{"uid":"cap_CEaIWDZBCO9L--Hw4h9Gp","slug":"export-validation-string-normalisation-base-100-series-895b997a","name":"Export Validation — String Normalisation + Base-100 Series","description":"Export validation — String normalisation + Base-100 series: String normalisation + Base-100 series 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-14-030?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_o4ZGmyngIJ1on8sZX0eaS","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 string normalisation and a base-100 index series on up to 200 export validation rows (valid_rows, exported_rows), returning two analytical reports.","exampleAgentPrompt":"Normalise my export validation records and compute a base-100 index series on valid_rows starting from row index 0 — I have 4 rows across group-a and group-b dated 2026-10-01 through 2026-10-04 with valid_rows values of 10, 20, 15, and 30.","exampleUseCases":[{"title":"Audit nightly export completeness trends","prompt":"I have daily export validation records for the past 60 days with valid_rows and exported_rows per dataset group — can you normalise the strings and run a base-100 index series on exported_rows starting from row index 0 so I can spot completeness drift over time?"},{"title":"Compare two dataset groups with indexed metrics","prompt":"I've got export validation data for group-a and group-b across 30 dates and I want both a string normalisation report and a base-100 series on valid_rows starting at index 0 — give me both reports in one call."},{"title":"Baseline export performance for a new data pipeline","prompt":"We just launched a new pipeline and I want to establish a base-100 benchmark on its exported_rows counts from day one — can you normalise the export validation records and compute the index series starting from the first row?"}],"resultDescription":"Two analytical reports: (1) string normalisation output for the supplied export validation rows and (2) a base-100 index series for the selected numeric field (valid_rows or exported_rows), both computed locally with no external lookups or predictions, covering up to 200 input rows.","failureModes":["Fewer than 1 or more than 200 rows supplied — validation error","Missing required row fields (row_id, date, valid_rows, exported_rows) — schema rejection","Date strings not matching YYYY-MM-DD pattern — pattern validation failure","base_index out of range (must be 0–199) — parameter error","Non-numeric values in valid_rows or exported_rows where numbers expected — type error"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and a base-100 indexed time series on export validation metrics (valid_rows, exported_rows) in a single cheap call. It is ideal for offline/local analysis of up to 200 rows without needing live data lookups, external predictions, or professional assessments. At $0.01 USDC for two reports, it suits high-frequency auditing or pipeline monitoring workflows where cost efficiency matters.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:32.962Z","isFirstParty":false,"canonicalSlug":"export-validation-string-normalisation-base-100-series-895b997a"}