{"uid":"cap_98aWUjh4DIqdVHv_V3TTg","slug":"local-event-calendars-string-normalisation-missing-value-fill-f878b5e2","name":"Local Event Calendars — String Normalisation & Missing-Value Fill","description":"Local event calendars — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill for supplied local event calendars records (listed_events, updated_events). 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-news-19-037?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},"field":{"enum":["listed_events","updated_events"],"type":"string","default":"listed_events"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_saG2ef4FefjUaqOmGm0X7","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 strings and fills missing values in local event calendar records (listed_events, updated_events) for up to 200 rows, producing two independent analytical reports.","exampleAgentPrompt":"Can you clean up my local event calendar data — normalise the strings and fill any missing listed_events values using median imputation? I have 4 rows: row-1 on 2026-10-01 group-a with 10 listed and 1 updated, row-2 on 2026-10-02 group-b with 20 listed and null updated, row-3 on 2026-10-03 group-a with null listed and 3 updated, row-4 on 2026-10-04 group-b with 30 listed and 4 updated.","exampleUseCases":[{"title":"Fill missing event listing counts","prompt":"I've got a local event calendar dataset with some null values in the listed_events column — can you fill those blanks using the median of the existing values and give me a report? Here are my rows: row-1 2026-10-01 group-a listed=10 updated=1, row-2 2026-10-02 group-b listed=null updated=2, row-3 2026-10-03 group-a listed=15 updated=3."},{"title":"Normalise strings for channel group import","prompt":"Before I import this event calendar data, can you run string normalisation and flag any missing values in the updated_events field using zero-fill? I have rows: row-1 2026-10-01 group-a listed=10 updated=1, row-2 2026-10-02 group-b listed=20 updated=null, row-3 2026-10-03 group-a listed=15 updated=3."},{"title":"Data quality report for event calendar pipeline","prompt":"Can you produce a data-quality report on these local event calendar records — normalise the strings, fill missing updated_events using mean imputation, and give me two reports covering both listed and updated counts? Rows: row-1 2026-10-01 group-a listed=10 updated=1, row-2 2026-10-02 group-b listed=20 updated=2, row-3 2026-10-03 group-a listed=null updated=null, row-4 2026-10-04 group-b listed=30 updated=4."}],"resultDescription":"Two independent analytical reports (one for listed_events, one for updated_events) covering string-normalised and missing-value-filled versions of the supplied event calendar rows, up to 200 rows total. No live data is fetched; all processing is local to the supplied records.","failureModes":["More than 200 rows submitted — request rejected","Invalid date format (not YYYY-MM-DD) — row fails schema validation","Missing required fields (row_id) — row rejected","Numeric values outside allowed range (±1,000,000,000,000) — validation error","Empty rows array — minimum 1 item required","Invalid method enum value (not zero/mean/median) — bad request","Invalid field enum value (not listed_events/updated_events) — bad request"],"whenToPreferThis":"Choose this endpoint when you have local event calendar tabular data (listed_events and updated_events columns) that needs string normalisation and/or missing-value imputation with no external data lookups. It is particularly suited for pre-import data cleaning pipelines where you want two simultaneous reports on both event count fields at very low cost ($0.01 for up to 200 rows). Prefer alternatives if you need live event data retrieval, prediction, or more than 200 rows per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:50:21.436Z","isFirstParty":false,"canonicalSlug":"local-event-calendars-string-normalisation-missing-value-fill-f878b5e2"}