{"uid":"cap_EuRpPJ76fAbdn_goj8Kw1","slug":"experiment-run-timing-numeric-row-ordering-adjacent-row-changes-b29c46b6","name":"Experiment Run Timing — Numeric Row Ordering + Adjacent Row Changes","description":"Experiment run timing — Numeric row ordering + Adjacent row changes: Numeric row ordering + Adjacent row changes for supplied experiment run timing records (run_seconds, sample_count). 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-education-13-116?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","course_group","date","run_seconds","sample_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"run_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"course_group":{"type":"string","default":"","maxLength":80},"sample_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","run_seconds":10,"course_group":"group-a","sample_count":1},{"date":"2026-10-02","row_id":"row-2","run_seconds":20,"course_group":"group-b","sample_count":2},{"date":"2026-10-03","row_id":"row-3","run_seconds":15,"course_group":"group-a","sample_count":3},{"date":"2026-10-04","row_id":"row-4","run_seconds":30,"course_group":"group-b","sample_count":4}],"maxItems":200,"minItems":1},"field":{"enum":["run_seconds","sample_count"],"type":"string","default":"run_seconds"}}},"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_Q5lNDtcOkoqvQ3JZE-lof","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 experiment run timing records by applying numeric row ordering and adjacent row change detection, delivering two analytical reports for up to 200 rows.","exampleAgentPrompt":"Analyze my experiment run timing data — here are 4 rows with row IDs row-1 through row-4, dates from 2026-10-01 to 2026-10-04, course groups group-a and group-b, run_seconds values of 10, 20, 15, and 30, and sample counts 1 through 4 — give me the numeric row ordering and adjacent row changes reports for the run_seconds field.","exampleUseCases":[{"title":"Ranking lab experiment run durations","prompt":"I have 50 experiment run records with row IDs, dates, course groups, and run_seconds values. Can you sort them by numeric order and show me how much run_seconds changes between each consecutive row?"},{"title":"Detecting sample count shifts across trials","prompt":"Here are my experiment timing records with sample_count measurements across multiple course groups and dates. Run the numeric ordering and adjacent row changes analysis on the sample_count field so I can see trends and jumps."},{"title":"Comparing sequential experiment timing across groups","prompt":"I want to compare how run times shift between consecutive experiment entries — I have 120 rows with row IDs, dates from 2025-01-01 onwards, group labels, and run_seconds. Give me both the ordering report and the adjacent changes report for run_seconds."}],"resultDescription":"Two analytical reports: (1) a numeric row ordering report ranking the supplied rows by the chosen field (run_seconds or sample_count), and (2) an adjacent row changes report showing the delta between each consecutive row for that field. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, course_group) causes rejection","Invalid date format (not YYYY-MM-DD) fails pattern validation","Numeric values outside the allowed range trigger schema errors","Empty rows array is rejected due to minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you need both sequential numeric ordering and adjacent row delta computation on experiment run timing data (run_seconds or sample_count) in a single low-cost call. Ideal for education or lab workflows where you want ranked ordering plus change detection on up to 200 rows without any external data access or live predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:52:08.976Z","isFirstParty":false,"canonicalSlug":"experiment-run-timing-numeric-row-ordering-adjacent-row-changes-b29c46b6"}