Build with HPSILab. Grow Together.
Bring quantitative finance intelligence to your AI agent, MCP client, trading platform, fintech product or developer ecosystem.
Integrate once. Create value for your users. Earn as usage grows.
Value
One quant engine. Multiple ways to partner.
Add quantitative finance to your product.
Embed stock, ETF, options, risk and quantitative analysis through MCP, REST API or SDK — with no quant backend of your own.
Explore integration →Create recurring revenue from usage.
When users attributed to your integration or referral generate eligible HPSILab revenue, your partner account earns according to your program terms.
View partner models →Launch and grow together.
Selected partners get a joint launch, an integration showcase, technical support and co-marketing across HPSILab channels.
Become a partner →Who it is for
Who should partner with HPSILab?
AI Agents
Give your agent stocks, options, volatility, risk and research capability without building a quant backend.
Agent → HPSILab MCP → Quant Intelligence
MCP Clients & Platforms
Ship HPSILab as your finance and quant MCP so users get callable market tools on day one.
MCP Client → HPSILab → 9 Quant Tools
Fintech Apps
Add market research and analytics to your product without standing up your own quant infrastructure.
App → REST API → Analytics
Trading & Research Platforms
Embed analysis, simulation, risk scans and research reports directly into an existing workflow.
Workflow → HPSILab Tools → Report
LLM & Agent Infrastructure
Offer models and agents structured, machine-consumable financial tools instead of scraped text.
Router / Runtime → HPSILab → Structured JSON
Developer Platforms
Make the HPSILab API and MCP available to the developer ecosystem you already serve.
Platform → SDK / API → Developers
Market Data Providers
Combine raw market data with an analytics layer to move up the value chain.
Data → HPSILab Analytics → Product
Models
Four ways to work with HPSILab.
Pick the one that matches how you reach users. The model can change later as the integration deepens.
Integration Partner
Embed HPSILab in your product and earn as your users consume HPSILab services.
Apply as this partner type →Referral Partner
Introduce HPSILab to your audience and get credited for the customers you bring.
Apply as this partner type →Technology Partner
Technical interoperability, joint launches, marketplace listings or credits sponsorship — a cash share is optional.
Apply as this partner type →Strategic Partner
Deep integration, white-label, API bundling, MCP distribution or enterprise licensing.
Apply as this partner type →Process
How it works
Apply
Tell HPSILab what you are building, who your users are and how you want to work together.
Integrate
Connect through MCP, REST API or SDK. Most integrations start with a single config block.
Launch
Get a partner ID and attribution, then launch together with co-marketing support.
Earn
Earn a share of the eligible revenue attributable to your integration or referrals.
Integration
Integration takes minutes, not weeks.
Nine quant tools — stock analysis, AI prediction, IV radar, options pressure, Monte Carlo, equity curves, pre-trade risk scans and research reports — reachable the same way from an agent or a backend.
{
"mcpServers": {
"hpsilab": {
"url": "https://hpsilab.com/mcp"
}
}
}FAQ
Before you apply
Who can become a HPSILab Partner?
AI agents, MCP clients, fintech and SaaS products, trading and research platforms, developer tools, data providers, creators and communities.
Does it cost anything to join?
No. Applying to the HPSILab Partner Network is free.
How does revenue sharing work?
Eligible, attributable HPSILab revenue generated by your integration or referrals is shared according to your partner type and agreement.
Can I integrate HPSILab into my own product?
Yes. Integration Partners can use MCP, the REST API and the Python or TypeScript SDK.
What does an Integration Partner get when approved?
An API key and 1,000 Partner Integration Credits, valid for 30 days, to build and test your integration over MCP, the REST API or the SDKs. They go to the HPSILab account for your application email - if you do not have one, it is created when you are approved - and the approval email gives you your username and a one-click link to set your password. The Credits are given once per account, however many applications it makes.
Can AI agents pay per call?
Yes. Supported agents can pay per call through x402, without a human signing up first.
Do all partners receive the same terms?
No. Referral, Integration, Technology and Strategic partnerships use different commercial terms.
When are commissions paid?
Settlement cycle, minimum payout, refunds and dispute handling are defined in the partner agreement before any commission is owed.
Can HPSILab feature our integration?
Yes — selected integration and technology partners are featured on this page, in joint launches and across HPSILab channels.
Apply
Become a HPSILab Partner
Tell us what you are building. Every application is read by the HPSILab team.
Our partners
Live in production today.
Products that run on, or alongside, HPSILab's quant engine.
Technology Partner · July 2026Real-time crypto-derivatives intelligence
Cayø Largo, from Halcyon Waters, tracks options flow and pricing across crypto markets in real time — computing a full Greeks surface and refreshing continuously so traders and models always work from a current picture.
- Crypto-derivatives analytics alongside HPSILab's equity and options intelligence, in one quant research workflow.
- Co-branded distribution across both platforms, so shared users discover each other's tools.
- An MCP connector in progress to make Cayø Largo's crypto options intelligence directly usable by AI agents.
Partner directory
Approved partners, by partnership type.
Technology Partner2
Infrastructure · OSS · API platform
halcyonwaters.com
m2msentinel.com
Your product could be next.
Selected integration and technology partners are featured here and across HPSILab channels.
Growing the network
HPSILab is looking for partners who share the same thesis: market data and analytics should be ready for the agents that now run alongside human researchers.