dataset group completeness validation","prompt":"I have export validation data for two different dataset groups across 90 dates, and I want to check whether the valid_rows values fall within an expected numeric interval and whether the two groups match row-by-row. Can you generate both reports?"}],"resultDescription":"Returns two analytical reports: (1) a numeric interval filter report identifying rows where the selected field (valid_rows or exported_rows) falls within or outside a defined interval, and (2) a keyed dataset comparison report highlighting differences between the two supplied datasets matched by row_id. Up to 200 rows processed per call. No external data or live lookups are used.","failureModes":["More than 200 rows submitted — request exceeds maxItems limit and will be rejected","Missing required fields (row_id, dataset_group, date, valid_rows, exported_rows) in any row — validation error","Invalid date format (not YYYY-MM-DD) — schema pattern mismatch error","Numeric values outside allowed range (±1,000,000,000,000) — schema validation failure","Empty rows array (minItems:1 violated) — request rejected","Mismatched row_ids between primary and comparison datasets may produce incomplete comparison results"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously run a numeric interval filter and a keyed row-by-row comparison on export validation records (valid_rows, exported_rows) within a single paid call. It is purpose-built for export audit workflows where you supply two datasets and need both outlier/interval detection and cross-dataset discrepancy reporting in one step. Prefer it over generic analytics services when your data fits the export validation schema (row_id, dataset_group, date, valid_rows, exported_rows) and you want a low-cost ($0.01 USDC) serverless analysis with no external dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:29.953Z","isFirstParty":false,"canonicalSlug":"export-validation-numeric-interval-filter-keyed-dataset-comparison-1d245c63"}