{"uid":"cap_mQj7UgOBymjSsGgUrmtk6","slug":"request-latency-string-normalisation-and-keyed-dataset-comparison-70da7172","name":"Request Latency String Normalisation and Keyed Dataset Comparison","description":"Request latency — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison for supplied request latency records (latency_ms, request_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-software-03-036?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","component","date","latency_ms","request_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"component":{"type":"string","default":"","maxLength":80},"latency_ms":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"request_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","component":"group-a","latency_ms":10,"request_count":1},{"date":"2026-10-02","row_id":"row-2","component":"group-b","latency_ms":20,"request_count":2},{"date":"2026-10-03","row_id":"row-3","component":"group-a","latency_ms":15,"request_count":3},{"date":"2026-10-04","row_id":"row-4","component":"group-b","latency_ms":30,"request_count":4}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","component","date","latency_ms","request_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"component":{"type":"string","default":"","maxLength":80},"latency_ms":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"request_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","component":"group-a","latency_ms":10,"request_count":1},{"date":"2026-10-02","row_id":"row-2","component":"group-b","latency_ms":21,"request_count":2},{"date":"2026-10-03","row_id":"row-3","component":"group-a","latency_ms":17,"request_count":3},{"date":"2026-10-04","row_id":"row-4","component":"group-b","latency_ms":33,"request_count":4}],"maxItems":200,"minItems":0}}},"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_9cYcc51y9f2XcgTDRMr5T","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":"Normalises strings and compares two keyed datasets of request latency records (latency_ms, request_count) across up to 200 rows, producing 2 analytical reports.","exampleAgentPrompt":"Compare these two sets of request latency records — one from last week and one from this week — normalise the component names, and give me a keyed comparison report showing where latency_ms and request_count differ between the two datasets.","exampleUseCases":[{"title":"Pre/post deployment latency regression check","prompt":"I just deployed a new version of our API — here are the latency records from before and after the deploy, each with a component name, date, latency_ms, and request_count. Normalise the component strings and compare the two datasets row by row so I can see where latency got worse."},{"title":"A/B test component latency comparison","prompt":"I have latency measurements for two groups — group-a and group-b — collected over the past four days. Can you normalise the component labels and run a keyed comparison between the two datasets to tell me which group has higher latency and request counts?"},{"title":"Staging vs production latency audit","prompt":"Here are request latency records from our staging environment and our production environment, up to 200 rows each. Normalise the component names and compare the two datasets so I can see where staging and production latency_ms values diverge."}],"resultDescription":"Two analytical reports: (1) a string normalisation report that standardises component and other string fields across the supplied rows, and (2) a keyed dataset comparison report that matches rows by key across the two supplied datasets and highlights differences in latency_ms and request_count values. No external lookups or predictions are made; all analysis is performed locally on the supplied data.","failureModes":["Missing required fields (row_id, component, date, latency_ms, request_count) causes validation error","Exceeding 200 rows in either dataset results in rejection","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Null or out-of-range numeric values for latency_ms or request_count may be flagged","Empty primary rows array causes error (minItems: 1)","Payment of 0.01 USDC not included causes 402 rejection"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and keyed dataset comparison on request latency data in a single low-cost call. It is ideal for comparing two snapshots of API or service latency metrics — such as before/after a deployment, A/B test groups, or staging vs production — where you want normalised component labels and a structured diff of latency_ms and request_count values across up to 200 rows. It does not perform live lookups, predictions, or external actions, making it suitable for offline or batch analytical workflows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:46:13.161Z","isFirstParty":false,"canonicalSlug":"request-latency-string-normalisation-and-keyed-dataset-comparison-70da7172"}