VOL. XCIV, NO. 247
★ FINANCIAL TOOLS & SERVICES DIRECTORY ★
PRICE: 5 CENTS
Saturday, September 27, 2025
Investors comparing OpenCorporates and QuantRocket will find that Both OpenCorporates and QuantRocket concentrate on Data APIs workflows, making them natural alternatives for similar investment research jobs. OpenCorporates leans into Regulatory Filings Monitoring, and Other, which can be decisive for teams that need depth over breadth. QuantRocket stands out with Screeners, Quant, and Backtesting that the competition lacks. Use the feature-by-feature table to inspect unique capabilities and confirm which roadmap best maps to your process.
Head-to-head
OpenCorporates vs QuantRocket
Compare pricing, supported platforms, categories, and standout capabilities to decide which tool fits your workflow.
Quick takeaways
- OpenCorporates adds Regulatory Filings Monitoring, and Other coverage that QuantRocket skips.
- QuantRocket includes Screeners, Quant, Backtesting, Auto-Trading & Bots, Advanced Order Types, Paper Trading, and Broker Connectors categories that OpenCorporates omits.
- OpenCorporates highlights: 230M+ company records spanning 145+ jurisdictions, aggregated from 140+ official registries with full provenance and source links., Versioned REST API with JSON (default) or XML output; API keys required. Free tier provides up to 200 requests per month (50 per day)., and OpenRefine Reconciliation API allows entity-matching from company names to legal identifiers..
- QuantRocket is known for: Includes survivorship-bias-free US minute-bar data (from 2007 onward) for Zipline backtests and live trading, with optional real-time feeds from brokers like IBKR and Alpaca., Supports point-in-time screening and ranking pipelines, and integrates with Alphalens and Pyfolio for in-notebook analysis inside Jupyter., and Global coverage through Interactive Brokers’ historical and real-time data across 60+ exchanges, plus optional feeds like EDI global EOD, Sharadar fundamentals, and Brain sentiment datasets..
OpenCorporates
opencorporates.com
The world’s largest open database of legal entities, offering both a public-facing search and an API. Free access is available for personal or public-benefit use, while commercial API access and bulk datasets require a paid plan. Bulk deliveries are provided via SFTP in CSV format, and the platform includes a public status page for web, API, knowledge base, and SFTP availability.
Platforms
Pricing
Quick highlights
- 230M+ company records spanning 145+ jurisdictions, aggregated from 140+ official registries with full provenance and source links.
- Versioned REST API with JSON (default) or XML output; API keys required. Free tier provides up to 200 requests per month (50 per day).
- OpenRefine Reconciliation API allows entity-matching from company names to legal identifiers.
- Enterprise bulk access via SFTP, with six structured CSV datasets (Companies, Officers, Non-Registered Addresses, Alternative Names, Additional Identifiers, and Relationships).
- Relationships dataset includes 30M+ links covering subsidiaries, branches, control statements, and shareholdings, with data from sources like the SEC and UK PSC.
QuantRocket
quantrocket.com
A Docker-based research, backtesting, and live-trading platform built around Jupyter. The free tier is limited to research, while paid plans unlock live and paper trading along with bundled US minute-bar data. Broader global datasets are available via third-party providers. Its tight IBKR integration brings advanced order types, while real-time market data can be streamed from IBKR, Polygon, or Alpaca.
Categories
Platforms
Pricing
Quick highlights
- Includes survivorship-bias-free US minute-bar data (from 2007 onward) for Zipline backtests and live trading, with optional real-time feeds from brokers like IBKR and Alpaca.
- Supports point-in-time screening and ranking pipelines, and integrates with Alphalens and Pyfolio for in-notebook analysis inside Jupyter.
- Global coverage through Interactive Brokers’ historical and real-time data across 60+ exchanges, plus optional feeds like EDI global EOD, Sharadar fundamentals, and Brain sentiment datasets.
- Deep IBKR integration enabling advanced order types such as algorithmic, parent-child, and bracket orders, as well as combos/spreads, margin 'what-if' checks, option greeks, and auction imbalance data.
- Streams tick-level data into TimescaleDB with WebSocket access, and allows flexible bar aggregation.
Shared focus areas
Both platforms align on these research themes, so you can stay within one workflow when your use case involves them.
Where they differ
OpenCorporates
Distinct strengths include:
- 230M+ company records spanning 145+ jurisdictions, aggregated from 140+ official registries with full provenance and source links.
- Versioned REST API with JSON (default) or XML output; API keys required. Free tier provides up to 200 requests per month (50 per day).
- OpenRefine Reconciliation API allows entity-matching from company names to legal identifiers.
- Enterprise bulk access via SFTP, with six structured CSV datasets (Companies, Officers, Non-Registered Addresses, Alternative Names, Additional Identifiers, and Relationships).
QuantRocket
Distinct strengths include:
- Includes survivorship-bias-free US minute-bar data (from 2007 onward) for Zipline backtests and live trading, with optional real-time feeds from brokers like IBKR and Alpaca.
- Supports point-in-time screening and ranking pipelines, and integrates with Alphalens and Pyfolio for in-notebook analysis inside Jupyter.
- Global coverage through Interactive Brokers’ historical and real-time data across 60+ exchanges, plus optional feeds like EDI global EOD, Sharadar fundamentals, and Brain sentiment datasets.
- Deep IBKR integration enabling advanced order types such as algorithmic, parent-child, and bracket orders, as well as combos/spreads, margin 'what-if' checks, option greeks, and auction imbalance data.
Feature-by-feature breakdown
| Attribute | OpenCorporates | QuantRocket |
|---|---|---|
Categories Which research workflows each platform targets | Shared: Data APIs Unique: Regulatory Filings Monitoring, Other | Shared: Data APIs Unique: Screeners, Quant, Backtesting, Auto-Trading & Bots, Advanced Order Types, Paper Trading, Broker Connectors |
Asset types Supported asset classes and universes | Other | Stocks, ETFs, Futures, Currencies, Options |
Experience levels Who each product is built for | Beginner, Intermediate, Advanced | Beginner, Intermediate, Advanced |
Platforms Where you can access the product | Web, API | Web, API |
Pricing High-level pricing models | Free, Subscription | Free, Subscription |
Key features Core capabilities called out by each vendor | Unique
| Unique
|
Tested Verified by hands-on testing inside Find My Moat | Not yet | Not yet |
Editor pick Featured inside curated shortlists | Standard listing | Standard listing |
Frequently Asked Questions
Which workflows do OpenCorporates and QuantRocket both support?
Both platforms cover Data APIs workflows, so you can research those use cases in either tool before digging into the feature differences below.
Do OpenCorporates and QuantRocket require subscriptions?
Both OpenCorporates and QuantRocket keep freemium access with optional paid upgrades, so you can trial each platform before committing.
How can you access OpenCorporates and QuantRocket?
Both OpenCorporates and QuantRocket prioritize web or desktop access. Investors wanting a mobile-first workflow may need to rely on responsive web views.
What unique strengths set the two platforms apart?
OpenCorporates differentiates itself with 230M+ company records spanning 145+ jurisdictions, aggregated from 140+ official registries with full provenance and source links., Versioned REST API with JSON (default) or XML output; API keys required. Free tier provides up to 200 requests per month (50 per day)., and OpenRefine Reconciliation API allows entity-matching from company names to legal identifiers., whereas QuantRocket stands out for Includes survivorship-bias-free US minute-bar data (from 2007 onward) for Zipline backtests and live trading, with optional real-time feeds from brokers like IBKR and Alpaca., Supports point-in-time screening and ranking pipelines, and integrates with Alphalens and Pyfolio for in-notebook analysis inside Jupyter., and Global coverage through Interactive Brokers’ historical and real-time data across 60+ exchanges, plus optional feeds like EDI global EOD, Sharadar fundamentals, and Brain sentiment datasets..
Curation & Accuracy
This directory blends AI‑assisted discovery with human curation. Entries are reviewed, edited, and organized with the goal of expanding coverage and sharpening quality over time. Your feedback helps steer improvements (because no single human can capture everything all at once).
Details change. Pricing, features, and availability may be incomplete or out of date. Treat listings as a starting point and verify on the provider’s site before making decisions. If you spot an error or a gap, send a quick note and I’ll adjust.