{"uid":"cap_A5ggVcNJCF_DJC-i7LTH0","slug":"record-routing-string-normalisation-base-100-series-analytics-e0602200","name":"Record Routing String Normalisation + Base-100 Series Analytics","description":"Record routing — String normalisation + Base-100 series: String normalisation + Base-100 series 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-19-030?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},"field":{"enum":["accepted_records","rejected_records"],"type":"string","default":"accepted_records"},"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_Cayh1nUJNRJHH15x0Ahs4","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":"Computes string normalisation and base-100 index series for accepted_records and rejected_records fields across up to 200 supplied record routing rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run string normalisation and a base-100 index series on my record routing data — I have 4 rows across group-a and group-b from 2026-10-01 to 2026-10-04, with accepted_records values of 10, 20, 15, 30 and rejected_records of 1, 2, 3, 4, starting the base index at row 0, and I want the report for the accepted_records field?","exampleUseCases":[{"title":"Daily routing acceptance trend indexing","prompt":"I have 30 days of record routing data across two dataset groups — can you normalise the accepted_records values and produce a base-100 series starting from day 0 so I can compare trends across groups?"},{"title":"Rejection rate anomaly review","prompt":"Can you run the string normalisation and base-100 series report on my rejected_records field for this dataset — I have 50 rows with dates, row IDs, and dataset groups — so I can spot which rows spike relative to my baseline at index position 0?"},{"title":"Multi-group routing quality batch report","prompt":"I want two analytical reports on my record routing batch: one for accepted_records and one for rejected_records across 120 rows from multiple dataset groups — can you normalise the data and give me a base-100 indexed series for each?"}],"resultDescription":"Returns two independent analytical reports: a string normalisation report and a base-100 index series, computed locally from the supplied record routing rows (accepted_records and rejected_records fields). No external data is fetched; all analysis is derived from the submitted dataset of up to 200 rows.","failureModes":["More than 200 rows submitted — request exceeds maxItems limit","Missing required fields (row_id, date, accepted_records, rejected_records) in any row — validation error","date field does not match YYYY-MM-DD pattern — schema validation failure","base_index value out of range (0–199) — invalid parameter","field enum value not one of accepted_records or rejected_records — validation error","Empty rows array — minItems constraint violated"],"whenToPreferThis":"Choose this endpoint when you need offline, local string normalisation and base-100 index series computation on record routing data (accepted_records and rejected_records) for up to 200 rows, without requiring any live lookup, prediction, or external data enrichment. Ideal for batch analytical reporting on routing quality metrics grouped by dataset_group and date.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:02.169Z","isFirstParty":false,"canonicalSlug":"record-routing-string-normalisation-base-100-series-analytics-e0602200"}