Compare two sessions side-by-side using Agent Monitor data — per-model token usage (input/output/cache_read/cache_write + compaction baselines), pricing engine cost breakdowns, workflow intelligence (complexity scores, tool flow transitions, subagent effectiveness), session metadata (thinking_blocks, turn_count, turn_duration_ms, usage_extras), and full event timelines with all 10+ event types.
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Compare two Claude Code sessions side-by-side using Agent Monitor data.
The user provides: $ARGUMENTS
This may be:
Identify sessions to compare:
http://localhost:4820/api/sessions/{id}GET /api/sessions?limit=2 (default sort: most recently updated first)Gather detailed data for each session:
GET /api/sessions/{id}GET /api/events?session_id={id}GET /api/agents?session_id={id}GET /api/pricing/cost/{id}Build comparison:
| Metric | Session A | Session B | Difference |
|---|---|---|---|
| Status | completed | error | — |
| Model | sonnet-4 | sonnet-4 | same |
| Duration | 12m 34s | 45m 12s | +32m 38s |
| Total Cost | $0.0234 | $0.1456 | +522% |
| Events | 45 | 187 | +315% |
| Tools Used | 8 | 12 | +4 |
| Error Count | 0 | 7 | +7 |
| Agents | 2 | 5 | +3 |
| Token Type | Session A | Session B | Difference |
|---|---|---|---|
| Input | N | N | ±N% |
| Output | N | N | ±N% |
| Cache Read | N | N | ±N% |
| Cache Write | N | N | ±N% |
| Efficiency | N% | N% | ±N% |
Analysis:
Present as a side-by-side comparison report with:
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Inspect fired CCAM alerts and manage alert rules for token thresholds, event patterns, inactivity, and status duration. Use when acknowledging alerts, creating or editing a rule, checking cooldowns, or connecting alert rules to webhook targets.
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Identify anomalous sessions using Agent Monitor data — cost outliers from the pricing engine, token anomalies (cache miss spikes, compaction baseline surges), unusual event type ratios (PreToolUse/PostToolUse gaps, APIError clusters), behavioral deviations from workflow intelligence (complexity score outliers, error propagation anomalies), and sessions with abnormal metadata (extreme turn_count, high thinking_blocks, zero turn_duration).
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Produce a detailed report on APIError events from Agent Monitor data — counts over time, which sessions and models are affected, and the likely root cause (rate limits, overload/529, or context-window pressure) inferred from each event's summary and data payload. Use when API errors spike or when you need to explain why requests are failing.
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Benchmark one session (or a small recent set) against the rolling average using Agent Monitor data — cost, total tokens, tool count, and workflow complexity score — and report where each metric lands as a percentile of the population. Tells you whether a session was normal, cheap, or an outlier. Use when judging whether a session was typical or out of band.
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Define a spend budget for Claude Code and, optionally, create a cost alert rule that fires when usage crosses the limit, via POST /api/alerts/rules on the Agent Monitor dashboard. Reads current spend from /api/pricing/cost to size the budget sensibly and explains every rule field before writing. Use when setting a spend limit or wiring up a budget guardrail.
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Analyze prompt-cache effectiveness for Claude Code usage from the Agent Monitor dashboard — cache hit rate (total_cache_read / (total_cache_read + total_input)), cache_write vs cache_read reuse, cache-read vs cache-write spend, and the sessions with the poorest reuse. Pulls token totals from /api/analytics, per-session detail from /api/sessions, and dollar splits from /api/pricing/cost. Use when diagnosing cache spend or deciding whether prompt caching is paying off.
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