{"uid":"cap_-Em2TzNE0F84dtf8OaFsJ","slug":"release-note-coverage-record-quality-audit-string-normalisation-iqr-a1f58d24","name":"Release Note Coverage — Record Quality Audit + String Normalisation + IQR Outlier Flags","description":"Release note coverage — Record quality audit + String normalisation + IQR outlier flags: Record quality audit + String normalisation + IQR outlier flags for supplied release note coverage records (documented_changes, released_changes). 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-writing-15-203?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","document_group","date","documented_changes","released_changes"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"document_group":{"type":"string","default":"","maxLength":80},"released_changes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"documented_changes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","document_group":"group-a","released_changes":1,"documented_changes":10},{"date":"2026-10-02","row_id":"row-2","document_group":"group-b","released_changes":2,"documented_changes":20},{"date":"2026-10-03","row_id":"row-3","document_group":"group-a","released_changes":3,"documented_changes":15},{"date":"2026-10-04","row_id":"row-4","document_group":"group-b","released_changes":4,"documented_changes":30}],"maxItems":200,"minItems":1},"field":{"enum":["documented_changes","released_changes"],"type":"string","default":"documented_changes"}}},"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_pyhrPVeDS2icwxh0Wduyp","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":"Audits, normalises, and flags IQR outliers in release note coverage records (documented_changes, released_changes) across up to 200 rows, producing three independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and IQR outlier check on my release note coverage data? Here are the rows — each has a row_id, document_group, date, documented_changes, and released_changes — and I want to analyse the documented_changes field across up to 200 rows.","exampleUseCases":[{"title":"Release documentation gap detection","prompt":"I have a dataset of release note coverage records with row IDs, document groups, dates, and counts of documented vs released changes. Can you audit the record quality, normalise the strings, and flag any IQR outliers in the documented_changes field so I can see where our release documentation is falling short?"},{"title":"Release data hygiene before reporting","prompt":"Before I publish our quarterly release coverage report, can you run a full quality audit and string normalisation pass on these release note records, and also flag any statistically unusual released_changes values using IQR outlier detection?"},{"title":"Anomaly triage in release change counts","prompt":"We've noticed some weird numbers in our release note coverage data. Can you run the IQR outlier flags, record quality audit, and string normalisation on these rows — the key fields are documented_changes and released_changes — and tell me which rows look suspicious?"}],"resultDescription":"Three independent analytical reports for the submitted rows: (1) a record quality audit identifying missing, malformed, or incomplete fields; (2) string normalisation results for text fields such as document_group; (3) IQR-based outlier flags identifying statistically anomalous values in the selected numeric field (documented_changes or released_changes). All analysis is performed locally with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, documented_changes, released_changes) cause row-level rejection","Dates not matching YYYY-MM-DD pattern are rejected","Invalid field enum value (not 'documented_changes' or 'released_changes') causes a request error","Numeric values outside the allowed range trigger schema validation failure","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you need a combined, cost-effective data quality pass — quality audit, string normalisation, and IQR outlier detection — on release note coverage records in a single call. It is best suited for batches of up to 200 rows where no external data lookup, prediction, or live API integration is needed. Prefer it over general-purpose analytics when your data specifically involves documented_changes and released_changes fields and you want three structured reports for a flat fee of $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:34:43.426Z","isFirstParty":false,"canonicalSlug":"release-note-coverage-record-quality-audit-string-normalisation-iqr-a1f58d24"}