tokenos-ai

TokenOS is an AI‑powered operating system for building, deploying and launching Web3 applications. It lets developers describe an app in plain language and generates full‑stack Solana and EVM dApps, handling smart‑contract compilation, wallet integration, and deployment to multiple chains. The platform includes a marketplace for AI agents, a P2P AI inference market, and tools for token launches, NFTs, DAOs, and more, all without custodial control of private keys.

tokenos-ai is listed with 1 API on the APIs.io network. Tagged areas include AI, Web3, Platform, Tokenization, and Decentralized.

tokenos-ai’s developer surface includes changelog, getting-started guide, API reference, documentation, pricing, engineering blog, and 12 more developer resources.

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30.2/100 thin Agent 6/100 agent aware Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →

1 API 1 MCP Servers

AIWeb3 Platform Tokenization Decentralized

Kin Score

Kin Score How this is scored →
scored 2026-10-31 · rubric v0.25.0

Composite quality — 30.2/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 6.9 / 17

Access Clarity 10.7 / 17

Operational Transparency 1.7 / 11

Contract Governance 0.5 / 10

Discoverability 5.5 / 9

Regulatory Posture 2.6 / 15

Agent readiness — 6/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 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 4 / 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

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
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
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)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes

11 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
Developer Ergonomics scores 40.5 — up to +11.9 composite points
Contract Governance scores 4.5 — up to +11.5 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/tokenos-ai/apis.yml: open an issue on github.com/api-evangelist/tokenos-ai 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 →

APIs 1

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

TokenOS API

Full public API for TokenOS platform, curated agent surface.

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

tokenos-ai MCP Server

Remote MCP server at tokenos.ai.

MCP SERVER

Pricing Plans 1

Published pricing tiers and plan structures.

Tokenos Ai Plans Pricing

4 plans

PLANS

Security Posture 1

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

Tokenos Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

DeveloperPortal

DeveloperPortal

Documentation 2

Reference material describing how the API behaves

APIReference

APIReference

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

MCPServer

MCPServer

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

ChangeLog

ChangeLog

ChangeLog

ChangeLog

Commercial 4

Pricing, plans, and the legal terms of use

Plans

TermsOfService

PrivacyPolicy

Pricing

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: tokenos-ai
name: tokenos-ai
image: https://tokenos.ai/og_tokenos.png
description: TokenOS is an AI‑powered operating system for building, deploying and launching Web3 applications. It lets developers
  describe an app in plain language and generates full‑stack Solana and EVM dApps, handling smart‑contract compilation, wallet
  integration, and deployment to multiple chains. The platform includes a marketplace for AI agents, a P2P AI inference market,
  and tools for token launches, NFTs, DAOs, and more, all without custodial control of private keys.
url: https://artifacts.apis.io/tokenos-ai/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-29 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-29'
modified: '2026-10-29'
tags:
- AI
- Web3
- Platform
- Tokenization
- Decentralized
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/tokenos-ai-plans-pricing.yml
- type: ChangeLog
  url: changelog/tokenos-ai-changelog.yml
- type: Conformance
  url: conformance/tokenos-ai-conformance.yml
- type: LLMsTxt
  url: llms/tokenos-ai-llms.txt
- type: MCPServer
  url: mcp/tokenos-ai-mcp.yml
- type: Hosts
  url: hosts/tokenos-ai-hosts.yml
- type: Vendors
  url: vendors/tokenos-ai-vendors.yml
- type: TermsOfService
  url: https://tokenos.ai/terms
- type: PrivacyPolicy
  url: https://tokenos.ai/privacy
- type: ChangeLog
  url: https://tokenos.ai/docs/whats-new
- type: GettingStarted
  url: https://tokenos.ai/docs/quickstart
- type: APIReference
  url: https://tokenos.ai/llms.txt
- type: DomainSecurity
  url: security/tokenos-ai-domain-security.yml
- type: Website
  url: https://tokenos.ai/
- type: Documentation
  url: https://tokenos.ai/docs
- type: DeveloperPortal
  url: https://tokenos.ai/mcp
- type: Pricing
  url: https://tokenos.ai/pricing
- type: Blog
  url: https://tokenos.ai/blog
apis:
- name: TokenOS API
  description: Full public API for TokenOS platform, curated agent surface.
  humanURL: https://tokenos.ai/docs/api-reference
  baseURL: https://tokenos.ai/api
  aid: tokenos-ai:tokenos-api
x-enrichment:
  date: '2026-10-29'
  status: enriched
  artifacts_added: 16
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

tokenos-ai API — frequently asked questions

Does tokenos-ai have an API?

Yes. APIs.io lists 1 API from tokenos-ai, including TokenOS API.

How much does the tokenos-ai API cost?

APIs.io lists 4 pricing plans for tokenos-ai, with each plan's price, limits and inclusions under Pricing Plans on this page.

Does tokenos-ai have an MCP server?

Yes. APIs.io lists 1 MCP server for tokenos-ai: Remote MCP server at tokenos.ai.

Is the tokenos-ai API ready for AI agents?

tokenos-ai has a Kin Score of 30.2 out of 100 (thin) and an Agent Readiness score of 6.3 (agent-aware), scored by API Evangelist on 2026-10-31.

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