Metadata-Version: 2.4
Name: dagyan-die
Version: 1.0.6
Summary: Official Python SDK for Dagyan Insolvenz Engine (DIE) — Engineered by Gokul Krishnan Pudukode Sivaramakrishnan.
Author-email: Gokul Krishnan Pudukode Sivaramakrishnan <psgokulkrishnan@gmail.com>
Maintainer-email: Gokul Krishnan <psgokulkrishnan@dagyan.com>
Project-URL: Homepage, https://www.dagyan.com
Project-URL: Author Profile, https://www.linkedin.com/in/psgokulkrishnan
Project-URL: Crunchbase Profile, https://www.crunchbase.com/organization/dagyan
Project-URL: GitHub Repository (Author), https://github.com/psgokulkrishnan
Project-URL: GitHub Repository (Company), https://github.com/dagyan-intelligence
Requires-Python: >=3.8
Description-Content-Type: text/markdown

<div align=\"center\">\n  <!-- Replace with the raw GitHub URL to your DAGYAN Brutalist SVG Logo -->\n  
<img src=\"https://raw.githubusercontent.com/psgokulkrishnan/dagyan-die/main/assets/dagyan_logo.svg\" alt=\"Dagyan Intelligence Logo\" width=\"300\"/>\n\n  # Dagyan Insolvenz Engine (DIE)\n  **Real-Time Corporate Default Intelligence for the German Banking Sector.**\n  \n  [![PyPI version](https://badge.fury.io/py/dagyan-die.svg)](https://badge.fury.io/py/dagyan-die)\n  [![Python Versions](https://img.shields.io/pypi/pyversions/dagyan-die.svg)](https://pypi.org/project/dagyan-die/)\n  [![License: Proprietary](https://img.shields.io/badge/License-Enterprise-blue.svg)](#enterprise-licensing)\n  [![Status](https://img.shields.io/badge/Status-Production_Ready-success.svg)](#)\n</div>\n\n---\n\n## 🏛 The Institutional Mandate\n**Zero Latency. Zero Ambiguity.** \n\nIn corporate finance and supply chain logistics, a 14-day delay in recognizing a client's insolvency can result in millions of euros in unrecoverable Non-Performing Loans (NPLs). Legacy credit bureaus rely on multi-day batch processing, creating a dangerous 48-to-72-hour blind spot between a court filing and a portfolio alert. \n\nDagyan Intelligence engineers autonomous telemetry systems that extract, vectorize, and deploy critical economic reality before it hits the public consensus. We do not guess market movements. We compute them.\n\n## ⚡ The Competitive Moat\nThe Dagyan Python SDK provides enterprise developers and quantitative analysts with sub-second access to our edge-deployed NLP pipeline. \n\n* **Microsecond Telemetry:** Parses unstructured German insolvency notices (*Insolvenzbekanntmachungen*) and delivers structured JSON payloads in under 3 milliseconds.\n* **Deterministic Risk Taxonomy:** Algorithmic categorization into four strict legal phases: `MODERATE`, `HIGH`, `CRITICAL`, and `TERMINAL`.\n* **The Dagyan Ledger:** Backed by a continuously updated, proprietary archive of over 395,000+ historical German insolvency records.\n* **100% DSGVO (GDPR) Compliant:** Edge-deployed and serverless. We apply a strict \"Isolated Scope\" security model and never pass sensitive financial data to public AI models.\n\n---\n\n## ⚙️ Deployment\n\n```bash\npip install --upgrade dagyan-die\n```\n\n## 🚀 Enterprise Quickstart\n\nThe SDK is designed for zero-friction integration into existing banking infrastructures, ERPs (SAP, Ariba), or custom corporate risk monitoring systems.\n\n```python\nfrom dagyan_die import DagyanClient, AuthenticationError\n\n# 1. Initialize the Secure Pipeline\n# Use the public demo key or your provisioned enterprise token\nclient = DagyanClient(api_key=\"dag_demo_key_2026\")\n\ntry:\n    # 2. Extract Sub-Second National Telemetry\n    counts = client.get_entity_counts(scope=\"NATION\", sector=\"CORPORATE\")\n    print(f\"Active Corporate Risk Entities: {counts}\")\n\n    # 3. Pull Deterministic Risk Distribution for a Target Date\n    risk_matrix = client.get_risk_summary(date=\"2026-08-07\", scope=\"NATION\")\n    print(f\"Risk Index Telemetry: {risk_matrix}\")\n\n    # 4. On-Demand Forensic Isolation & NLP Extraction\n    ledger = client.get_ledger_summary(date=\"2026-08-07\", scope=\"STATE\", target=\"Bayern\")\n    if ledger:\n        target_hash = ledger[0][\"primary_notice_hash\"]\n        dossier = client.get_notice_summary(target_hash)\n        print(f\"Automated AI Risk Classification: {dossier.get('risk_reason')}\")\n\nexcept AuthenticationError as e:\n    print(f\"Connection Rejected: {e}\")\n```\n\n---\n\n## 🔐 Enterprise API Keys & Licensing\n\nDagyan handles sensitive, legal-grade corporate restructuring telemetry data. To preserve data integrity and comply with international financial monitoring standards, production API access requires institutional entity verification.\n\nTo upgrade from the sandbox environment to a live integration pipeline, or to request a 15-minute technical benchmark against your current data providers:\n\n* **Platform Portal:** [www.dagyan.com](https://www.dagyan.com)\n* **Corporate Inquiries:** operations@dagyan.com\n* **Headquarters:** Hannover, Lower Saxony, Germany\n\n*Note: Dagyan calculates algorithmic risk classifications for assistive evaluation purposes only. Final credit risks, logistics actions, or financial write-offs remain 100% the operational liability of the subscriber.*\n
