{"uid":"cap_QZB5yjhrfZbtk_YOI_Zxi","slug":"robots-review-observations-record-quality-audit-string-normalisation-638f4a5e","name":"Robots Review Observations — Record Quality Audit + String Normalisation + Numeric Distribution","description":"Robots review observations — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution 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-07-193?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_HCuBlyp2sbBRkDF7Pa40a","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 local analytical reports (record quality audit, string normalisation, and numeric distribution) on up to 200 rows of robots review observation data containing checked_paths and restricted_paths fields.","exampleAgentPrompt":"Can you audit the quality of my robots review observation records and show me string normalisation plus a numeric distribution for the checked_paths field? I have 4 rows: row-1 for group-a on 2026-10-01 with checked_paths 10 and restricted_paths 1, row-2 for group-b on 2026-10-02 with checked_paths 20 and restricted_paths 2, row-3 for group-a on 2026-10-03 with checked_paths 15 and restricted_paths 3, and row-4 for group-b on 2026-10-04 with checked_paths 30 and restricted_paths 4.","exampleUseCases":[{"title":"Pre-pipeline data quality gate","prompt":"Before I load this month's robots review observations into our pipeline, run a record quality audit and string normalisation on these 50 rows — site groups alpha, beta, gamma across October 2026 — and give me a numeric distribution for the restricted_paths field so I know if anything looks off."},{"title":"Spotting anomalies in crawl policy data","prompt":"I've got 120 rows of robots review logs with checked_paths and restricted_paths values and I want to know if the numeric distribution of checked_paths looks normal or if there are weird outliers — can you also do a quality audit and string normalisation pass on the site_group column?"},{"title":"Cleaning up inconsistent site group labels","prompt":"My robots review observation dataset has messy site_group strings across 80 rows dating from 2026-09-01 to 2026-09-30 — please run string normalisation on them, do a record quality audit for nulls or format issues, and show me the numeric distribution for restricted_paths."}],"resultDescription":"Three structured analytical reports delivered together: (1) a record quality audit flagging missing values, format violations, and completeness issues across all rows; (2) a string normalisation report standardising the site_group and date text fields; and (3) a numeric distribution summary (histogram or statistics) for the selected field (checked_paths or restricted_paths). All computed locally on the supplied data with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Rows missing required fields (row_id, date, checked_paths, restricted_paths) are rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Numeric values outside ±1,000,000,000,000 are rejected","Empty rows array returns an error","Invalid field enum value (not checked_paths or restricted_paths) causes rejection"],"whenToPreferThis":"Choose this endpoint when you need three analytical passes — quality audit, string normalisation, and numeric distribution — on robots review observation data in a single low-cost call. It is ideal for pre-processing pipelines, data cleaning workflows, or ad-hoc profiling of up to 200 rows of checked_paths and restricted_paths records. Prefer it over general-purpose data tools when you want bundled local analytics without any external lookups or side effects.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:38:09.149Z","isFirstParty":false,"canonicalSlug":"robots-review-observations-record-quality-audit-string-normalisation-638f4a5e"}