{"uid":"cap_dEs8FuFwixOygcsQbZuzo","slug":"endpoint-telemetry-string-normalisation-numeric-interval-filter-15bc1387","name":"Endpoint Telemetry — String Normalisation + Numeric Interval Filter","description":"Endpoint telemetry — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter 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-15-026?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"},"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":"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_pZJUbJ-qC84oGRLTBBDcW","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 filters rows by a numeric interval for up to 200 endpoint telemetry records (agent_count, reporting_agents) in two local analytical reports.","exampleAgentPrompt":"I have 4 rows of endpoint telemetry data with agent_count and reporting_agents values — can you normalize the control_group strings and filter rows where agent_count is between 0 and 100? Here are my rows: row-1 (group-a, 2026-10-01, agent_count=10, reporting_agents=1), row-2 (group-b, 2026-10-02, agent_count=20, reporting_agents=2), row-3 (group-a, 2026-10-03, agent_count=15, reporting_agents=3), row-4 (group-b, 2026-10-04, agent_count=30, reporting_agents=4).","exampleUseCases":[{"title":"Filter active agent cohorts by count range","prompt":"I have a week's worth of endpoint telemetry — 8 rows across two control groups. Can you normalize the group name strings and filter to only the rows where agent_count is between 5 and 25? Fields: agent_count, rows include dates from 2026-10-01 to 2026-10-08."},{"title":"Audit reporting_agents within acceptable thresholds","prompt":"Can you run a numeric interval filter on my 12 telemetry rows using the reporting_agents field, keeping only rows between 2 and 50, and normalize the control_group strings at the same time? I need both reports."},{"title":"Clean telemetry before dashboard ingestion","prompt":"Before I load this telemetry into our dashboard, can you normalize the control_group labels and filter out any rows where agent_count falls outside 0 to 100? I have 20 rows covering group-a and group-b from October 2026."}],"resultDescription":"Returns two analytical reports: one with string-normalised control_group values and one with rows filtered to those where the selected numeric field (agent_count or reporting_agents) falls within the specified [minimum, maximum] interval. Up to 200 input rows are processed locally with no external lookups.","failureModes":["Submitting more than 200 rows returns an error or truncates input","Missing required fields (row_id, date, control_group, agent_count, reporting_agents) causes validation failure","Date strings not matching YYYY-MM-DD pattern are rejected","Specifying a field value outside the enum [agent_count, reporting_agents] returns an error","Minimum greater than maximum produces an empty filtered result set","Null numeric values may be excluded or handled as edge cases in interval filtering"],"whenToPreferThis":"Choose this endpoint when you have structured endpoint telemetry data (up to 200 rows) with agent_count and reporting_agents fields and need both string normalisation of categorical fields and numeric interval filtering in a single call. It is ideal for lightweight, offline analytical pre-processing without any external data lookups or predictions — especially useful before loading telemetry into dashboards or running further analysis.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T00:42:59.145Z","isFirstParty":false,"canonicalSlug":"endpoint-telemetry-string-normalisation-numeric-interval-filter-15bc1387"}