SiftingIO VS YieldStack

SiftingIO's answer

SiftingIO does not publicly list customer names unless they are approved for disclosure.

The platform is designed for financial applications, trading tools, dashboards, research platforms, quantitative teams, fintech companies, and enterprise data workflows that need real-time or historical market data through APIs.

YieldStack's answer:

The largest CRE Lenders in the USA

SiftingIO's answer

SiftingIO is built on a modern API and data infrastructure for real-time and historical market data delivery.

The platform uses technologies and engineering patterns around:

• REST APIs for snapshots, historical data, and reference data
• WebSocket streams for live market data updates
• Cloud infrastructure for scalable API delivery
• Multi-region architecture for reliability
• API authentication and scoped access control
• Market data normalization and schema design
• Data aggregation and de-duplication pipelines
• Historical time-series storage and retrieval
• SDKs and developer tooling for integration workflows

The focus is on building a reliable data infrastructure that can serve financial applications, dashboards, trading tools, research systems, and enterprise workflows.

YieldStack's answer:

AI integrations supporting the platform’s workflows.

SiftingIO's answer

SiftingIO is built around a simple idea: market data should be easier to integrate, but not simplified to the point where it becomes unreliable.

The platform combines real-time and historical data across multiple asset classes under one API structure. Teams can work with stocks, FX, crypto, commodities, DEX, and on-chain markets without maintaining separate schemas, authentication models, and integration logic for each source.

What makes SiftingIO different is the engineering layer behind the API:

• Unified JSON schemas across supported asset classes
• REST and WebSocket access from the same product family
• Multi-venue aggregation and normalization
• Historical and real-time workflows in one platform
• API design focused on consistency, versioning, and maintainability

This makes SiftingIO useful for teams that care not only about accessing data, but also about keeping their data infrastructure clean and scalable.

YieldStack's answer:

YieldStack combines AI-assisted lender matching with hands-on commercial mortgage brokerage. Borrowers submit once, compare financing options, and work with a team that handles structuring, negotiation, and closing coordination. Borrowers approve lender outreach, with no upfront fees and a broker fee paid only at closing.

SiftingIO's answer

SiftingIO is a strong choice for teams that need market data across more than one asset class and want to avoid maintaining multiple vendor integrations.

Many financial applications start with one market, then expand into others. A team may begin with FX or crypto, then later need stocks, commodities, DEX data, or on-chain metrics. SiftingIO is designed for that kind of growth.

Key reasons to choose SiftingIO:

• One API structure across supported markets
• Real-time and historical data workflows
• REST snapshots and WebSocket streams
• Unified schemas that reduce integration complexity
• Multi-venue aggregated and normalized data
• Developer resources including documentation, SDKs, and Postman examples
• Enterprise-ready options such as SLA-backed plans, DPA, invoicing, and dedicated support

The main value is not only data access. It is reducing the engineering cost of using market data across financial products.

YieldStack's answer:

YieldStack helps borrowers evaluate the whole financing offer: rate, leverage, fees, reserves, prepayment terms, and closing requirements. Its platform organizes the process, while its brokerage team helps borrowers find suitable lenders and move the deal forward. One submission gives borrowers a coordinated financing process without an upfront brokerage fee.

SiftingIO's answer

SiftingIO is built for technical and data-driven teams working with financial market data.

The primary audience includes:

• Developers building financial applications
• Fintech teams integrating market data into products
• Trading tool providers
• Dashboard and analytics platforms
• Quantitative research teams
• Backtesting and data science workflows
• Enterprise data teams that need API-based market data delivery

SiftingIO is especially useful for teams that need both real-time and historical data, or teams that work across multiple asset classes and want a consistent API model instead of separate vendor-specific integrations.

YieldStack's answer:

Commercial real estate investors, developers, operators, and mortgage brokers seeking bridge, DSCR, fix-and-flip, construction, multifamily, and permanent financing across the United States.

SiftingIO's answer

SiftingIO was created from hands-on experience building and operating financial data infrastructure.

Market data integrations often become more complex as products grow. Each asset class can come with different data formats, different delivery methods, different authentication models, and different assumptions about symbols, timestamps, quotes, trades, and history.

SiftingIO was built to reduce that complexity.

The goal is to provide a consistent market data API that helps teams access real-time and historical data across multiple asset classes without rebuilding their integration every time they add a new market.

The product reflects an engineering-first approach: clean API design, unified schemas, REST and WebSocket support, multi-venue aggregation, and infrastructure that can support production financial workflows.

YieldStack's answer:

Rommin Adl and Daniel Chesney founded YieldStack to simplify commercial real estate financing. The platform brings deal preparation, lender matching, offer comparison, and closing coordination into one workflow, combining AI-assisted analysis with human brokerage expertise.