{"uid":"cap_7g1vUrC8kaQaJHlT0LxsE","slug":"lighting-setups-base-100-series-explicit-missing-value-fill-2af34ad0","name":"Lighting Setups — Base-100 Series + Explicit Missing-Value Fill","description":"Lighting setups — Base-100 series + Explicit missing-value fill: Base-100 series + 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-11-169?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_-1h5OPzmRPCF4CGiB-yfr","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":"Computes a base-100 index series and fills missing values in lighting setup records (light_count, render_seconds) for up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"I have a dataset of lighting setups with up to 50 rows — each row has a row_id, asset_group, date, light_count, and render_seconds — and some light_count values are missing. Can you index the light_count field to base 100 starting at row index 0 and fill missing values using the median, then give me both reports?","exampleUseCases":[{"title":"Index VFX lighting asset data","prompt":"I have 80 rows of lighting setup records with asset_group, date, light_count, and render_seconds. Several light_count values are null. Can you build a base-100 index series for light_count starting from row 0, fill the missing values using the mean method, and return both reports?"},{"title":"Normalize render time trends","prompt":"I've got a list of up to 120 rendering session records with dates and render_seconds — some values are missing. Please index render_seconds to base 100 from the first row and fill missing values with zero, and give me the two analytical reports."},{"title":"Audit missing lighting data before delivery","prompt":"Before I hand off these 40 lighting setup records to the client, I need to fill any missing light_count values using median imputation and also see a base-100 indexed series for light_count from row 0 — can you run both reports?"}],"resultDescription":"Two analytical reports: (1) a base-100 index series for the selected field across up to 200 rows of lighting setup data, and (2) a record of explicitly filled missing values using the chosen method (zero, mean, or median). No external lookups or predictions are included.","failureModes":["Fewer than 1 row provided — minimum 1 row required","More than 200 rows submitted — exceeds maximum row count","base_index out of range (must be 0–199)","Invalid field value — must be 'light_count' or 'render_seconds'","Invalid method value — must be 'zero', 'mean', or 'median'","Malformed date strings not matching YYYY-MM-DD pattern","row_id missing or empty — required field","Numeric values outside the allowed range (-1e12 to 1e12)"],"whenToPreferThis":"Choose this endpoint when you need both a base-100 indexed time series and explicit missing-value imputation for lighting setup records (light_count or render_seconds) in a single call. It is best suited for small-to-medium datasets (up to 200 rows) of 3D rendering or VFX production data where local analytical processing suffices and no live data lookup or external prediction is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T06:50:32.649Z","isFirstParty":false,"canonicalSlug":"lighting-setups-base-100-series-explicit-missing-value-fill-2af34ad0"}