Taito.ai

Taito.ai is an AI-native people operations (HRIS) platform headquartered in Helsinki, Finland, built for teams scaling from roughly 30 to 300 employees. It unifies the employee lifecycle in one system — a people directory, time-off and attendance, documents and eSignatures, and performance reviews — alongside AI "people agents" that handle onboarding, reminders, payroll reporting, and policy questions on demand from Slack, Claude, or any MCP-compatible tool. Every platform action is exposed over the Model Context Protocol rather than a public REST API. Pricing is a single per-seat tier covering both the people-ops and performance modules. The company is ISO 27001 certified and GDPR compliant, publishing audit reports on a Vanta-hosted Trust Center, and raised a $2.7M seed round led by Accel.

Taito.ai is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Human Resources, People Operations, and HRIS.

Taito.ai’s developer surface includes pricing, engineering blog, and 11 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

18.5/100 emerging ▬ flat Agent 4/100 human only Front door AI 5/6 prominent Heartbeat 85/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

0 APIs 1 MCP Servers

Company Artificial Intelligence Human Resources People Operations HRIS Performance Management Employee Experience AI Agents MCP Software-as-a-Service GDPR ISO 27001

Kin Score

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

Composite quality — 18.5/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 0.4 / 17

Access Clarity 8.9 / 17

Operational Transparency 0.0 / 11

Contract Governance 1.9 / 10

Discoverability 4.7 / 9

Regulatory Posture 2.6 / 15

Agent readiness — 4/100 · human only

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 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 Employment & Payroll 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)
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
Developer Ergonomics scores 2.4 — up to +19.5 composite points
Operational Transparency scores 0.0 — up to +13.0 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/taitoai/apis.yml: open an issue on github.com/api-evangelist/taitoai 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 →

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

MCP Servers 1

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

Taito.ai MCP Server

MCP SERVER

Taito.ai API pricing

Prices published by Taito.ai, read 2026-10-07 from taito.ai/pricing.

Plan	Price
Annual	€8/ seat/ month Includes: Everything included: People directory, time-off and attendance, docs and eSign, pre-payroll reportin
Monthly	€10/ seat/ month Includes: Everything included

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Taitoai Plans Pricing

2 plans

PLANS

Security Posture 2

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

Taitoai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Taitoai Trust Center

ISO 27001

SECURITY

Resources

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Access & Security 3

Authentication, authorization, and security posture

TrustCenter

TrustCenter

Compliance

Compliance

DomainSecurity

DomainSecurity

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 3

The organization behind the API

Website

Website

Blog

Blog

About

About

Source (apis.yml)

aid: taitoai
name: Taito.ai
description: Taito.ai is an AI-native people operations (HRIS) platform headquartered in Helsinki, Finland, built for teams
  scaling from roughly 30 to 300 employees. It unifies the employee lifecycle in one system — a people directory, time-off
  and attendance, documents and eSignatures, and performance reviews — alongside AI "people agents" that handle onboarding,
  reminders, payroll reporting, and policy questions on demand from Slack, Claude, or any MCP-compatible tool. Every platform
  action is exposed over the Model Context Protocol rather than a public REST API. Pricing is a single per-seat tier covering
  both the people-ops and performance modules. The company is ISO 27001 certified and GDPR compliant, publishing audit reports
  on a Vanta-hosted Trust Center, and raised a $2.7M seed round led by Accel.
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: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
image: https://taito.ai/og-default.jpg
url: https://raw.githubusercontent.com/api-evangelist/taitoai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- accel
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Artificial Intelligence
- Human Resources
- People Operations
- HRIS
- Performance Management
- Employee Experience
- AI Agents
- MCP
- Software-as-a-Service
- GDPR
- ISO 27001
tags_raw:
- Company
- Ai
- HR
- People Operations
- HRIS
- Performance Management
- Employee Experience
- AI Agents
- MCP
- SaaS
- GDPR
- ISO 27001
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/taitoai-plans-pricing.yml
- type: Website
  url: https://taito.ai/
- type: Pricing
  url: https://taito.ai/pricing
- type: Blog
  url: https://taito.ai/blog
- type: About
  url: https://taito.ai/company
- type: TermsOfService
  url: https://taito.ai/terms
- type: PrivacyPolicy
  url: https://taito.ai/privacy
- type: TrustCenter
  url: https://trust.taito.ai/
- type: Compliance
  url: https://trust.taito.ai/
- type: MCPServer
  url: mcp/taitoai-mcp.yml
- type: Conformance
  url: conformance/taitoai-conformance.yml
- type: DomainSecurity
  url: security/taitoai-domain-security.yml
- type: LLMsTxt
  url: llms/taitoai-llms.txt
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 5
  pass: local-v1

Taito.ai API — frequently asked questions

How much does the Taito.ai API cost?

Taito.ai publishes its prices; its Annual plan is €8/ seat/ month as of 2026-10-07. APIs.io lists 2 pricing plans for Taito.ai, with each plan's price, limits and inclusions under Pricing on this page.

Does Taito.ai have an MCP server?

Yes. APIs.io lists 1 MCP server for Taito.ai.

Is the Taito.ai API ready for AI agents?

Taito.ai has a Kin Score of 18.5 out of 100 (emerging) and an Agent Readiness score of 3.5 (human-only), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

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