{"uid":"cap__W-xP0FHAHllhH6X8qE5j","slug":"endpoint-telemetry-adjacent-row-changes-secondary-measure-weighted-mean-2982644e","name":"Endpoint Telemetry — Adjacent Row Changes + Secondary-Measure Weighted Mean","description":"Endpoint telemetry — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean 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-15-159?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_z6F7UhCaXbxSlwzjp-L5X","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":"Computes adjacent row changes and reporting_agents-weighted mean for endpoint telemetry records (agent_count, reporting_agents) across up to 200 rows.","exampleAgentPrompt":"I have endpoint telemetry rows with agent_count and reporting_agents values — can you run adjacent row changes and a reporting_agents-weighted mean on this dataset? Here are my rows: row-1 on 2026-10-01 with agent_count 10 and reporting_agents 1, row-2 on 2026-10-02 with agent_count 20 and reporting_agents 2, row-3 on 2026-10-03 with agent_count 15 and reporting_agents 3. Analyze the agent_count field.","exampleUseCases":[{"title":"Daily agent count drift monitoring","prompt":"I need to see how my agent_count is shifting day over day across these telemetry records — run adjacent row changes and a reporting_agents-weighted mean on these 5 rows: row-1 2026-10-01 agent_count=100 reporting_agents=5, row-2 2026-10-02 agent_count=120 reporting_agents=8, row-3 2026-10-03 agent_count=110 reporting_agents=6, row-4 2026-10-04 agent_count=95 reporting_agents=4, row-5 2026-10-05 agent_count=130 reporting_agents=9. Analyze agent_count."},{"title":"Control group telemetry comparison","prompt":"I have telemetry records split across two control groups — group-a and group-b — and I want both adjacent row changes and a reporting_agents-weighted mean for the agent_count field. My rows: row-1 2026-11-01 group-a agent_count=50 reporting_agents=2, row-2 2026-11-02 group-b agent_count=75 reporting_agents=4, row-3 2026-11-03 group-a agent_count=60 reporting_agents=3, row-4 2026-11-04 group-b agent_count=90 reporting_agents=6. Can you run both reports?"},{"title":"Reporting agent activity trend analysis","prompt":"Analyze my reporting_agents field using adjacent row changes and a weighted mean — here are my 4 rows: row-1 2026-09-01 agent_count=200 reporting_agents=10, row-2 2026-09-02 agent_count=210 reporting_agents=15, row-3 2026-09-03 agent_count=190 reporting_agents=8, row-4 2026-09-04 agent_count=225 reporting_agents=20. Use reporting_agents as the analysis field."}],"resultDescription":"Returns two analytical reports for the supplied telemetry rows: (1) adjacent row changes showing the delta between consecutive rows for the selected field, and (2) a secondary-measure weighted mean of the selected field weighted by the companion measure. Results are computed locally with no external data or predictions, covering up to 200 input rows per call.","failureModes":["More than 200 rows submitted — request rejected with validation error","Missing required row fields (row_id, date, agent_count, reporting_agents, control_group) — schema validation failure","Invalid date format (must match YYYY-MM-DD pattern) — pattern validation error","Field selector not in allowed enum (agent_count or reporting_agents) — enum validation error","Numeric values outside allowed range (-1e12 to 1e12) — range validation error","Empty rows array (minItems: 1 not met) — validation error"],"whenToPreferThis":"Choose this endpoint when you have endpoint telemetry records with agent_count and reporting_agents numeric fields and need both adjacent row-change analysis and a weighted mean in a single low-cost call. It is ideal for operational monitoring workflows where you want to detect day-over-day shifts and compute an importance-weighted average without setting up your own analytics pipeline. Prefer this over general-purpose analytics tools when working within an x402 micropayment agent workflow at $0.01 per call for up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T00:43:20.443Z","isFirstParty":false,"canonicalSlug":"endpoint-telemetry-adjacent-row-changes-secondary-measure-weighted-mean-2982644e"}