{"uid":"cap_CD_JSXes7tvq7ZTYkquxw","slug":"code-review-analytics-string-normalisation-numeric-interval-filter-d094f379","name":"Code Review Analytics — String Normalisation + Numeric Interval Filter","description":"Code review — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter for supplied code review records (pull_requests, review_hours). 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-software-11-026?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","component","date","pull_requests","review_hours"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"component":{"type":"string","default":"","maxLength":80},"review_hours":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"pull_requests":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","component":"group-a","review_hours":1,"pull_requests":10},{"date":"2026-10-02","row_id":"row-2","component":"group-b","review_hours":2,"pull_requests":20},{"date":"2026-10-03","row_id":"row-3","component":"group-a","review_hours":3,"pull_requests":15},{"date":"2026-10-04","row_id":"row-4","component":"group-b","review_hours":4,"pull_requests":30}],"maxItems":200,"minItems":1},"field":{"enum":["pull_requests","review_hours"],"type":"string","default":"pull_requests"},"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_okb3jh2GyY74A0XNKtB1f","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 component/date strings and filters pull request or review hour records by a numeric interval range, producing two analytical reports from up to 200 code review rows.","exampleAgentPrompt":"Take my code review records — component names like 'group-a' and 'group-b', with dates and pull_requests counts — normalize the string fields and filter to only rows where pull_requests is between 5 and 80, then give me the two analytical reports.","exampleUseCases":[{"title":"Filter PRs within sprint velocity range","prompt":"I have 150 code review rows with component names, dates, and pull_requests counts. Normalize the component strings and filter to only rows where pull_requests is between 10 and 60 — I want both reports that come out of it."},{"title":"Identify outlier-free review hour sessions","prompt":"Here are my team's code review records with review_hours per component per day. Normalize the component labels and filter so I only see rows where review_hours is between 0.5 and 6, and give me the two analytical reports."},{"title":"QA engineering team weekly PR audit","prompt":"I've got 80 rows of PR data across components like 'frontend', 'backend', and 'infra' with dates and pull_request counts. Can you normalize the strings and filter to pull_requests between 1 and 25, then produce the two reports?"}],"resultDescription":"Returns two independent analytical reports derived from the submitted code review rows: one based on string normalisation of component/date fields, and one applying a numeric interval filter to the selected field (pull_requests or review_hours), processing up to 200 rows using local analytical engines with no external lookups.","failureModes":["Fewer than 1 row submitted returns a validation error","More than 200 rows submitted exceeds the row limit","Date strings not matching YYYY-MM-DD pattern are rejected","Numeric values outside ±1,000,000,000,000 are rejected","Missing required fields (row_id, component, date, pull_requests, review_hours) cause schema validation failure","minimum greater than maximum may produce empty filtered results","Payment of 0.01 USDC not provided causes 402 response"],"whenToPreferThis":"Choose this endpoint when you have structured code review data (pull requests, review hours) and need both string normalisation of categorical fields and numeric interval filtering in a single low-cost call. It is best suited for batches of up to 200 rows where you want two combined reports without needing live data lookups, predictions, or external integrations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:37:48.094Z","isFirstParty":false,"canonicalSlug":"code-review-analytics-string-normalisation-numeric-interval-filter-d094f379"}