{"uid":"cap_zB2y6CRgyQzYdMYFYTcQF","slug":"data-ingestion-batches-string-normalisation-numeric-distribution-6f1a8ddd","name":"Data Ingestion Batches — String Normalisation + Numeric Distribution","description":"Data ingestion batches — String normalisation + Numeric distribution: String normalisation + Numeric distribution for supplied data ingestion batches records (received_rows, accepted_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-01-022?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","received_rows","accepted_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"accepted_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"received_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","accepted_rows":1,"dataset_group":"group-a","received_rows":10},{"date":"2026-10-02","row_id":"row-2","accepted_rows":2,"dataset_group":"group-b","received_rows":20},{"date":"2026-10-03","row_id":"row-3","accepted_rows":3,"dataset_group":"group-a","received_rows":15},{"date":"2026-10-04","row_id":"row-4","accepted_rows":4,"dataset_group":"group-b","received_rows":30}],"maxItems":200,"minItems":1},"field":{"enum":["received_rows","accepted_rows"],"type":"string","default":"received_rows"}}},"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_lmrez8612ShD5Kjunsw-D","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 on dataset_group and numeric distribution analysis on received_rows or accepted_rows for up to 200 data ingestion batch records, returning two independent analytical reports.","exampleAgentPrompt":"Can you run string normalisation on the dataset_group field and a numeric distribution report on the received_rows field for these 4 ingestion batch records: row-1 on 2026-10-01 with group-a, received=10, accepted=1; row-2 on 2026-10-02 with group-b, received=20, accepted=2; row-3 on 2026-10-03 with group-a, received=15, accepted=3; row-4 on 2026-10-04 with group-b, received=30, accepted=4?","exampleUseCases":[{"title":"Profiling daily ingestion row counts","prompt":"I have 50 days of ingestion batch records with received_rows and accepted_rows — can you run a numeric distribution report on the received_rows field so I can see the spread, min, max, and frequency bins?"},{"title":"Normalising inconsistent dataset group labels","prompt":"My ingestion batch data has messy dataset_group strings like 'Group-A', 'group_a', 'GROUP A' across 80 rows — can you run string normalisation on those and also give me a distribution of the accepted_rows field?"},{"title":"QA check on batch acceptance rates","prompt":"Can you analyse these 120 data ingestion batch records — run string normalisation on the dataset_group names and a numeric distribution on accepted_rows so I can spot any anomalies in how many rows are being accepted?"}],"resultDescription":"Returns two independent analytical reports for the supplied batch records: (1) a string normalisation report for the dataset_group field showing standardised forms, case variants, and category counts; (2) a numeric distribution report for the selected field (received_rows or accepted_rows) including statistical measures such as min, max, mean, percentiles, and frequency distribution — all computed locally from the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Numeric values outside allowed range (-1e12 to 1e12) — rejected","Empty rows array — minimum 1 item required","Invalid field enum value — must be 'received_rows' or 'accepted_rows'"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation of categorical/group labels and a numeric distribution profile for ingestion row counts in a single $0.01 call covering up to 200 records. It is ideal for lightweight data quality checks on ingestion pipeline outputs where you need descriptive statistics and label standardisation without any live data lookup, prediction, or external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:27.531Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-string-normalisation-numeric-distribution-6f1a8ddd"}