Dataclaw Parani01: 5 Claude Code Sessions with 17.4M Input Tokens

Featuring 5 Claude Code conversation sessions totaling 17.4M input tokens and 69K output tokens, exported by parani01 in February 2026. It documents interactions with the claude-opus-4-6 model across 2 distinct projects using the DataClaw tool.

Use Cases

• Analyzing agentic coding patterns using the git_branch field to track task progression
• Evaluating token consumption in large-context coding tasks via input and output token metrics
• Studying tool-use behavior in claude-opus-4-6 sessions

Strengths

• Includes 17.4M input tokens of context
• Captures git_branch metadata for version control context
• Uses high-capacity claude-opus-4-6 model logs

Limitations

• Extremely small sample size of 5 sessions
• High input-to-output token ratio suggests heavy context usage with minimal model generation
• Limited to only two projects

Provenance

Source

parani01 via DataClaw

Collection Method

Exported conversation logs from Claude Code

Freshness

Last updated February 2026.