Taizen

Taizen is a managed agentic AI platform for go-to-market teams that automates win/loss analysis, competitive intelligence and sales-asset production. Its agents continuously read recorded sales calls (Gong, Fireflies, tl;dv, Granola, Genesys Cloud), CRM deal data (Salesforce, HubSpot, Attio, Clari), survey and review signal (Typeform, SurveyMonkey, G2) and existing collateral (Google Drive, SharePoint) to detect recurring objections and competitor moves, then auto-generate battlecards, rep-training drills and AI-roleplay scenarios, and deliver them into Slack. Taizen also books and runs AI-led interviews with lost buyers. Its machine surface is not a REST API but an agent surface: a remote, OAuth-protected MCP server at eu.mcp.usetaizen.com positioned as one connection in place of fifteen-plus individual MCP connectors, and a first-party open-source Claude plugin of thirty GTM Agent Skills. Backed by Techstars, the company emphasizes built-in governance, no model-vendor lock-in, SOC 2 / ISO 27001 / GDPR posture with an EU data region, and open sources supporting retrieval tooling on GitHub.

Taizen publishes 1 API on the APIs.io network. Tagged areas include Company, Win-Loss Analysis, Competitive Intelligence, Sales Enablement, and Revenue Intelligence.

Taizen’s developer surface includes documentation, getting-started guide, signup flow, and 15 more developer resources.

25.0/100 emerging ▲ 9.3 Agent 8/100 agent aware Full breakdown ↓
scored 2026-08-17 · rubric v0.11.0
1 APIs 1 MCP Servers
CompanyWin-Loss AnalysisCompetitive IntelligenceSales EnablementRevenue IntelligenceGTMAI AgentsBattlecardsSalesMCPAgent SkillsConversation IntelligenceProduct Marketing

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-17 · rubric v0.11.0
Composite quality — 25.0/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 5.2 / 20
Commercial Clarity 10.0 / 20
Operational Transparency 0.7 / 13
Governance 1.5 / 12
Discoverability 7.6 / 10
Agent readiness — 8/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
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 5 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/taizen: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 1

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

Taizen MCP Server

Taizen's remote Model Context Protocol server — the company's only machine-callable surface. Per the provider's own manifest it lets an agent connect once instead of wiring fift...

MCP Servers 1

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

taizen-mcp.yml

MCP SERVER

Pricing Plans 1

Published pricing tiers and plan structures.

Taizen Plans Pricing

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Taizen Rate Limits

0 limits

RATE LIMITS

Security Posture 3

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

Taizen Authentication

1 scheme

SECURITY

Taizen Domain Security

TLSv1.3 · DMARC

SECURITY

Taizen Trust Center

SOC 2, ISO 27001

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Build 2

SDKs, sample code, and the tooling you integrate with

Access & Security 3

Authentication, authorization, and security posture

Commercial 4

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: taizen
name: Taizen
description: 'Taizen is a managed agentic AI platform for go-to-market teams that automates win/loss analysis, competitive
  intelligence and sales-asset production. Its agents continuously read recorded sales calls (Gong, Fireflies, tl;dv, Granola,
  Genesys Cloud), CRM deal data (Salesforce, HubSpot, Attio, Clari), survey and review signal (Typeform, SurveyMonkey, G2)
  and existing collateral (Google Drive, SharePoint) to detect recurring objections and competitor moves, then auto-generate
  battlecards, rep-training drills and AI-roleplay scenarios, and deliver them into Slack. Taizen also books and runs AI-led
  interviews with lost buyers. Its machine surface is not a REST API but an agent surface: a remote, OAuth-protected MCP server
  at eu.mcp.usetaizen.com positioned as one connection in place of fifteen-plus individual MCP connectors, and a first-party
  open-source Claude plugin of thirty GTM Agent Skills. Backed by Techstars, the company emphasizes built-in governance, no
  model-vendor lock-in, SOC 2 / ISO 27001 / GDPR posture with an EU data region, and open sources supporting retrieval tooling
  on GitHub.'
url: https://raw.githubusercontent.com/api-evangelist/taizen/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- techstars
x-tier: profile
x-tier-reason: agent-surface-published
accessModel:
  pricing: contact-sales
  onboarding: signup
  trial: false
  try_now: false
  public: false
  label: Contact Sales
  confidence: medium
  source:
  - https://usetaizen.com/book
  - plans/taizen-plans-pricing.yml
  generated: '2026-08-14'
  method: searched
image: https://usetaizen.com/assets/taizen.svg
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-08-14'
tags:
- Company
- Win-Loss Analysis
- Competitive Intelligence
- Sales Enablement
- Revenue Intelligence
- GTM
- AI Agents
- Battlecards
- Sales
- MCP
- Agent Skills
- Conversation Intelligence
- Product Marketing
apis:
- name: Taizen MCP Server
  description: 'Taizen''s remote Model Context Protocol server — the company''s only machine-callable surface. Per the provider''s
    own manifest it lets an agent connect once instead of wiring fifteen-plus individual MCP connectors: it indexes the customer''s
    Gong calls, CRM records and documents so any teammate can query every source through one connection, and it schedules
    recurring AI agents described in natural language, delivering results to Slack, Google Drive or Notion. Protected by OAuth
    2.1 with PKCE and dynamic client registration; tools/list is auth-gated. An EU region is live; the US region advertised
    in the shipped plugin config is not currently serving.'
  humanURL: https://docs.usetaizen.com/
  baseURL: https://eu.mcp.usetaizen.com/mcp
  tags:
  - MCP
  - AI Agents
  - GTM
  properties:
  - type: MCPServer
    url: mcp/taizen-mcp.yml
  - type: Authentication
    url: authentication/taizen-authentication.yml
  - type: WellKnown
    url: well-known/taizen-well-known.yml
  - type: RateLimits
    url: rate-limits/taizen-rate-limits.yml
  - type: Documentation
    url: https://docs.usetaizen.com/
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://usetaizen.com/
- type: Documentation
  url: https://docs.usetaizen.com/
- type: GettingStarted
  url: https://docs.usetaizen.com/docs/getting-started
- type: SignUp
  url: https://usetaizen.com/book
- type: TermsOfService
  url: https://usetaizen.com/terms
- type: PrivacyPolicy
  url: https://usetaizen.com/privacy
- type: DataProcessingAgreement
  url: https://usetaizen.com/dpa
- type: GitHubOrganization
  url: https://github.com/taizen-ai
- type: LinkedIn
  url: https://linkedin.com/company/taizenai
- type: TrustCenter
  url: security/taizen-trust-center.yml
- type: Compliance
  url: https://trust.usetaizen.com/
- type: DomainSecurity
  url: security/taizen-domain-security.yml
- type: AgentSkill
  url: skills/_index.yml
- type: LLMsTxt
  url: llms/taizen-llms.txt
- type: Conformance
  url: conformance/taizen-conformance.yml
- type: Integrations
  url: integrations/taizen-integrations.yml
- type: Packages
  url: packages/taizen-packages.yml
- type: Plans
  url: plans/taizen-plans-pricing.yml
- type: Lifecycle
  url: lifecycle/taizen-lifecycle.yml
x-enrichment:
  date: '2026-08-14'
  status: enriched
  artifacts_added: 44
  pass: local-v1