{"uid":"cap_ij0o1hBNB2Db_FSJfrjbk","slug":"sitemap-inventories-record-quality-audit-string-normalisation-b5c3966c","name":"Sitemap Inventories — Record Quality Audit + String Normalisation + Trailing Mean Series","description":"Sitemap inventories — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean series for supplied sitemap inventories records (listed_urls, fetched_urls). 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-04-199?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","site_group","date","listed_urls","fetched_urls"],"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},"listed_urls":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"fetched_urls":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","site_group":"group-a","listed_urls":10,"fetched_urls":1},{"date":"2026-10-02","row_id":"row-2","site_group":"group-b","listed_urls":20,"fetched_urls":2},{"date":"2026-10-03","row_id":"row-3","site_group":"group-a","listed_urls":15,"fetched_urls":3},{"date":"2026-10-04","row_id":"row-4","site_group":"group-b","listed_urls":30,"fetched_urls":4}],"maxItems":200,"minItems":1},"field":{"enum":["listed_urls","fetched_urls"],"type":"string","default":"listed_urls"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_igY4HI2qPWuxHpflP8I5c","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 trailing mean series) on up to 200 rows of sitemap inventory data containing listed_urls and fetched_urls fields.","exampleAgentPrompt":"Can you run the three-report bundle — record quality audit, string normalisation, and trailing mean series with a window of 3 — on my sitemap inventory data for listed_urls? I have 4 rows: site_group 'group-a' on 2026-10-01 with listed_urls=10 and fetched_urls=1, 'group-b' on 2026-10-02 with listed_urls=20 and fetched_urls=2, 'group-a' on 2026-10-03 with listed_urls=15 and fetched_urls=3, and 'group-b' on 2026-10-04 with listed_urls=30 and fetched_urls=4.","exampleUseCases":[{"title":"Weekly sitemap crawl quality review","prompt":"I have a week's worth of sitemap inventory rows — 7 records with site_group, date, listed_urls, and fetched_urls — and I want a full audit: check the record quality, normalise the site_group strings, and give me a trailing mean series over listed_urls with a window of 3."},{"title":"Monitoring fetch coverage gaps over time","prompt":"Can you analyse my sitemap inventory export of 50 rows for data quality issues and compute a trailing mean for fetched_urls using a window of 5, plus normalise any string fields? I want to see where fetch coverage is trending."},{"title":"Pre-pipeline data cleaning for sitemap data","prompt":"Before I load this sitemap inventory dataset (120 rows) into our pipeline, please run the record quality audit and string normalisation reports on it, and also generate a trailing mean series for listed_urls with window size 7 so I can spot any anomalies."}],"resultDescription":"Three independent analytical reports returned together: (1) a record quality audit highlighting missing values, nulls, and data anomalies across the supplied rows; (2) a string normalisation report cleaning and standardising the site_group and other string fields; and (3) a trailing mean series computed over the selected numeric field (listed_urls or fetched_urls) using the specified rolling window size — all derived purely from the submitted data with no external lookups.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — exceeds limit, request rejected","Invalid date format (not YYYY-MM-DD) — validation error","Missing required fields (row_id, site_group, date, listed_urls, fetched_urls) — schema validation failure","Window size less than 2 or greater than 200 — parameter error","listed_urls or fetched_urls values outside allowed numeric range — validation error","Payment not provided or insufficient — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you need all three analytical operations — record quality audit, string normalisation, and trailing mean computation — performed together on sitemap inventory data in a single cost-efficient call ($0.01 USDC for all three reports). It is ideal for offline/batch analytical workflows where no live web lookup, external data enrichment, or predictive modelling is needed. Prefer it over separate single-report endpoints when your dataset has up to 200 rows and you want bundled analysis of both listed_urls and fetched_urls fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:49:34.259Z","isFirstParty":false,"canonicalSlug":"sitemap-inventories-record-quality-audit-string-normalisation-b5c3966c"}