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Nicolas Dupuis

aidatatools

Building deterministic data tools for AI agents turning messy scraper output into clean, exact, token efficient reports.

ACTOR STATS

2 public Actors

4 total users

1 monthly user

>99% runs succeeded

AI Data Tools 🤖

I build deterministic middleware for AI agents — tools that sit between raw scraper output and your agent, doing the heavy lifting that LLMs do poorly.

The problem I solve: scrapers return huge, messy datasets (80+ fields per product, duplicates, noise). Agents drown in tokens, hit context limits, and hallucinate numbers when they try to calculate.

My approach: 100% deterministic Python. No LLM in the pipeline. Exact figures, never hallucinated. Massive token reduction (90–99%).

⚒️ What I build: data cleaning, deduplication, price analysis, anomaly & fake-discount detection — all agent-first, all exact.

🚀 First tool: E-commerce Data Cleaner & Analyzer — turns Amazon, AliExpress, eBay or Temu scraper output into a compact, AI-ready report.

🫱🏻‍🫲🏽 Open to collaboration and feedback.

Public Actors