{"uid":"cap_oTdLoh-tLzE499Sinh-9v","slug":"local-event-calendars-record-quality-audit-string-normalisation-two-7c40828b","name":"Local Event Calendars — Record Quality Audit + String Normalisation + Two-Measure Correlation","description":"Local event calendars — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation for supplied local event calendars records (listed_events, updated_events). 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-news-19-204?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","listed_events","updated_events"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"channel_group":{"type":"string","default":"","maxLength":80},"listed_events":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"updated_events":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","channel_group":"group-a","listed_events":10,"updated_events":1},{"date":"2026-10-02","row_id":"row-2","channel_group":"group-b","listed_events":20,"updated_events":2},{"date":"2026-10-03","row_id":"row-3","channel_group":"group-a","listed_events":15,"updated_events":3},{"date":"2026-10-04","row_id":"row-4","channel_group":"group-b","listed_events":30,"updated_events":4}],"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_aJAphFoEUnKor6rGcstX7","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 two-measure correlation) on up to 200 rows of local event calendar data containing listed_events and updated_events fields.","exampleAgentPrompt":"Can you audit the quality of this local event calendar data, normalise the strings, and run a correlation between listed_events and updated_events? Here are my rows: row-1 on 2026-10-01 for group-a with 10 listed events and 1 updated, row-2 on 2026-10-02 for group-b with 20 listed and 2 updated, row-3 on 2026-10-03 for group-a with 15 listed and 3 updated — give me all three reports.","exampleUseCases":[{"title":"Weekly event calendar data quality check","prompt":"I have a week's worth of local event calendar records across two channel groups — can you run a full quality audit, normalise any string fields, and show me the correlation between listed_events and updated_events? Here are 7 rows: row-1 2026-11-01 group-a 50 listed 5 updated, row-2 2026-11-02 group-b 30 listed 3 updated, row-3 2026-11-03 group-a 45 listed 4 updated, row-4 2026-11-04 group-b 60 listed 6 updated, row-5 2026-11-05 group-a 20 listed 2 updated, row-6 2026-11-06 group-b 35 listed 3 updated, row-7 2026-11-07 group-a 55 listed 5 updated."},{"title":"Detecting nulls and outliers in event feed data","prompt":"Some of my event feed records have nulls and weird values in listed_events and updated_events — can you run the record quality audit, string normalisation, and two-measure correlation across these rows? I've got entries for group-a and group-b between 2026-09-01 and 2026-09-05, with some null updated_events values I want flagged."},{"title":"Monthly cross-channel event data reconciliation","prompt":"I need to reconcile event calendar data across my two channel groups for October 2026 — please run all three reports (quality audit, string normalisation, correlation between listed and updated events) on these 10 rows: row-1 through row-10 spanning 2026-10-01 to 2026-10-10, alternating between group-a and group-b, with listed_events ranging from 10 to 100 and updated_events from 1 to 10."}],"resultDescription":"Three independent analytical reports covering: (1) a record quality audit flagging completeness, nulls, and anomalies in the submitted rows; (2) a string normalisation report standardising channel_group and other string fields; and (3) a two-measure correlation report quantifying the statistical relationship between listed_events and updated_events across the submitted rows. All analysis is performed locally with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, date, listed_events, updated_events) — validation error","Date field not matching YYYY-MM-DD pattern — schema validation failure","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — rejection","Empty rows array — error response","Payment of 0.01 USDC not settled via x402 — request blocked"],"whenToPreferThis":"Choose this endpoint when you have local event calendar data (up to 200 rows) and need three simultaneous offline analytical reports — quality audit, string normalisation, and correlation — without any live data lookups or external enrichment. It is cost-effective at $0.01 USDC for all three reports together and is ideal for batch validation and exploratory analysis of event pipeline data before downstream processing.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:36:17.383Z","isFirstParty":false,"canonicalSlug":"local-event-calendars-record-quality-audit-string-normalisation-two-7c40828b"}