{"uid":"cap_tU44xeM9mFkHHSmskl6pU","slug":"endpoint-telemetry-analyzer-record-quality-audit-string-normalisation-f8e2b8ab","name":"Endpoint Telemetry Analyzer — Record Quality Audit + String Normalisation + Trailing Mean Series","description":"Endpoint telemetry — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean series for supplied endpoint telemetry records (agent_count, reporting_agents). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-security-15-199?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_LVxmhSwKvOamC_kNB-1MP","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":"Runs three analytical reports (record quality audit, string normalisation, and trailing mean series) on supplied endpoint telemetry rows with agent_count and reporting_agents fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and trailing mean series on my endpoint telemetry data — here are 4 rows with agent_count and reporting_agents values across dates 2026-10-01 through 2026-10-04 in groups 'group-a' and 'group-b', using a window of 2 and computing the trailing mean on the agent_count field?","exampleUseCases":[{"title":"Telemetry data quality check","prompt":"I have a batch of endpoint telemetry rows with agent_count and reporting_agents values and I want to know if there are any record quality issues or messy string fields — can you run a full quality audit and string normalisation on these 50 rows using a window of 3 on agent_count?"},{"title":"Rolling average for agent reporting trend","prompt":"Can you compute a trailing mean series with a window of 5 on the reporting_agents field for my telemetry dataset? I have about 120 daily rows across multiple control groups and want to spot trends."},{"title":"Clean and validate control group labels","prompt":"My endpoint telemetry records have inconsistent control_group labels and I need them normalised — can you run the string normalisation and record quality audit on these 30 rows so I can trust the data before analysis?"}],"resultDescription":"Three structured analytical reports: (1) a record quality audit flagging completeness, validity, and anomalies in the telemetry rows; (2) string normalisation output cleaning and standardizing string fields like control_group; and (3) a trailing mean series showing rolling averages over the specified window for the chosen numeric field (agent_count or reporting_agents).","failureModes":["Missing required fields (row_id, date, agent_count, reporting_agents, control_group) causes validation error","Exceeding 200 rows returns an error or truncation","Window size outside range 2–200 is rejected","Date fields not matching YYYY-MM-DD pattern fail schema validation","Null-only numeric columns may produce empty trailing mean output"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously audit data quality, normalise string fields, and compute a rolling/trailing mean on time-series telemetry records for agent monitoring in a single low-cost call. It is best when your data is already collected (no live lookup needed) and you want three analytical passes in one request at $0.01 USDC for up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:33:57.894Z","isFirstParty":false,"canonicalSlug":"endpoint-telemetry-analyzer-record-quality-audit-string-normalisation-f8e2b8ab"}