{"uid":"cap_npAZY3PE_JGT8hn2J6Sit","slug":"record-routing-string-normalisation-two-measure-correlation-707e51ca","name":"Record Routing — String Normalisation + Two-Measure Correlation","description":"Record routing — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation for supplied record routing records (accepted_records, rejected_records). 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-19-033?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"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}}},"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_dtxvZTUSSXOBzaqOwRmHc","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 string normalisation and computes two-measure correlation analysis on record routing data (accepted_records, rejected_records) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run string normalisation and a two-measure correlation analysis on my record routing data? I have 4 rows: group-a on 2026-10-01 with 10 accepted and 1 rejected, group-b on 2026-10-02 with 20 accepted and 2 rejected, group-a on 2026-10-03 with 15 accepted and 3 rejected, and group-b on 2026-10-04 with 30 accepted and 4 rejected — I need both reports back.","exampleUseCases":[{"title":"Audit pipeline acceptance vs rejection correlation","prompt":"I want to understand how my record routing pipeline is performing — can you normalise the strings and run a two-measure correlation between accepted and rejected records for these 10 rows of daily routing data across my two dataset groups?"},{"title":"Spot anomalies in record routing batches","prompt":"Here are 50 rows of record routing data with accepted_records and rejected_records per day and group — can you normalise the data and give me two correlation reports so I can see if rejection spikes are correlated with acceptance drops?"},{"title":"Weekly data quality report for routing groups","prompt":"Can you take my 200 rows of weekly record routing data (accepted and rejected counts per group and date) and produce the string normalisation output plus the two-measure correlation report so I can include it in our data quality review?"}],"resultDescription":"Returns two independent analytical reports: (1) a string normalisation report processing the supplied record routing fields, and (2) a two-measure correlation report quantifying the relationship between accepted_records and rejected_records across the submitted rows (up to 200). No external lookups or live data are used; all analysis is performed on the supplied data locally.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, date, accepted_records, rejected_records) cause row-level rejection","Malformed date strings not matching YYYY-MM-DD pattern are rejected","Null values in both accepted_records and rejected_records may reduce correlation report reliability","Payment failure (x402) prevents endpoint execution"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of record routing data with accepted and rejected record counts and need both string normalisation and a two-measure correlation analysis in a single cheap call ($0.01 USDC). Prefer this over general-purpose analytics APIs when your data fits the accepted_records/rejected_records schema and you want pre-packaged dual-report output without setting up your own statistical pipeline.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:37.360Z","isFirstParty":false,"canonicalSlug":"record-routing-string-normalisation-two-measure-correlation-707e51ca"}