{"uid":"cap_lhNkH67pUnEFtw-2xG--5","slug":"record-routing-analytics-quality-audit-string-normalisation-equal-ec5a806f","name":"Record Routing Analytics: Quality Audit + String Normalisation + Equal-Width Histogram","description":"Record routing — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram for supplied record routing records (accepted_records, rejected_records). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-19-202?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","accepted_records","rejected_records"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"accepted_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"rejected_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","accepted_records":10,"rejected_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","accepted_records":20,"rejected_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","accepted_records":15,"rejected_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","accepted_records":30,"rejected_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["accepted_records","rejected_records"],"type":"string","default":"accepted_records"}}},"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_xBv30Ink6fa0Qa0D8yiKb","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 three local analytical reports — record quality audit, string normalisation, and equal-width histogram — on up to 200 record routing rows containing accepted and rejected record counts.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and a 10-bin equal-width histogram on my record routing data — here are 50 rows with accepted_records and rejected_records fields, and I want the histogram built on accepted_records?","exampleUseCases":[{"title":"ETL pipeline quality review","prompt":"I have 120 rows of record routing output from our nightly ETL job with accepted_records and rejected_records. Can you audit the data quality, normalise the string fields, and give me a 5-bin histogram on rejected_records so I can see where failures cluster?"},{"title":"Dataset ingestion acceptance analysis","prompt":"Here are 80 record routing rows from our dataset ingestion system — run me a quality audit and a 10-bin histogram on accepted_records so I can spot any anomalies in the distribution."},{"title":"Data team QA reporting","prompt":"Our data team needs a quick QA report on these 200 record routing rows: quality audit, string normalisation on the group and date fields, and a 7-bin histogram of accepted_records — can you generate all three reports?"}],"resultDescription":"Three structured analytical reports: (1) a record quality audit flagging issues like nulls, out-of-range values, and format violations; (2) a string normalisation report for text fields such as dataset_group and date; (3) an equal-width histogram showing bin boundaries and counts for the selected numeric field (accepted_records or rejected_records) across up to 30 bins. All computed locally with no external lookups.","failureModes":["More than 200 rows submitted — request rejected, reduce to ≤200 rows","Missing required fields (row_id, date, accepted_records, rejected_records) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Bin count outside 1–30 range — request rejected","Empty rows array — minItems:1 not satisfied","Non-numeric values in accepted_records or rejected_records where number expected — type error"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical reports — quality audit, string normalisation, and histogram — on record routing data with accepted/rejected record counts, all in a single $0.01 call for up to 200 rows. It is ideal for lightweight, offline analytics on ETL or data pipeline outputs where no live data enrichment, prediction, or external lookups are required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:56.355Z","isFirstParty":false,"canonicalSlug":"record-routing-analytics-quality-audit-string-normalisation-equal-ec5a806f"}