{"uid":"cap_aZjMsELhBpv0hwux_-rok","slug":"navigation-paths-daily-sum-series-and-date-by-category-pivot-16f574de","name":"Navigation Paths Daily Sum Series and Date by Category Pivot","description":"Navigation paths — Daily sum series + Date by category pivot: Daily sum series + Date by category pivot 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-11-143?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"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"unprobed","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_KiLt3JtNDZFH1cI7jsxEf","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 daily sum time series and a date-by-category pivot table for navigation path records (path_length, search_ms) over up to 200 rows.","exampleAgentPrompt":"Can you run a daily sum series and date-by-category pivot on these navigation path records — I have path_length and search_ms for rows across game areas like group-a and group-b, with dates in 2026-10, and I want to analyze path_length?","exampleUseCases":[{"title":"Game area navigation performance over time","prompt":"I have 150 navigation path records from our game with dates, game_area labels, path_length, and search_ms values — can you generate a daily sum series and a date-by-category pivot for path_length so I can see how each game area compares day by day?"},{"title":"Search latency pivot for QA review","prompt":"We're doing a QA pass on navigation search latency. I'll send you records with row IDs, dates, game_area, and search_ms values — please run the daily sum series and date-by-category pivot on search_ms so we can spot which areas and dates had the highest cumulative search times."},{"title":"Daily path length trends for level design","prompt":"For our level design review, I need a daily sum series and date pivot for path_length across these navigation records — the rows include game_area, date, path_length, and search_ms. Can you produce both reports so we can see which game areas are driving longer paths on specific days?"}],"resultDescription":"Returns two analytical reports: (1) a daily sum time series showing total values of the selected field (path_length or search_ms) aggregated per date, and (2) a date-by-category pivot table breaking down totals by game_area across dates. Both reports are computed locally over the supplied rows (up to 200).","failureModes":["Missing required row fields (row_id, date, game_area) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","Submitting more than 200 rows exceeds the row limit and fails","Null values in path_length or search_ms are accepted but may affect sums","Invalid field enum value (not path_length or search_ms) causes an error","Empty rows array is rejected (minItems: 1)"],"whenToPreferThis":"Use this endpoint when you have up to 200 navigation path records with date and category dimensions and need both a daily sum time series and a category pivot in a single call. It is ideal for game navigation analytics where you want to compare path_length or search_ms trends across game areas over time without setting up your own aggregation pipeline.","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":"navigation-paths-daily-sum-series-and-date-by-category-pivot-16f574de"}