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.

🌐 Visit website 📡 Source on GitHub

28.2/100 thin ▬ flat Agent 12/100 agent aware saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

1 APIs 1 MCP Servers

Company Win-Loss Analysis Competitive Intelligence Sales Enablement Revenue Intelligence Go-To-Market AI Agents Battlecards Sales MCP Agent Skills Conversation Intelligence Product Marketing

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 28.2/100 · thin

Contract Quality 0.0 / 25

Developer Ergonomics 8.1 / 20

Access Clarity 10.0 / 20

Operational Transparency 0.3 / 13

Contract Governance 2.2 / 12

Discoverability 7.6 / 10

Agent readiness — 12/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 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

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

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.

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 github.com/api-evangelist/taizen: open an issue to ask a question, or submit a pull request to add artifacts. 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.

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 Server

Taizen's hosted MCP server. Per the provider's own manifest it exists to "connect once instead of 15+ individual MCP connectors" — it indexes the customer's Gong calls, CRM reco...

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

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

AgentSkill

AgentSkill

LLMsTxt

LLMsTxt

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Lifecycle

Lifecycle

Build 2

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

Access & Security 3

Authentication, authorization, and security posture

TrustCenter

TrustCenter

Compliance

Compliance

DomainSecurity

DomainSecurity

Commercial 4

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

DataProcessingAgreement

DataProcessingAgreement

Plans

Plans

Company 2

The organization behind the API

Website

Website

LinkedIn

Source (apis.yml)

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
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: 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: '0.23'
created: '2026-07-17'
modified: '2026-08-14'
tags:
- Company
- Win-Loss Analysis
- Competitive Intelligence
- Sales Enablement
- Revenue Intelligence
- Go-To-Market
- AI Agents
- Battlecards
- Sales
- MCP
- Agent Skills
- Conversation Intelligence
- Product Marketing
tags_raw:
- 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
  - Go-To-Market
  tags_raw:
  - 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

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