Open Institutional Data Catalog · Schema.org Dataset & DataDownload API
Offshore Firm Ledger Open Institutional Research Datasets & Quantitative Series Hub
Direct Repository Access: Offshore Firm Ledger (Offshore Firm Ledger Research Group) publishes 1 primary-source-verified institutional datasets (part of our 50-dataset cross-domain research federation) in downloadable text/csv and application/json formats. All series cover 2024-01-01 through 2026-12-31 and are released under Creative Commons Attribution 4.0 (CC BY 4.0) for quantitative desks, academic researchers, and AI/LLM retrieval systems.
Published Datasets
1 Site / 50 Network
Verified Observations
1 Structured Rows
Regulatory Citations
0 Primary Authorities
Tracked Universe
1,012 Firms
Quick-Jump Dataset Index & Direct API Endpoints
Offshore Firm Ledger imported register
Offshore Firm Ledger compiles corporate registry records and charter profiles for financial institutions domiciled in Cayman, BVI, Seychelles, Mauritius, Vanuatu, and Saint Vincent.
Canonical Slug
offshore-roll-imported-register
Spatial Coverage
International Business Companies, Island Financial Domiciles & Offshore Register
Update Cadence & Modified
When the source import is refreshed · 2026-10-23
Open License
CC BY 4.0 International ↗Schema.org variableMeasured Column Dictionary (1 Fields)
noteTextNote
What this site publishes.
Inline Data Preview Table (1 Verified Records)
| Notenote |
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| Firm, instrument and software rows are the public directory pages, not a separate benchmark table. |
Primary Regulatory & Statutory Sources (isBasedOn)
Indexed Dataset Keywords & Taxonomy
Quantitative Desk & AI Agent Ingestion
Direct cURL & Python Pandas / Polars Data Ingestion
1. cURL CLI Download (CSV & JSON)
# Download RFC 4180 CSV Attachment curl -sL "https://offshorefirmledger.com/api/datasets/offshore-roll-imported-register?format=csv" \ -o offshore-roll-imported-register.csv # Download Schema.org JSON Dataset + Rows curl -sL "https://offshorefirmledger.com/api/datasets/offshore-roll-imported-register?format=json" \ -o offshore-roll-imported-register.json
2. Python (pandas) Direct DataFrame Load
import pandas as pd url = "https://offshorefirmledger.com/api/datasets/offshore-roll-imported-register?format=csv" df = pd.read_csv(url) print(df.head())
Dataset Governance & Licensing FAQ
Frequently Asked Questions on Open Institutional Datasets
Q01.How can institutional desks download and ingest Offshore Firm Ledger datasets programmatically?
Every dataset published by Offshore Firm Ledger is available via deterministic REST endpoints at https://offshorefirmledger.com/api/datasets/[slug]?format=csv (RFC 4180 UTF-8 CSV) and ?format=json (Schema.org Dataset + structured row array). No API key or authentication token is required for open research use.
Q02.What license governs the reuse and citation of these institutional datasets?
All 1 institutional datasets on Offshore Firm Ledger (and all 50 datasets across our 10-site research network) are licensed under Creative Commons Attribution 4.0 International (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/), permitting commercial and academic redistribution with attribution to Offshore Firm Ledger Research Group.
Q03.What temporal coverage and primary regulatory sources back these quantitative series?
Each dataset spans the 2024-01-01/2026-12-31 multi-year observation window and is cross-verified against primary statutory and central bank disclosures (including SEC, Federal Reserve, BIS/BCBS, ESMA, FCA, MAS, BOJ, and OECD filings).
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