{"uid":"cap_9cDdgBOBcZsI7y2SAx4Fd","slug":"lighting-setups-numeric-interval-filter-explicit-missing-value-fill-33be6fc3","name":"Lighting Setups — Numeric Interval Filter + Explicit Missing-Value Fill","description":"Lighting setups — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + Explicit missing-value fill for supplied lighting setups records (light_count, render_seconds). 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-creative-11-135?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","light_count","render_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"asset_group":{"type":"string","default":"","maxLength":80},"light_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"render_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","light_count":10,"render_seconds":1},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","light_count":20,"render_seconds":2},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","light_count":15,"render_seconds":3},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","light_count":30,"render_seconds":4}],"maxItems":200,"minItems":1},"field":{"enum":["light_count","render_seconds"],"type":"string","default":"light_count"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_AghQbJ76b9rSP3o1mSANT","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":"Filters lighting setup records by a numeric interval on a chosen field and fills missing values using zero, mean, or median imputation, returning up to 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a set of lighting setup records with light_count and render_seconds columns — some values are null. Can you filter them to only keep rows where light_count is between 0 and 100, and fill any missing light_count values using the median? Here are up to 200 rows across asset groups like 'studio-a' and 'studio-b'.","exampleUseCases":[{"title":"Clean render-time data for pipeline reporting","prompt":"I have 150 lighting setup records from our render farm and some render_seconds values are missing. Can you filter to only rows where render_seconds is between 1 and 3600 seconds and fill the missing ones with the mean? I need the cleaned dataset for our weekly pipeline report."},{"title":"Filter overexposed light counts for QA","prompt":"Our QA team flagged that light_count values outside 5 to 200 are invalid. Can you filter my 80 asset group lighting rows to that range and fill any null light_count entries with zero so we can flag anomalies cleanly?"},{"title":"Prepare imputed lighting data for artist review","prompt":"I've got lighting setup logs for asset groups 'hero-env' and 'bg-props' across October 2026 — about 60 rows — and I need to fill missing light_count values with the median and keep only rows where light_count is between 0 and 500. Can you run that cleanup and give me two summary reports?"}],"resultDescription":"Returns up to 2 analytical reports covering the supplied lighting setup records after applying the numeric interval filter (keeping rows where the chosen field falls within [minimum, maximum]) and filling any null values in that field using the selected method (zero, mean, or median). Results are computed locally with no external lookups.","failureModes":["Empty rows array or fewer than 1 row — validation error","More than 200 rows submitted — rejected with max-items error","Invalid date format not matching YYYY-MM-DD pattern — schema validation failure","Field value outside allowed numeric range (±1e12) — rejected","Invalid enum value for field or method — schema validation error","Missing required row fields (row_id, date, light_count, render_seconds) — error","minimum greater than maximum causing empty filter result — may return empty dataset"],"whenToPreferThis":"Choose this endpoint when you have lighting setup records (with light_count and render_seconds fields) that need both a numeric range filter and null imputation in a single call, and you want up to 2 local analytical reports without any external API lookups or predictions. It is ideal for small-to-medium batches (≤200 rows) where cost efficiency ($0.01 USDC for 2 reports) matters and the data is already available client-side.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:12.015Z","isFirstParty":false,"canonicalSlug":"lighting-setups-numeric-interval-filter-explicit-missing-value-fill-33be6fc3"}