Skip to content

About

No description or website provided.

Topics

Resources

Stars

1 star

Watchers

0 watching

Forks

Latest commit

 

History

3 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 

Repository files navigation

Az. DataEngine: Zero-Token Local Spreadsheet Analytics for Autonomous AI

License: MIT Branding: Az. Consultancy Token-Reduction: 98% Market: KSA & GCC Enterprise


1. The Core Problem (For Business Leaders and Beginners)

Uploading 20MB Excel workbooks or customer CSVs into AI chatbots is costly, slow, and exposes sensitive company data. A single corporate sheet burns 50,000+ tokens just to answer simple questions like "What was Q3 revenue?" or "Where are the data discrepancies?"

The Az. Consultancy Approach:

  • Never send raw tabular data to an external LLM.
  • Run local, deterministic Python/Pandas compute on your own infrastructure ($0.00 token cost).
  • Pass only a mathematically distilled statistical micro-envelope (<300 tokens) to the AI model.

2. Technical Architecture (For Data Scientists and AI Engineers)

Large language models process tabular data with significant token overhead and unpredictable hallucination rates across row-column bindings.

Az. DataEngine acts as an L1 deterministic middleware between enterprise data stores (Excel, CSV, TSV) and autonomous LLM agents (Google Antigravity, Gemini, Claude).

flowchart LR
    A["Raw Data (XLSX, CSV 50k+ Rows)"] --> B["Az. Deterministic L1 Pre-Processor (Pandas / OpenPyXL)"]
    B --> C["Statistical Digest Generator: Missingness, Dtypes, Quartiles"]
    C -->|Micro-Envelope < 300 Tokens| D["Autonomous AI Agent (Antigravity / Gemini)"]
    D --> E["Actionable Enterprise Decision / Report"]
Loading

Key Capabilities:

  • Zero Token Tabular Ingestion: Parse multi-sheet Excel files locally with sub-second latency.
  • Automated Data Hygiene: Compute exact missingness, column distribution, null counts, and summary statistics.
  • Crash-Proof Design: Graceful error handling and headless execution built for continuous production pipelines.

3. Quickstart

Installation

git clone https://github.com/Amz34/az-zero-token-data-engine.git
cd az-zero-token-data-engine
pip install pandas openpyxl

Usage

Generate a distilled, token-free analytical summary:

python3 scripts/data_analyzer.py sample_financials.xlsx --pretty

4. Enterprise Services & Consulting (KSA & GCC)

Az. Consultancy deploys secure, self-hosted autonomous agent pipelines, bilingual WhatsApp/web assistants, and zero-token enterprise data architectures for enterprises across the Kingdom of Saudi Arabia.

  • Corporate Site & Case Studies: Connect with Az. Consultancy for custom AI integrations.
  • Architecture Audits: Cut corporate LLM API bills by 80%+ while preserving data privacy.

License

MIT © Az. Consultancy


Part of my always-on agent stack · Awesome Agent Infrastructure (135 live-checked building blocks).

About

No description or website provided.

Topics

Resources

Stars

1 star

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages