{"uid":"cap_KfFdHWeixW2Zij73WRSH4","slug":"broken-link-observations-string-normalisation-date-by-category-pivot-4558a3de","name":"Broken Link Observations — String Normalisation + Date by Category Pivot","description":"Broken link observations — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied broken link observations records (checked_links, broken_links). 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-17-035?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","site_group","date","checked_links","broken_links"],"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},"broken_links":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"checked_links":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","site_group":"group-a","broken_links":1,"checked_links":10},{"date":"2026-10-02","row_id":"row-2","site_group":"group-b","broken_links":2,"checked_links":20},{"date":"2026-10-03","row_id":"row-3","site_group":"group-a","broken_links":3,"checked_links":15},{"date":"2026-10-04","row_id":"row-4","site_group":"group-b","broken_links":4,"checked_links":30}],"maxItems":200,"minItems":1},"field":{"enum":["checked_links","broken_links"],"type":"string","default":"checked_links"}}},"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_bLCWBF0YvQrZ9h7ZYv53S","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 two analytical reports on broken link observation data: string normalisation and a date-by-category pivot, for up to 200 rows.","exampleAgentPrompt":"Can you run string normalisation and a date-by-category pivot on these broken link records — I have rows for site groups 'group-a' and 'group-b' from 2026-10-01 to 2026-10-04, with checked_links and broken_links counts, and I want the analysis on the broken_links field?","exampleUseCases":[{"title":"Weekly broken link audit by site group","prompt":"I have a week's worth of broken link scan results across three site groups — can you normalise the strings and give me a date-by-category pivot on the broken_links counts so I can see which group had the most issues each day?"},{"title":"Link health trend report for QA team","prompt":"We ran daily link checks across our site groups for the past month and collected checked_links and broken_links per day — can you process up to 200 rows of that data, run string normalisation and a date pivot by category, and report on broken_links?"},{"title":"Compare checked vs broken links across groups","prompt":"Here are 150 rows of link observation records with site_group, date, checked_links, and broken_links — please run the two-report analysis using checked_links as the field and give me the normalised strings and date-by-category pivot."}],"resultDescription":"Two local analytical reports: (1) a string normalisation report cleaning site_group and other string fields, and (2) a date-by-category pivot table aggregating the selected numeric field (checked_links or broken_links) across site groups and dates. No external lookups or predictions; all computation is performed on the supplied rows.","failureModes":["Fewer than 1 row supplied — returns validation error","More than 200 rows supplied — exceeds maxItems limit","Invalid date format (not YYYY-MM-DD) — schema validation failure","Missing required fields (row_id, site_group, date, checked_links, broken_links) — request rejected","Numeric values outside allowed range — validation error","Invalid field enum value (not checked_links or broken_links) — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have broken link observation records with site groups and dates and need both string normalisation and a date-by-category pivot in a single low-cost call. Ideal for web QA pipelines, link audit workflows, or any scenario where you need to clean and cross-tabulate link health data without external lookups or predictions. Best suited for datasets up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:14.863Z","isFirstParty":false,"canonicalSlug":"broken-link-observations-string-normalisation-date-by-category-pivot-4558a3de"}