{"uid":"cap_m4S8yiMr_LSjS-vT07g-g","slug":"navigation-paths-daily-sum-series-adjacent-row-changes-acc62dce","name":"Navigation Paths — Daily Sum Series + Adjacent Row Changes","description":"Navigation paths — Daily sum series + Adjacent row changes: Daily sum series + Adjacent row changes 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-11-137?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_ijuiTw8x8y2lPP9GvrMzh","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 two analytical reports (daily sum series and adjacent row changes) for navigation path metrics (path_length and search_ms) on up to 200 supplied rows of data.","exampleAgentPrompt":"Can you run the daily sum series and adjacent row changes reports on these navigation path records? I have 4 rows with dates from 2026-10-01 to 2026-10-04, game areas group-a and group-b, and I want to analyze the path_length field.","exampleUseCases":[{"title":"Game pathfinding performance audit","prompt":"I have navigation logs for my game with path lengths and search times recorded daily across two zones — can you compute the daily sum series and adjacent row changes for path_length across these 50 records so I can see how navigation complexity trends over time?"},{"title":"Search latency day-over-day comparison","prompt":"Run the daily sum and adjacent row change analysis on my navigation data for the search_ms field — I want to see how search milliseconds accumulate per day and how much they shift between consecutive rows across these game areas."},{"title":"Multi-area navigation benchmark summary","prompt":"I've got 120 navigation path records split between group-a and group-b game areas from October 2026 — can you give me both the daily sum series and the row-by-row changes for path_length so I can benchmark navigation efficiency across those zones?"}],"resultDescription":"Returns two independent analytical reports: (1) a daily sum series showing aggregated totals of the selected field (path_length or search_ms) grouped by date, and (2) adjacent row changes showing the sequential delta between consecutive records — both computed from the supplied navigation path data using local analytical engines, with no external lookups.","failureModes":["Missing required 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 maxItems limit","Numeric values outside the allowed range (-1e12 to 1e12) are rejected","Invalid field enum value (anything other than path_length or search_ms) causes an error","Empty rows array (minItems:1 violated) returns a validation error"],"whenToPreferThis":"Choose this endpoint when you have structured navigation path records (with dates, game areas, and numeric path_length or search_ms values) and need both time-aggregated daily sums and sequential delta analysis in a single low-cost call. It is ideal for game analytics pipelines, pathfinding performance audits, and search latency trend analysis on batches of up to 200 rows without requiring live data lookups or external integrations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:50:20.616Z","isFirstParty":false,"canonicalSlug":"navigation-paths-daily-sum-series-adjacent-row-changes-acc62dce"}