spences10/analytics

Session Analytics

Query your Claude Code usage data from the ccrecall SQLite database.

Prerequisites

# Sync transcripts to SQLite (requires bun)
bun x ccrecall sync

Database location: ~/.claude/ccrecall.db

CLI Commands

bun x ccrecall sync      # Import transcripts (incremental)
bun x ccrecall stats     # Show session/message/token counts
bun x ccrecall sessions  # List recent sessions
bun x ccrecall search    # Full-text search across messages
bun x ccrecall tools     # Show most-used tools
bun x ccrecall query     # Execute raw SQL

Quick Queries

Token usage by model

SELECT model,
       COUNT(*) as messages,
       SUM(input_tokens) as input_tok,
       SUM(output_tokens) as output_tok
FROM messages
WHERE model IS NOT NULL
GROUP BY model;

Daily usage

SELECT date(timestamp/1000, 'unixepoch') as day,
       COUNT(*) as msgs,
       SUM(output_tokens) as tokens
FROM messages
GROUP BY day
ORDER BY day DESC
LIMIT 7;

Usage by project

SELECT s.project_path,
       COUNT(m.uuid) as messages,
       SUM(m.output_tokens) as tokens
FROM sessions s
JOIN messages m ON m.session_id = s.id
GROUP BY s.project_path
ORDER BY tokens DESC
LIMIT 10;

Tool usage

SELECT tool_name, COUNT(*) as count
FROM tool_calls
GROUP BY tool_name
ORDER BY count DESC;

Search thinking blocks

SELECT substr(thinking, 1, 200) as preview,
       datetime(timestamp/1000, 'unixepoch') as time
FROM messages
WHERE thinking LIKE '%your search term%'
ORDER BY timestamp DESC
LIMIT 10;

Using with mcp-sqlite-tools

If you have mcp-sqlite-tools configured, Claude can query directly:

1. Open database: open_database ~/.claude/ccrecall.db
2. Tables: sessions, messages, tool_calls, tool_results, teams, team_members, team_tasks
3. Run queries above or ask Claude to analyze patterns

GitHub

https://github.com/spences10/ccrecall