How to cut LLM costs by 97%?

Pre-extract only needed fields from JSON APIs using query tools like JSON PowerExtract. Skip raw dumps — trim to essentials before prompting.

What is JSON PowerExtract?

A serverless API for querying raw JSON and outputting minimal payloads. Free 500 reqs/month on RapidAPI; scales cheap for production.

Why send raw JSON to LLMs?

Laziness — but it wastes 25x tokens on unused data. Always clean first for real savings.

🤖 Large Language Models

The Token Trap: Slash LLM Costs 97% by Scrubbing JSON Before Prompts

Indie hackers watch burn rates spike on unused JSON fields. Enterprises bleed millions. A dead-simple fix trims payloads 97%, turning waste into profit.

theAIcatchup Apr 08, 2026 3 min read

Chart comparing raw JSON vs cleaned payload token usage and LLM costs

⚡ Key Takeaways

Pre-clean JSON inputs to LLMs for 97% token — and cost — reductions at scale. 𝕏
Ditch manual parsing; use query tools like JSON PowerExtract to avoid boilerplate. 𝕏
Input optimization trumps prompt tweaks: the real low-hanging fruit in AI efficiency. 𝕏

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theAIcatchup

Community-driven. Code-first.

#AI efficiency #JSON extraction #LLM costs #token-optimization

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Originally reported by Dev.to

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