# Tokensift

> Updated 2026-08-29 · type: tool · category: ai-infrastructure · status: active · rev 1

Open-source, tokenizer-level static linter for LLM prompts and payloads — flags token waste (UUIDs, repeated blocks, pretty-printed JSON, base64 blobs) with…

- Open source: yes (MIT)
- Self-hostable: yes
- Pricing model: free
- Best for: Developers building LLM applications who want to lint prompts and payloads for token waste in code or CI/CD.
- Last verified: 2026-09-04

- **Canonical:** https://gtmstacker.com/registry/tool/tokensift/
- **Source:** [github · ritenv/tokensift](https://github.com/ritenv/tokensift)
- **Tags:** ai-infrastructure, llm, cost-governance, linter, prompts
- **Repository:** https://github.com/ritenv/tokensift

## Is Tokensift open source?

Yes — MIT-licensed.

## How much does Tokensift cost?

It is free to use.

## Can I self-host Tokensift?

Yes — it can be self-hosted.


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Open-source, tokenizer-level static linter for LLM prompts and payloads — flags token waste (UUIDs, repeated blocks, pretty-printed JSON, base64 blobs) with fix suggestions. Library + CLI, 20 built-in rules; exact counts for OpenAI, calibrated estimates for Claude.

## Provenance

- Early (13 stars) but actively developed; MIT verified with a LICENSE file present (2026-09-03). Cost-discipline/governance angle for AI-in-GTM at volume.
- Curated from the GTM Stacker signal registry (news_registry.json); license independently checked.