{"uid":"cap_zpVHj-Od_safk9zKBsjfy","slug":"record-routing-string-normalisation-numeric-interval-filter-1493d2f2","name":"Record Routing — String Normalisation + Numeric Interval Filter","description":"Record routing — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter 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-19-026?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_0qBedmdvI6zu_98NanaZX","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":"Normalises string fields and filters records by a numeric interval for accepted_records or rejected_records in record routing datasets, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run string normalisation and a numeric interval filter on my record routing data — I have rows with accepted_records and rejected_records, and I want to filter where accepted_records falls between 5 and 150 across my dataset groups for dates in October 2026?","exampleUseCases":[{"title":"Quality gate on routing accepted records","prompt":"I have 80 rows of record routing data with dates, dataset groups, and accepted_records counts. Can you normalise the string fields and filter to only show me rows where accepted_records is between 10 and 300? Return two reports."},{"title":"Rejected records anomaly band check","prompt":"Run a numeric interval filter on my rejected_records field — I want rows where rejected_records falls between 0 and 5, and also normalise all the string columns. My dataset has about 120 routing rows across groups A and B."},{"title":"ETL validation for routing pipeline","prompt":"Before we push our record routing batch to the database, can you normalise the dataset_group strings and flag any rows where accepted_records is outside the range 50 to 1000? We have 200 rows dated from 2026-10-01 to 2026-10-31."}],"resultDescription":"Returns two analytical reports per call: one applying string normalisation to fields like dataset_group, and one filtering rows where the chosen numeric field (accepted_records or rejected_records) falls within the specified minimum–maximum interval. Covers up to 200 input rows with no external lookups or live data.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes schema validation failure","minimum greater than maximum produces an empty interval filter result","Null values in accepted_records or rejected_records may be excluded from numeric filter","Missing required fields (row_id, date) will cause validation errors"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and a numeric interval filter applied together to record routing data in a single lightweight call, at a fixed cost of $0.01 USDC for two reports covering up to 200 rows. Prefer it over general-purpose data tools when working specifically with accepted_records and rejected_records fields in a routing context and you do not need live lookups, ML predictions, or external integrations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:55:19.271Z","isFirstParty":false,"canonicalSlug":"record-routing-string-normalisation-numeric-interval-filter-1493d2f2"}