{"uid":"cap_UfsYoWNFIcf8_R2c2LXKF","slug":"endpoint-telemetry-string-normalisation-iqr-outlier-flags-9afa8098","name":"Endpoint Telemetry — String Normalisation + IQR Outlier Flags","description":"Endpoint telemetry — String normalisation + IQR outlier flags: String normalisation + IQR outlier flags for supplied endpoint telemetry records (agent_count, reporting_agents). 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-security-15-032?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","control_group","date","agent_count","reporting_agents"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"agent_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"control_group":{"type":"string","default":"","maxLength":80},"reporting_agents":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","agent_count":10,"control_group":"group-a","reporting_agents":1},{"date":"2026-10-02","row_id":"row-2","agent_count":20,"control_group":"group-b","reporting_agents":2},{"date":"2026-10-03","row_id":"row-3","agent_count":15,"control_group":"group-a","reporting_agents":3},{"date":"2026-10-04","row_id":"row-4","agent_count":30,"control_group":"group-b","reporting_agents":4}],"maxItems":200,"minItems":1},"field":{"enum":["agent_count","reporting_agents"],"type":"string","default":"agent_count"}}},"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_xxw-q6460Swm7yLUV6_1o","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 string fields and flags IQR-based outliers in endpoint telemetry records containing agent_count and reporting_agents metrics, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have up to 200 rows of endpoint telemetry data with agent_count and reporting_agents fields — can you normalize the string fields and flag any IQR outliers for the agent_count field across control groups and dates?","exampleUseCases":[{"title":"Outlier detection in agent fleet telemetry","prompt":"I've got daily telemetry records for my agent fleet across two control groups — can you normalize the strings and flag any rows where agent_count is a statistical outlier using IQR analysis? I have about 50 rows covering the past two months."},{"title":"Reporting agents anomaly check","prompt":"Can you run string normalization and IQR outlier flagging on my endpoint telemetry for the reporting_agents field? I want to know which of my 120 rows are statistically anomalous."},{"title":"Control group telemetry quality audit","prompt":"I want to clean up my endpoint telemetry dataset — it has agent_count and reporting_agents columns for two control groups over a date range. Can you normalize the string fields and give me two analytical reports identifying IQR outliers in the agent_count column?"}],"resultDescription":"Two analytical reports covering: (1) string-normalised telemetry records and (2) IQR-based outlier flags identifying which rows have statistically anomalous values for the selected field (agent_count or reporting_agents), for up to 200 input rows.","failureModes":["More than 200 rows submitted — request exceeds maxItems limit","Missing required fields (row_id, date, control_group, agent_count, reporting_agents) cause validation errors","Invalid date format (must be YYYY-MM-DD pattern) triggers schema rejection","Null or non-numeric values in agent_count or reporting_agents may affect outlier computation","Invalid field enum value (must be 'agent_count' or 'reporting_agents') causes rejection"],"whenToPreferThis":"Choose this endpoint when you have structured endpoint telemetry data (up to 200 rows) with agent_count and reporting_agents metrics and need both string normalisation and IQR-based outlier detection in a single call without any live lookup, prediction, or external action. It is purpose-built for batch telemetry quality checks on agent fleet monitoring data at minimal cost ($0.01 USDC for two reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:38:02.025Z","isFirstParty":false,"canonicalSlug":"endpoint-telemetry-string-normalisation-iqr-outlier-flags-9afa8098"}