{"uid":"cap_qC0jFbGEHnyDGWC8Fvdt6","slug":"crawl-response-observations-analyzer-record-quality-audit-string-3bb553fc","name":"Crawl Response Observations Analyzer — Record Quality Audit + String Normalisation + Category Frequencies","description":"Crawl response observations — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies for supplied crawl response observations records (status_code, response_ms). 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-01-195?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","site_group","date","status_code","response_ms"],"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},"response_ms":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"status_code":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","site_group":"group-a","response_ms":1,"status_code":10},{"date":"2026-10-02","row_id":"row-2","site_group":"group-b","response_ms":2,"status_code":20},{"date":"2026-10-03","row_id":"row-3","site_group":"group-a","response_ms":3,"status_code":15},{"date":"2026-10-04","row_id":"row-4","site_group":"group-b","response_ms":4,"status_code":30}],"maxItems":200,"minItems":1}}},"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_jGuRKqN5U8e5p8kbLXA6A","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 category frequencies) on up to 200 crawl response observation records containing status codes and response times.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and category frequency analysis on these crawl response records I have — I've got up to 50 rows with fields like row_id, site_group, date, status_code, and response_ms that I want checked and summarised?","exampleUseCases":[{"title":"Audit crawl pipeline data quality","prompt":"I've collected 120 rows of web crawl observations with fields for row_id, site_group, date, status_code, and response_ms — can you run a full record quality audit on them to flag any missing or malformed entries?"},{"title":"Summarise status code distribution","prompt":"I have a batch of 80 crawl response records from last week and I want to see a category frequency breakdown of the status_codes and site_groups — can you run that analysis for me?"},{"title":"Normalise site group strings in crawl logs","prompt":"My crawl logs have inconsistent string formatting in the site_group field across about 150 rows — can you run the string normalisation report on this dataset so I can clean it up?"}],"resultDescription":"Three structured analytical reports returned together: (1) a record quality audit highlighting completeness, validity, and data issues per row; (2) a string normalisation report cleaning and standardising text fields; (3) category frequency counts for categorical fields such as site_group and status_code. All computed locally with no external lookups.","failureModes":["Empty rows array or fewer than 1 row submitted — validation error","More than 200 rows submitted — exceeds maximum batch size","Missing required fields (row_id, site_group, date, status_code, response_ms) on any row — schema validation failure","Invalid date format (not YYYY-MM-DD) — pattern validation error","Numeric fields outside accepted range — schema rejection","Payment not attached or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need three simultaneous local analytical reports — quality audit, string normalisation, and category frequencies — on a batch of crawl response records without any external data lookup or prediction. Ideal for data pipeline validation, ETL preprocessing, and exploratory summarisation of web crawl outputs where cost efficiency ($0.01 for all three reports) and offline computation are priorities.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T12:43:47.510Z","isFirstParty":false,"canonicalSlug":"crawl-response-observations-analyzer-record-quality-audit-string-3bb553fc"}