{"uid":"cap_7YdVrBNDZ-RdURdoNGZdV","slug":"robots-review-observations-record-quality-audit-string-normalisation-9e99bca3","name":"Robots Review Observations — Record Quality Audit + String Normalisation + IQR Outlier Flags","description":"Robots review observations — Record quality audit + String normalisation + IQR outlier flags: Record quality audit + String normalisation + IQR outlier flags for supplied robots review observations records (checked_paths, restricted_paths). 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-web-07-203?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","site_group","date","checked_paths","restricted_paths"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"site_group":{"type":"string","default":"","maxLength":80},"checked_paths":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"restricted_paths":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","site_group":"group-a","checked_paths":10,"restricted_paths":1},{"date":"2026-10-02","row_id":"row-2","site_group":"group-b","checked_paths":20,"restricted_paths":2},{"date":"2026-10-03","row_id":"row-3","site_group":"group-a","checked_paths":15,"restricted_paths":3},{"date":"2026-10-04","row_id":"row-4","site_group":"group-b","checked_paths":30,"restricted_paths":4}],"maxItems":200,"minItems":1},"field":{"enum":["checked_paths","restricted_paths"],"type":"string","default":"checked_paths"}}},"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_3RMhbuGvNtzUk5TWF3UMf","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":"Runs three analytical reports (record quality audit, string normalisation, and IQR outlier detection) on robots.txt review observation data containing checked_paths and restricted_paths fields, for up to 200 rows.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and IQR outlier check on my robots review observations? I have 4 rows of data for site groups 'group-a' and 'group-b', with checked_paths and restricted_paths values recorded from 2026-10-01 to 2026-10-04 — run the reports on the checked_paths field.","exampleUseCases":[{"title":"Outlier detection in crawl path data","prompt":"I have a dataset of 50 robots review observation records across several site groups from October 2026 — can you flag any IQR outliers in the restricted_paths field and also do a full record quality audit and string normalisation on the whole set?"},{"title":"Data quality check before pipeline ingestion","prompt":"Before I load this batch of 120 robots.txt observation rows into our data pipeline, can you run a quality audit plus string normalisation and IQR outlier flags on the checked_paths values so I can catch any bad records?"},{"title":"Validating site group observation exports","prompt":"We exported observation logs for multiple site groups over the past month — about 80 rows total — can you audit the record quality, normalise strings, and flag outliers in the restricted_paths column so we know what needs cleaning?"}],"resultDescription":"Returns three independent analytical reports for the submitted dataset: (1) a record quality audit identifying completeness and consistency issues, (2) a string normalisation report for text fields, and (3) IQR-based outlier flags for the selected numeric field (checked_paths or restricted_paths). All analysis is performed locally without external lookups or predictions.","failureModes":["More than 200 rows submitted — request will be rejected","Missing required fields (row_id, site_group, date, checked_paths, restricted_paths) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema rejection","Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) cause validation failure","Invalid field selector (not 'checked_paths' or 'restricted_paths') causes enum error","Empty rows array causes minItems validation failure"],"whenToPreferThis":"Choose this endpoint when you have robots review observation data (with checked_paths and restricted_paths fields) and need three bundled analytical reports — record quality audit, string normalisation, and IQR outlier flagging — in a single low-cost call. Ideal for data cleaning pipelines or pre-ingestion validation of up to 200 rows of robots.txt crawl observation records. Not suitable for live lookups, predictions, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T06:41:13.512Z","isFirstParty":false,"canonicalSlug":"robots-review-observations-record-quality-audit-string-normalisation-9e99bca3"}