Invisible Technologies

Invisible Technologies is an applied AI research company closing the gap between frontier models and the enterprise. It provides platform infrastructure for production AI: unifying fragmented data, mapping complex processes, orchestrating and evaluating agents, and building workflow applications, plus reinforcement learning (RL) environments and expert training data through its Data Lab. Invisible says it has improved models for over 80% of the world's top AI companies. No public developer API, documentation or API reference is published on invisibletech.ai; engagement is via a demo request (Get started).

Invisible Technologies is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, AI Training Data, Reinforcement Learning, and Enterprise AI.

Invisible Technologies’ developer surface includes getting-started guide, engineering blog, YouTube channel, and 14 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

14.3/100 emerging Agent 3/100 human only Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →

0 APIs

Company Artificial Intelligence AI Training Data Reinforcement Learning Enterprise AI Automation AI Agents

Kin Score

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

Composite quality — 14.3/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 2.4 / 17

Access Clarity 4.5 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.9 / 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 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 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

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
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

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
Developer Ergonomics scores 14.3 — up to +17.1 composite points
Access Clarity scores 26.3 — up to +14.7 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/invisibletech-ai/apis.yml: open an issue on github.com/api-evangelist/invisibletech-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 →

Pricing Plans 1

Published pricing tiers and plan structures.

Invisibletech Ai Plans Pricing

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Invisibletech Ai Rate Limits

0 limits

RATE LIMITS

Security Posture 2

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

Invisibletech Ai Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Invisibletech Ai Trust Center

SOC 2, PCI DSS, HIPAA, GDPR

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Access & Security 3

Authentication, authorization, and security posture

Compliance

Compliance

TrustCenter

TrustCenter

DomainSecurity

DomainSecurity

Learn 1

Tutorials, courses, talks, and written guidance

YouTube

YouTube

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Company 6

The organization behind the API

Website

Blog

Newsroom

About

Careers

LinkedIn

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: invisibletech-ai
name: Invisible Technologies
description: 'Invisible Technologies is an applied AI research company closing the gap between frontier models and the enterprise.
  It provides platform infrastructure for production AI: unifying fragmented data, mapping complex processes, orchestrating
  and evaluating agents, and building workflow applications, plus reinforcement learning (RL) environments and expert training
  data through its Data Lab. Invisible says it has improved models for over 80% of the world''s top AI companies. No public
  developer API, documentation or API reference is published on invisibletech.ai; engagement is via a demo request (Get started).'
url: https://artifacts.apis.io/invisibletech-ai/apis.yml
x-type: company
x-source: harvest:direct-request
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-27 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-27'
modified: '2026-10-27'
tags:
- Company
- Artificial Intelligence
- AI Training Data
- Reinforcement Learning
- Enterprise AI
- Automation
- AI Agents
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
image: https://cdn.prod.website-files.com/684704669d08b247ce01fc71/68489a842ed09d05bfbbdb99_Invisible_Generic_Teaser_1200x628.png
common:
- type: Compliance
  url: https://invisibletech.ai/trust
- type: Conformance
  url: conformance/invisibletech-ai-conformance.yml
- type: LLMsTxt
  url: llms/invisibletech-ai-llms.txt
- type: Hosts
  url: hosts/invisibletech-ai-hosts.yml
- type: Vendors
  url: vendors/invisibletech-ai-vendors.yml
- type: TrustCenter
  url: security/invisibletech-ai-trust-center.yml
- type: DomainSecurity
  url: security/invisibletech-ai-domain-security.yml
- type: Website
  url: https://invisibletech.ai/
- type: GettingStarted
  url: https://invisibletech.ai/get-started
- type: Blog
  url: https://invisibletech.ai/blog
- type: Newsroom
  url: https://invisibletech.ai/newsroom
- type: About
  url: https://invisibletech.ai/about
- type: Careers
  url: https://invisibletech.ai/join-us
- type: PrivacyPolicy
  url: https://invisibletech.ai/privacy-policy
- type: LLMsTxt
  url: https://invisibletech.ai/llms.txt
- type: LinkedIn
  url: https://www.linkedin.com/company/invisible-technologies-inc-
- type: YouTube
  url: https://www.youtube.com/@invisibletechnologies
apis: []
x-coverage:
  state: covered
  reason: identity-verified
  detail: Website invisibletech.ai verified by title "Applied AI Research for Enterprise | Invisible Technologies" and llms.txt;
    no docs/API reference/terms page published (/terms-of-service 404).
  evidence:
  - url: https://invisibletech.ai/
    status: 200
  - url: https://invisibletech.ai/llms.txt
    status: 200
  - url: https://invisibletech.ai/terms-of-service
    status: 404
x-enrichment:
  date: '2026-10-27'
  status: enriched
  artifacts_added: 15
  pass: modular-v1
  engine: identity=anthropic,contract=anthropic,surfaces=anthropic,docs=anthropic,regulatory=anthropic

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get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
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