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Antimatter Systems website screenshot

Antimatter Systems

Antimatter Systems is an education technology company building a peer-to-peer learning network where students demonstrate mastery by making memes, puzzles, and games rather than by writing essays or sitting tests. Founded by Jonathan Libov, the company raised a $2M seed round led by Version One Ventures in 2023, joined by Spacecadet, Ordinary Holdings, Haystack and Compound. Its classroom product lets teachers create meme-based activities with deadlines and instructions, invite students by shareable link, moderate submissions, restrict learners to view-only, work from a library of pre-approved templates, catch unedited-image uploads with plagiarism detection, and grade every submission in one place; the company states it should be free for schools. Antimatter also ships a Sorcerer AI instructional coach plus the consumer Antimatter: Creator and Antimatter: Universe iOS apps. The platform runs on the web at playantimatter.com. As of July 2026 the company publishes no public API, developer portal, SDKs, or machine-readable API specifications.

human only

Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.

Kin Score

API Evangelist profiles Antimatter Systems the way a machine reads it — 1 machine-readable artifact, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Antimatter Systems scores 13.0/100 (minimal), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 13.0/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.9 / 20
Commercial Clarity 4.7 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
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

How we profile Antimatter Systems

Each block below is one kind of artifact we hold for Antimatter Systems. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

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

Antimatter Systems Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Every other property we hold for Antimatter Systems — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

Get Started 1

Portal, sign-up, and the first successful call

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Learn 1

Tutorials, courses, talks, and written guidance

Operate 1

Status, limits, changes, and where to get help

Commercial 1

Pricing, plans, and the legal terms of use

Company 3

The organization behind the API

Other 3

Properties that don't map to a standard resource type

← All providers · Data indexed from github.com/api-evangelist/antimatter-systems · machine-readable index on apis.io