TrainMyAI

TrainMyAI provides a complete solution for building Retrieval Augmented Generation (RAG) AI chatbots. It offers customizable AI chatbot deployment on-premise or cloud, with integrations for WhatsApp, web, and private APIs. Features include fine-grained user management, usage history, and secure private data handling. The platform supports multiple language models and offers extensive documentation and API access for developers.

TrainMyAI is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Chatbots, RAG, and Platform.

TrainMyAI’s developer surface includes documentation, API reference, and 9 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

10.6/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

1 API

Company Artificial Intelligence Chatbots RAG Platform

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 10.6/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 2.8 / 17

Access Clarity 3.2 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.7 / 9

Regulatory Posture 0.5 / 15

Agent readiness — 0/100 · 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 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 AI & Biometrics 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 Ask about this →
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
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) Ask about this →
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) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →

13 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 Ask about this →
Developer Ergonomics scores 16.7 — up to +16.7 composite points Ask about this →
Access Clarity scores 19.1 — up to +16.2 composite points Ask about this →

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.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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/trainmy/apis.yml: open an issue on github.com/api-evangelist/trainmy 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.

TrainMyAI API

API integration page providing developer information.

Terms of Service 1

What its API terms permit and prohibit, quoted from its own page.

TrainMyAI

10 quoted statements, read from TrainMyAI's own page on 2026-11-10.

TERMS

Eligibility 1

Who may sign up and where, quoted from its own terms.

TrainMyAI

5 quoted statements, read from TrainMyAI's own page on 2026-11-10.

ELIGIBILITY

AI Preferences 1

Its stance on AI training, inference and agents, quoted from its own pages.

TrainMyAI

1 quoted statement, read from TrainMyAI's own page on 2026-11-10.

AI PREFS

Data License 1

How its data and outputs may be reused, quoted from its own terms.

TrainMyAI

1 quoted statement, read from TrainMyAI's own page on 2026-11-10.

LICENSE

Security Posture 1

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

TrainMyAI Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Documentation 3

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

AIPreferences

AIPreferences

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 3

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

UsageTerms

UsageTerms

DataLicense

DataLicense

Company 1

The organization behind the API

Website

Website

Other 3

Properties that don't map to a standard resource type

Hosts

Hosts

Leadership

Leadership

Eligibility

Eligibility

Source (apis.yml)

aid: trainmy
name: TrainMyAI
description: TrainMyAI provides a complete solution for building Retrieval Augmented Generation (RAG) AI chatbots. It offers
  customizable AI chatbot deployment on-premise or cloud, with integrations for WhatsApp, web, and private APIs. Features
  include fine-grained user management, usage history, and secure private data handling. The platform supports multiple language
  models and offers extensive documentation and API access for developers.
url: https://raw.githubusercontent.com/api-evangelist/trainmy/refs/heads/main/apis.yml
x-type: company
x-source: harvest:g2-catalog
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-19 (modular-v1; was harvest)
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  probe_state: unreadable
  source:
  - security
  generated: '2026-11-13'
  method: derived
specificationVersion: '0.20'
created: '2026-10-19'
modified: '2026-10-19'
tags:
- Company
- Artificial Intelligence
- Chatbots
- RAG
- Platform
tags_raw:
- Company
- AI
- Chatbot
- RAG
- Platform
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Hosts
  url: hosts/trainmy-hosts.yml
- type: Leadership
  url: https://trainmy.ai/management/
- type: DomainSecurity
  url: security/trainmy-domain-security.yml
- type: Website
  url: https://trainmy.ai/
- type: Documentation
  url: https://trainmy.ai/docs/
- type: APIReference
  url: https://trainmy.ai/api/
- type: TermsOfService
  url: https://trainmy.ai/terms-of-use/
- type: UsageTerms
  url: terms/trainmy-terms-of-service.yml
- type: Eligibility
  url: eligibility/trainmy-eligibility.yml
- type: AIPreferences
  url: ai-preferences/trainmy-ai-preferences.yml
- type: DataLicense
  url: data-license/trainmy-data-license.yml
apis:
- name: TrainMyAI API
  description: API integration page providing developer information.
  humanURL: https://trainmy.ai/api/
  baseURL: null
  aid: trainmy:trainmyai-api
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: API reference page returns HTML with no OpenAPI or other machine-readable contract.
  evidence:
  - url: https://trainmy.ai/api/
    status: 200
  checked: '2026-10-19'
x-enrichment:
  date: '2026-10-19'
  status: enriched
  artifacts_added: 10
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

TrainMyAI API — frequently asked questions

Does TrainMyAI have an API?

Yes. APIs.io lists 1 API from TrainMyAI, including TrainMyAI API.

Is the TrainMyAI API ready for AI agents?

TrainMyAI has a Kin Score of 10.6 out of 100 (minimal) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-13.

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get_provider_artifactsEvery artifact this provider publishes, grouped by type.
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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.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
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