Roll up Claude Code sessions by working directory (project) from Agent Monitor data — session count, total cost, total tokens, and last-active timestamp per cwd — so per-project activity can be compared at a glance. Use when summarizing where effort and spend went across projects.
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Aggregate session activity per working directory (project).
The user provides: $ARGUMENTS
top N → keep only the N highest-cost (or highest-count) projects.| Endpoint | Returns |
|---|---|
GET /api/run/cwds | the distinct working directories that have sessions — the rollup key set |
GET /api/sessions?limit=N | session list: id, status, model, cwd, started_at, ended_at, cost, metadata (usage_extras with token counts) |
GET /api/pricing/cost | fleet cost: total_cost, breakdown[{ model, input_tokens, output_tokens, cache_read_tokens, cache_write_tokens, cost, matched_rule }] — for the fleet total to compute each cwd's share |
GET /api/run/cwds for the canonical list of working directories. Apply the
$ARGUMENTS filter (substring match) if one was given.
GET /api/sessions?limit=1000. Bucket sessions by cwd.
For each working directory compute:
cost field across the bucket.usage_extras (sum the four into a total, and keep input + output as the
"billable text" subtotal).started_at (or ended_at) in the bucket.GET /api/pricing/cost for total_cost; show each cwd's cost as a percentage of the
fleet total.
Sort by cost descending by default (or count if the user asked); apply top N.
Markdown table: project (cwd basename) | sessions | total tokens | cost | % of fleet | last active | models.
Currency as USD to 4 decimal places; token counts with thousands separators; sort
cost-descending. Add a final TOTAL row summing the columns. Only count tokens that
the session metadata actually carries — if usage_extras is absent for a session,
note it as excluded rather than guessing. If the dashboard is unreachable, tell the
user to start it with npm start from the repo root.
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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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