Parallel Domain

Parallel Domain is a synthetic-data and sensor-simulation platform for physical-AI and autonomy developers. It turns real-world drive and flight logs into photorealistic, simulation-ready digital replicas (PD Replica) and generates deterministic camera, lidar, and radar sensor data at scale (PD Sim), plus self-serve synthetic-data generation through its Data Lab service. The platform is driven through a first-party Python SDK (paralleldomain / pd-sdk) and an app console, integrating with existing autonomy stacks and CI/CD for training, testing, and regulatory validation of perception systems across automotive, trucking, drone, robotics, agriculture, and defense.

Parallel Domain is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Synthetic Data, Simulation, and Autonomous Vehicles.

Parallel Domain’s developer surface includes documentation, API reference, getting-started guide, engineering blog, support, signup flow, authentication, and 13 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

27.1/100 thin ▬ flat Agent 3/100 human only Front door AI 3/6 light Heartbeat 61/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs

Company Artificial Intelligence Synthetic Data Simulation Autonomous Vehicles Computer Vision Machine Learning Robotics SDK

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 27.1/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 10.9 / 17

Access Clarity 5.8 / 17

Operational Transparency 1.2 / 11

Contract Governance 0.0 / 10

Discoverability 4.7 / 9

Regulatory Posture 2.7 / 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

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) 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/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0

12 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Access Clarity scores 34.2 — up to +13.2 composite points
Contract Governance scores 0.0 — up to +12.0 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

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 the provider profile at artifacts.apis.io/parallel-domain/apis.yml: open an issue on github.com/api-evangelist/parallel-domain to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Autonomous Vehicles (self-driving testing, deployment, robotaxi service)	undeclared	-	-	-
ONVIF Video Analytics (video surveillance, edge cameras, computer vision)	undeclared	-	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Parallel Domain API pricing

Pricing Plans 1

Published pricing tiers and plan structures.

Parallel Domain Plans Pricing

0 plans

PLANS

Security Posture 2

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

Parallel Domain Authentication

apiKey · 3 schemes

SECURITY

Parallel Domain Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Login

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

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 2

Status, limits, changes, and where to get help

StatusPage

StatusPage

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

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: parallel-domain
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
  probe_state: unreadable
  source:
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/parallel-domain.png
name: Parallel Domain
description: Parallel Domain is a synthetic-data and sensor-simulation platform for physical-AI and autonomy developers. It
  turns real-world drive and flight logs into photorealistic, simulation-ready digital replicas (PD Replica) and generates
  deterministic camera, lidar, and radar sensor data at scale (PD Sim), plus self-serve synthetic-data generation through
  its Data Lab service. The platform is driven through a first-party Python SDK (paralleldomain / pd-sdk) and an app console,
  integrating with existing autonomy stacks and CI/CD for training, testing, and regulatory validation of perception systems
  across automotive, trucking, drone, robotics, agriculture, and defense.
url: https://raw.githubusercontent.com/api-evangelist/parallel-domain/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- foundry-group
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-20 (local-v5; was portfolio-lead)
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-20'
tags:
- Company
- Artificial Intelligence
- Synthetic Data
- Simulation
- Autonomous Vehicles
- Computer Vision
- Machine Learning
- Robotics
- SDK
tags_raw:
- Company
- Ai
- Synthetic Data
- Simulation
- Autonomous Vehicles
- Computer Vision
- Machine Learning
- Robotics
- SDK
- Computer-Vision
- Machine-Learning
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Hosts
  url: hosts/parallel-domain-hosts.yml
- type: Vendors
  url: vendors/parallel-domain-vendors.yml
- type: StatusPage
  url: https://status.paralleldomain.com/
- type: Website
  url: https://paralleldomain.com
- type: DeveloperPortal
  url: https://parallel-domain.github.io/pd-sdk/
- type: Documentation
  url: https://parallel-domain.github.io/pd-sdk/
- type: APIReference
  url: https://parallel-domain.github.io/pd-sdk/paralleldomain/__index.html
- type: GettingStarted
  url: https://parallel-domain.github.io/pd-sdk/getting_started.html
- type: GitHubOrganization
  url: https://github.com/parallel-domain
- type: Blog
  url: https://paralleldomain.com/resources
- type: Support
  url: https://paralleldomain.com/faq
- type: SignUp
  url: https://app.paralleldomain.com/auth/login
- type: Login
  url: https://app.paralleldomain.com/auth/login
- type: TermsOfService
  url: https://paralleldomain.com/terms-of-use
- type: PrivacyPolicy
  url: https://paralleldomain.com/privacy-policy
- type: Packages
  url: packages/parallel-domain-packages.yml
- type: SDKs
  url: packages/parallel-domain-packages.yml
- type: Authentication
  url: authentication/parallel-domain-authentication.yml
- type: WellKnown
  url: well-known/parallel-domain-well-known.yml
- type: DomainSecurity
  url: security/parallel-domain-domain-security.yml
apis: []
x-enrichment:
  date: '2026-10-20'
  status: minimal
  artifacts_added: 3
  pass: local-v5
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: Parallel Domain exposes its platform only through a Python SDK whose hosted docs (v1.0.4) remain live while the
    pd-sdk source repo now 404s, and no OpenAPI, GraphQL or MCP contract is served on paralleldomain.com, app.paralleldomain.com
    or status.paralleldomain.com.
  evidence:
  - url: https://parallel-domain.github.io/pd-sdk/
    status: 200
  - url: https://github.com/parallel-domain/pd-sdk
    status: 404
  - url: https://paralleldomain.com/llms.txt
    status: 404
  checked: '2026-10-20'

Parallel Domain API — frequently asked questions

How do I authenticate with the Parallel Domain API?

Parallel Domain uses bearer-token authentication (apiKey · 3 schemes). The details are profiled on APIs.io as Parallel Domain Authentication.

Is the Parallel Domain API ready for AI agents?

Parallel Domain has a Kin Score of 27.1 out of 100 (thin) and an Agent Readiness score of 2.5 (human-only), scored by API Evangelist on 2026-11-06.

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How their score was established

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