EquiLibre

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.

EquiLibre is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine-Learning, Reinforcement Learning, and Algorithmic Trading.

🌐 Visit website 📡 Source on GitHub

1.2/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-08-21 · rubric v0.12.0

0 APIs

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

Kin Score

Kin Score How this is scored →
scored 2026-08-21 · rubric v0.12.0

Composite quality — 1.2/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.0 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.3 / 9

Regulatory Posture 1.5 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Regulatory Posture applies to this provider. Its tags matched the Securities & Market Data regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/equilibre: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Company 3

The organization behind the API

Website

Website

LinkedIn

Careers

Careers

Source (apis.yml)

aid: equilibre
name: EquiLibre
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/equilibre/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- creandum
x-tier: stub
x-tier-reason: portfolio-lead
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
image: https://equilibre.ai/images/favicon.png
tags:
- Company
- Artificial Intelligence
- Machine-Learning
- Reinforcement Learning
- Algorithmic Trading
- Financial-Services
- Quantitative Finance
- Research Lab
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Reinforcement Learning
- Algorithmic Trading
- Financial Services
- Quantitative Finance
- Research Lab
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/equilibre-domain-security.yml
- type: Website
  url: https://equilibre.ai/
- type: LinkedIn
  url: https://www.linkedin.com/company/equilibre-technologies
- type: Careers
  url: https://equilibre.ai/hiring
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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