Dagyan Insolvenz Engine (DIE)
Real-Time Corporate Default Intelligence for the German Banking Sector.
🏛 The Institutional Mandate
Zero Latency. Zero Ambiguity.
In 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.
Dagyan 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.
⚡ The Competitive Moat
The Dagyan Python SDK provides enterprise developers and quantitative analysts with sub-second access to our edge-deployed NLP pipeline.
- Microsecond Telemetry: Parses unstructured German insolvency notices (Insolvenzbekanntmachungen) and delivers structured JSON payloads in under 3 milliseconds.
- Deterministic Risk Taxonomy: Algorithmic categorization into four strict legal phases:
MODERATE,HIGH,CRITICAL, andTERMINAL. - The Dagyan Ledger: Backed by a continuously updated, proprietary archive of over 395,000+ historical German insolvency records.
- 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.
⚙️ Deployment
pip install --upgrade dagyan-die
🚀 Enterprise Quickstart
The SDK is designed for zero-friction integration into existing banking infrastructures, ERPs (SAP, Ariba), or custom corporate risk monitoring systems.
from dagyan_die import DagyanClient, AuthenticationError
# 1. Initialize the Secure Pipeline
# Use the public demo key or your provisioned enterprise token
client = DagyanClient(api_key="dag_demo_key_2026")
try:
# 2. Extract Sub-Second National Telemetry
counts = client.get_entity_counts(scope="NATION", sector="CORPORATE")
print(f"Active Corporate Risk Entities: {counts}")
# 3. Pull Deterministic Risk Distribution for a Target Date
risk_matrix = client.get_risk_summary(date="2026-08-07", scope="NATION")
print(f"Risk Index Telemetry: {risk_matrix}")
# 4. On-Demand Forensic Isolation & NLP Extraction
ledger = client.get_ledger_summary(date="2026-08-07", scope="STATE", target="Bayern")
if ledger:
target_hash = ledger[0]["primary_notice_hash"]
dossier = client.get_notice_summary(target_hash)
print(f"Automated AI Risk Classification: {dossier.get('risk_reason')}")
except AuthenticationError as e:
print(f"Connection Rejected: {e}")
🔐 Enterprise API Keys & Licensing
Dagyan 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.
To upgrade from the sandbox environment to a live integration pipeline, or to request a 15-minute technical benchmark against your current data providers:
- Platform Portal: www.dagyan.com
- Corporate Inquiries: operations@dagyan.com
- Headquarters: Hannover, Lower Saxony, Germany
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.
Metadata
Release files for dagyan-die 1.0.10
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| File | Size | Uploaded | Provenance | |
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| dagyan_die-1.0.10-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.1 kB
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