Simudyne

Simudyne is a London-based enterprise simulation software company that builds AI-powered, agent-based (multi-agent) simulation technology for financial services and other industries. Its platform spans Simudyne Horizon (automated model discovery, calibration, and validation), Simudyne Pulse (multi-agent market simulation), and Simudyne Nexus (reasoning environments for training and optimization). Its developer-facing product, Pulse, is a synthetic market data platform exposing a REST API and a Python SDK that deliver tick-level L1/L2 synthetic order book data, order events, and trades at millisecond resolution for backtesting, algo development, market-impact studies, pre-trade TCA, and ML/reinforcement-learning training. Simudyne also maintains classic Java/Scala agent-based modeling SDK starter projects and runs on Google Cloud, AWS, Oracle, Red Hat, and NVIDIA infrastructure.

Simudyne publishes 1 API on the APIs.io network. Tagged areas include Company, Simulation, Agent-Based Modeling, Synthetic Data, and Market Data.

Simudyne’s developer surface includes documentation, getting-started guide, signup flow, support, engineering blog, authentication, and 10 more developer resources.

🌐 Visit website 📡 Source on GitHub

25.9/100 emerging ▬ flat Agent 3/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

1 APIs

Company SimulationAgent-Based ModelingSynthetic Data Market Data Financial-Services Machine-Learning Developer SDK

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 25.9/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 9.7 / 17

Access Clarity 5.8 / 17

Operational Transparency 0.3 / 11

Contract Governance 0.0 / 10

Discoverability 6.5 / 9

Regulatory Posture 5.0 / 15

Agent readiness — 3/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 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

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

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.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

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/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/simudyne: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Simudyne Pulse Synthetic Market Data API

REST API and Python SDK for tick-level synthetic market data — L1 quotes, L2 order book depth, trades, and individual order events at millisecond resolution, returned as Polars ...

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Simudyne Authentication

apiKey · 1 scheme

SECURITY

Simudyne Domain Security

TLSv1.3

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conventions

Conventions

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: simudyne
name: Simudyne
description: Simudyne is a London-based enterprise simulation software company that builds AI-powered, agent-based (multi-agent)
  simulation technology for financial services and other industries. Its platform spans Simudyne Horizon (automated model
  discovery, calibration, and validation), Simudyne Pulse (multi-agent market simulation), and Simudyne Nexus (reasoning environments
  for training and optimization). Its developer-facing product, Pulse, is a synthetic market data platform exposing a REST
  API and a Python SDK that deliver tick-level L1/L2 synthetic order book data, order events, and trades at millisecond resolution
  for backtesting, algo development, market-impact studies, pre-trade TCA, and ML/reinforcement-learning training. Simudyne
  also maintains classic Java/Scala agent-based modeling SDK starter projects and runs on Google Cloud, AWS, Oracle, Red Hat,
  and NVIDIA infrastructure.
url: https://raw.githubusercontent.com/api-evangelist/simudyne/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- techstars
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-09-03'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
image: https://simudyne.com/
tags:
- Company
- Simulation
- Agent-Based Modeling
- Synthetic Data
- Market Data
- Financial-Services
- Machine-Learning
- Developer SDK
tags_raw:
- Company
- Simulation
- Agent-Based Modeling
- Synthetic Data
- Market Data
- Financial Services
- Machine Learning
- Developer SDK
apis:
- name: Simudyne Pulse Synthetic Market Data API
  description: REST API and Python SDK for tick-level synthetic market data — L1 quotes, L2 order book depth, trades, and
    individual order events at millisecond resolution, returned as Polars DataFrames. Free tier available; API-key authentication
    (pk_live_ prefix).
  humanURL: https://pulse.simudyne.com/docs
  baseURL: https://pulse.simudyne.com
  tags:
  - Market Data
  - Synthetic Data
  - Order Book
  - Financial-Services
  tags_raw:
  - Market Data
  - Synthetic Data
  - Order Book
  - Financial Services
  properties:
  - type: Documentation
    url: https://pulse.simudyne.com/docs
  - type: Authentication
    url: authentication/simudyne-authentication.yml
  - type: Conventions
    url: conventions/simudyne-conventions.yml
  - type: SignUp
    url: https://pulse.simudyne.com/auth/signin
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://simudyne.com/
- type: DeveloperPortal
  url: https://pulse.simudyne.com/
- type: Documentation
  url: https://pulse.simudyne.com/docs
- type: GettingStarted
  url: https://pulse.simudyne.com/docs
- type: SignUp
  url: https://pulse.simudyne.com/auth/signin
- type: Support
  url: mailto:support@simudyne.com
- type: Blog
  url: https://simudyne.com/resources/resource-type/blog/
- type: GitHubOrganization
  url: https://github.com/simudyne
- type: TermsOfService
  url: https://simudyne.com/terms/
- type: PrivacyPolicy
  url: https://simudyne.com/privacy/
- type: Packages
  url: packages/simudyne-packages.yml
- type: SDKs
  url: packages/simudyne-packages.yml
- type: Authentication
  url: authentication/simudyne-authentication.yml
- type: Conventions
  url: conventions/simudyne-conventions.yml
- type: LLMsTxt
  url: llms/simudyne-llms.txt
- type: DomainSecurity
  url: security/simudyne-domain-security.yml
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 6
  pass: local-v1

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