{"uid":"cap_u4U2cjP-6oJTOGcSrLh3U","slug":"navigation-paths-iqr-outlier-flags-explicit-missing-value-fill-9b5b4c60","name":"Navigation Paths IQR Outlier Flags + Explicit Missing-Value Fill","description":"Navigation paths — IQR outlier flags + Explicit missing-value fill: IQR outlier flags + Explicit missing-value fill for supplied navigation paths records (path_length, search_ms). 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-game-11-180?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","game_area","date","path_length","search_ms"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"game_area":{"type":"string","default":"","maxLength":80},"search_ms":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"path_length":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","game_area":"group-a","search_ms":1,"path_length":10},{"date":"2026-10-02","row_id":"row-2","game_area":"group-b","search_ms":2,"path_length":20},{"date":"2026-10-03","row_id":"row-3","game_area":"group-a","search_ms":3,"path_length":15},{"date":"2026-10-04","row_id":"row-4","game_area":"group-b","search_ms":4,"path_length":30}],"maxItems":200,"minItems":1},"field":{"enum":["path_length","search_ms"],"type":"string","default":"path_length"},"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_cM-jwux6VNBdCiBilPcF6","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":"Analyzes navigation path records (path_length, search_ms) to flag IQR-based outliers and fill missing values using a chosen method (zero, mean, or median), returning two independent analytical reports.","exampleAgentPrompt":"I have up to 200 rows of navigation path records with path_length and search_ms values — some may have nulls or outliers. Can you run IQR outlier flagging and fill missing values using median imputation on path_length, and give me both reports?","exampleUseCases":[{"title":"Game navigation latency outlier audit","prompt":"I've got 150 rows of game navigation data with row IDs, game areas, dates, and search_ms values — some search times look suspiciously high. Can you flag the IQR outliers in search_ms and fill any missing search_ms entries using the mean, and return both reports?"},{"title":"Path length data cleaning before modeling","prompt":"Before I train my model I need to clean my navigation path dataset — flag any IQR outliers in path_length and impute missing path_length values using median for these 80 rows of game area navigation records."},{"title":"QA report on navigation session records","prompt":"Here are 200 rows of navigation session data with path_length and search_ms. Please run IQR outlier detection and fill missing values using zero for the path_length field so I can see both the outlier flags and the fill report together."}],"resultDescription":"Two independent analytical reports for the supplied navigation path rows: (1) IQR-based outlier flags indicating which rows contain extreme values in the target field, and (2) an explicit missing-value fill report showing which cells were imputed and the fill values applied, based on the chosen method (zero, mean, or median). Up to 200 rows processed per call.","failureModes":["Fewer than 1 row supplied — minItems:1 violation returns validation error","More than 200 rows supplied — maxItems:200 exceeded, request rejected","Invalid date format (not YYYY-MM-DD) — pattern validation failure","Field value outside numeric bounds — maximum/minimum range violation","Invalid fill method — must be one of zero, mean, median","Invalid field selection — must be path_length or search_ms","Missing required row fields (row_id, game_area, date) — schema validation error","Payment not included or insufficient — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have navigation path records (path_length and/or search_ms) that need both IQR-based outlier flagging and missing-value imputation in a single call, especially for game area navigation datasets up to 200 rows. Ideal for lightweight, local analytical processing without any external lookups or live data dependencies. Prefer this over general-purpose data tools when you need two co-produced reports (outlier flags + fill audit) cheaply at $0.01 USDC per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:19.285Z","isFirstParty":false,"canonicalSlug":"navigation-paths-iqr-outlier-flags-explicit-missing-value-fill-9b5b4c60"}