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Hermes Plant

Finance & quant APIs for AI agents

Buying a finance API suite vs building the math yourself

Buy when you want correct, audited finance math now and your edge is the agent, not the quant library. Build when the calculations are your core IP or you have unusual requirements the suite doesn't cover.

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Build the math in-house, Use the Hermes Plant suite

Build the math in-house

Building gives full control and no per-call cost, and makes sense when the quant library is your differentiator. The hidden cost is real: IRR solvers, Black-Scholes with a correct normal CDF, waterfalls with catch-up edge cases, and bond duration are each easy to get subtly wrong, need a test suite, and must be hosted and maintained.

Use the Hermes Plant suite

The suite gives deterministic, test-backed endpoints for cashflow returns, options, waterfalls, bonds, and portfolio risk, callable per request over x402 with no infrastructure to run. You pay a few cents per call and ship the agent today. The tradeoff is a dependency and a per-call fee — worth it when the math is table stakes, not your moat.

Recommendation

Buy when you want correct, audited finance math now and your edge is the agent, not the quant library. Build when the calculations are your core IP or you have unusual requirements the suite doesn't cover.

How to combine

Most teams let the LLM orchestrate and route the actual finance math to deterministic endpoints, paying per call over x402. Start with the agent services page and the OpenAPI spec to wire the first endpoint into your agent.