# EquiLibre

**Canonical:** https://apis.io/providers/equilibre/  
**Website:** https://equilibre.ai/  
**APIs profiled:** 0

EquiLibre Technologies is a Prague-based frontier AI trading research lab building self-learning reinforcement-learning agents that trade equities autonomously across the S&P 500 and Nasdaq. Founded by ex-DeepMind researchers Martin Schmid, Matej Moravcik, and Rudolf Kadlec — the trio behind the DeepStack poker AI — the company applies the same game-solving and continual-learning techniques to financial markets, with its agents trading billions of dollars daily in partnership with quantitative firm Tower Research Capital. In 2026 EquiLibre raised a Series A led by Creandum at a reported ~EUR 438M / $500M+ valuation. It operates as a proprietary trading and research lab and does not currently publish a public developer API, SDKs, or developer documentation; this profile tracks the company in the API Evangelist network.

## Kin Score — 1.2 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 1.2).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

Regulatory layer — **Securities & Market Data**: 10.0 (matched via tags).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Equilibre Domain Security** — TLSv1.2

## Tags

Company, Artificial Intelligence, Machine-Learning, Reinforcement Learning, Algorithmic Trading, Financial-Services, Quantitative Finance, Research Lab

---

Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/equilibre/). Scores are computed from the provider's own public artifacts under a published rubric.