{"uid":"cap_NKL8WJt9oVYivKb0Qz04a","slug":"navigation-paths-numeric-interval-filter-adjacent-row-changes-5b466b34","name":"Navigation Paths — Numeric Interval Filter + Adjacent Row Changes","description":"Navigation paths — Numeric interval filter + Adjacent row changes: Numeric interval filter + 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-11-127?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"},"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":"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_abF1A6M1KcRwyJ5_MA5Ib","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 navigation path records by a numeric range on path_length or search_ms, and computes adjacent-row changes for those records, returning two analytical reports in one call.","exampleAgentPrompt":"For my navigation path dataset below (up to 200 rows with row_id, game_area, date, path_length, and search_ms), give me two reports: filter rows where path_length is between 5 and 50, and also show me the adjacent row changes in path_length across all supplied records.","exampleUseCases":[{"title":"Detect search speed regressions between sessions","prompt":"I have 150 navigation path records with search_ms values — can you filter to only rows where search_ms is between 200 and 800, and also show me how search_ms changes from one row to the next so I can spot regressions?"},{"title":"Identify mid-range path lengths in a game area","prompt":"From my navigation path dataset for game areas group-a and group-b, filter the rows where path_length falls between 10 and 40, and compute adjacent row changes in path_length so I can see if paths are getting longer or shorter over time."},{"title":"Quality-check navigation data for outliers","prompt":"I want to audit my navigation path records — filter out anything where search_ms is outside the range 0 to 500, and show me the row-to-row deltas in search_ms so I can catch any sudden spikes in my supplied data."}],"resultDescription":"Two analytical reports based on the supplied rows: (1) a subset of rows where the chosen numeric field (path_length or search_ms) falls within the specified minimum–maximum interval, and (2) a row-by-row delta report showing changes between adjacent records for that field. Up to 200 input rows supported.","failureModes":["Fewer than 1 row supplied — validation error","More than 200 rows submitted — request rejected","Invalid date format (not YYYY-MM-DD) on any row — schema validation failure","Minimum value greater than maximum — may return empty interval filter result","Numeric field values outside allowed bounds (±1e12) — validation error","Missing required row fields (row_id, path_length, search_ms, date, game_area) — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 navigation path records (with path_length and search_ms fields) and need both a numeric range filter AND adjacent-row change detection in a single low-cost call ($0.01 USDC). It operates entirely on supplied data — no external lookup or live data source — making it ideal for offline batch analysis of game navigation telemetry where you want two reports simultaneously without separate API calls.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:49:54.904Z","isFirstParty":false,"canonicalSlug":"navigation-paths-numeric-interval-filter-adjacent-row-changes-5b466b34"}