{"uid":"cap_PsUmQGtwl_P0bwZKS74Jk","slug":"robots-review-observations-string-normalisation-date-by-category-pivot-74429b0c","name":"Robots Review Observations — String Normalisation + Date by Category Pivot","description":"Robots review observations — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied robots review observations records (checked_paths, restricted_paths). 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-web-07-035?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_BlXjxGpkp-1b8I5qfMec3","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 produces a date-by-category pivot report for robots.txt review observation records (checked_paths, restricted_paths) across up to 200 rows.","exampleAgentPrompt":"I have up to 200 robots review observation records with site_group, date, checked_paths, and restricted_paths columns — can you run string normalisation and a date-by-category pivot on the checked_paths field for me?","exampleUseCases":[{"title":"Audit crawl paths across site groups","prompt":"I've got a list of robots review observations for two site groups — group-a and group-b — with dates and checked_paths counts over October 2026. Can you normalise the site group strings and give me a pivot of checked_paths by date and category?"},{"title":"Summarise restricted paths over time","prompt":"I need to understand how restricted_paths are distributed across my site groups over the past month. I have about 150 rows with row_id, site_group, date, and restricted_paths values — run string normalisation and a date-by-category pivot on the restricted_paths field."},{"title":"Clean and pivot robots observation export","prompt":"I exported 80 robots.txt review records from our crawler with columns for row_id, site_group, date, checked_paths, and restricted_paths. Please normalise the string fields and produce a date-by-category pivot using checked_paths so I can spot trends by group."}],"resultDescription":"Returns two reports: (1) a string-normalisation report cleaning site_group and related text fields across the submitted rows, and (2) a date-by-category pivot table aggregating the selected numeric field (checked_paths or restricted_paths) broken down by date and site_group category — both derived purely from the supplied data with no external lookups.","failureModes":["Fewer than 1 row submitted — minItems constraint violation","More than 200 rows submitted — maxItems constraint violation","Missing required fields (row_id, site_group, date, checked_paths, restricted_paths) causes validation error","Date field not matching YYYY-MM-DD pattern causes schema rejection","Numeric field values outside ±1,000,000,000,000 range cause validation failure","Invalid field enum value (not 'checked_paths' or 'restricted_paths') causes rejection","Payment of 0.01 USDC not fulfilled causes x402 payment-required error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 robots.txt review observation rows and need both string normalisation of categorical fields and a date-by-category pivot on path-count metrics in a single low-cost call. It is ideal for offline/batch analytical workflows where no live lookup, prediction, or external data enrichment is required — just clean, deterministic transformation of your supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:55:32.851Z","isFirstParty":false,"canonicalSlug":"robots-review-observations-string-normalisation-date-by-category-pivot-74429b0c"}