Kanbai

Kanbai is a project‑management platform that combines teams of people and AI agents to plan, execute, and track projects. It offers tools, templates, SOP libraries, and AI‑assisted features for risk assessment, estimation, and workflow automation. The service is operated by Bicycle LLC and provides a web interface for collaborative project planning.

Kanbai publishes 2 API contracts indexed on the APIs.io network: Sops API and Templates API. Tagged areas include Company, Project Management, Artificial Intelligence, Collaboration, and Software-as-a-Service.

The Kanbai catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

Kanbai’s developer surface includes support, documentation, getting-started guide, API reference, and 19 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

35.0/100 thin Agent 29/100 agent ready Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

1 published contract 1 MCP Servers 1 Agent Skills

Company Project Management Artificial Intelligence Collaboration Software-as-a-Service

Kin Score

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

Composite quality — 35.0/100 · thin

Contract Quality 10.9 / 21

Developer Ergonomics 6.8 / 17

Access Clarity 4.7 / 17

Operational Transparency 0.0 / 11

Contract Governance 2.2 / 10

Discoverability 5.5 / 9

Regulatory Posture 1.8 / 15

Agent readiness — 29/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 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

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

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 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 →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented) Ask about this →
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link Ask about this →
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document Ask about this →

8 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Access Clarity scores 27.7 — up to +14.5 composite points Ask about this →
Operational Transparency scores 0.0 — up to +13.0 composite points Ask about this →
Contract Quality scores 51.4 — up to +12.2 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/kanbai-app/apis.yml: open an issue on github.com/api-evangelist/kanbai-app 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 2

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)

OpenAPI

measured — observed by APIs.io (published)

APIs 2

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

Kanbai Sops API

The Sops API from Kanbai — 2 operation(s) for sops.

Kanbai Templates API

The Templates API from Kanbai — 2 operation(s) for templates.

MCP Servers 1

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

Kanbai MCP Server

Remote MCP server at kanbai.app.

MCP SERVER

Agent Skills 1

Packaged agent skills for driving this provider's APIs from an AI assistant.

kanbai-app-public

AGENT SKILL

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Kanbai App Context

5 classes · 5 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs. Counts are the severity each rule declares, not results of running them.

Kanbai API Rules

33 rules · 31 error-severity 1 warn-severity 1 info-severity

SPECTRAL

JSON Schema 4

Standalone JSON Schema definitions for this provider's data models.

KanbaiGetSopOutput

1 properties

JSON SCHEMA

KanbaiGetTemplateOutput

1 properties

JSON SCHEMA

KanbaiListSopsOutput

1 properties

JSON SCHEMA

KanbaiListTemplatesOutput

1 properties

JSON SCHEMA

Security Posture 1

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

Kanbai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access (API Evangelist recommendations) 1

Recommended x-agentic-access execution contracts for AI agents.

Kanbai Agentic Access

4 operations

4 operations · 0 acting

AGENTIC

Resources

Get Started 2

Portal, sign-up, and the first successful call

Login

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 5

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgentSkill

LLMsTxt

MCPServer

WellKnown

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

DataModel

ErrorCatalog

Conformance

Build 1

SDKs, sample code, and the tooling you integrate with

ToolCrosswalk

ToolCrosswalk

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 1

The organization behind the API

Website

Website

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: kanbai-app
name: Kanbai
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-13'
  method: derived
image: https://kanbai.app/opengraph-image?a5283b50c4e92906
description: Kanbai is a project‑management platform that combines teams of people and AI agents to plan, execute, and track
  projects. It offers tools, templates, SOP libraries, and AI‑assisted features for risk assessment, estimation, and workflow
  automation. The service is operated by Bicycle LLC and provides a web interface for collaborative project planning.
url: https://artifacts.apis.io/kanbai-app/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-13 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-13'
modified: '2026-11-13'
tags:
- Company
- Project Management
- Artificial Intelligence
- Collaboration
- Software-as-a-Service
tags_raw:
- Company
- Project Management
- AI
- Collaboration
- SaaS
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: AgenticAccess
  url: agentic-access/kanbai-app-agentic-access.yml
- type: Spectral
  url: rules/kanbai-app-rules.yml
- type: JSONLD
  url: json-ld/kanbai-app-context.jsonld
- type: Vocabulary
  url: vocabulary/kanbai-app-vocabulary.yml
- type: AgentSkill
  url: skills/_index.yml
- type: DataModel
  url: data-model/kanbai-app-data-model.yml
- type: ErrorCatalog
  url: errors/kanbai-app-problem-types.yml
- type: Conformance
  url: conformance/kanbai-app-conformance.yml
- type: LLMsTxt
  url: llms/kanbai-app-llms.txt
- type: ToolCrosswalk
  url: mcp/kanbai-app-tool-crosswalk.yml
- type: MCPServer
  url: mcp/kanbai-app-mcp.yml
- type: WellKnown
  url: well-known/kanbai-app-well-known.yml
- type: Hosts
  url: hosts/kanbai-app-hosts.yml
- type: Vendors
  url: vendors/kanbai-app-vendors.yml
- type: TermsOfService
  url: https://kanbai.app/terms
- type: Support
  url: https://kanbai.app/help
- type: PrivacyPolicy
  url: https://kanbai.app/privacy
- type: Login
  url: https://kanbai.app/login
- type: Documentation
  url: https://kanbai.app/docs
- type: GettingStarted
  url: https://kanbai.app/docs/getting-started
- type: APIReference
  url: https://kanbai.app/llms.txt
- type: DomainSecurity
  url: security/kanbai-app-domain-security.yml
- type: Website
  url: https://kanbai.app/
apis:
- aid: kanbai-app:kanbai-app-sops-api
  name: Kanbai Sops API
  description: The Sops API from Kanbai — 2 operation(s) for sops.
  humanURL: https://kanbai.app/docs
  baseURL: https://kanbai.app
  tags:
  - SOPs
  tags_raw:
  - Sops
  properties:
  - type: OpenAPI
    url: openapi/kanbai-app-sops-api-openapi.yml
  - type: JSONSchema
    url: json-schema/kanbai-app-kanbai-get-sop-output-schema.json
  - type: JSONSchema
    url: json-schema/kanbai-app-kanbai-list-sops-output-schema.json
- aid: kanbai-app:kanbai-app-templates-api
  name: Kanbai Templates API
  description: The Templates API from Kanbai — 2 operation(s) for templates.
  humanURL: https://kanbai.app/docs
  baseURL: https://kanbai.app
  tags:
  - Templates
  properties:
  - type: OpenAPI
    url: openapi/kanbai-app-templates-api-openapi.yml
  - type: JSONSchema
    url: json-schema/kanbai-app-kanbai-get-template-output-schema.json
  - type: JSONSchema
    url: json-schema/kanbai-app-kanbai-list-templates-output-schema.json
x-enrichment:
  date: '2026-11-13'
  status: enriched
  artifacts_added: 24
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Kanbai API — frequently asked questions

Does Kanbai have an API?

Yes. APIs.io lists 2 APIs from Kanbai, including Kanbai Sops API and Kanbai Templates API.

Is there an OpenAPI specification for the Kanbai API?

Yes. APIs.io indexes 2 OpenAPI specifications for Kanbai, each linked for download from this page.

Does Kanbai have an MCP server?

Yes. APIs.io lists 1 MCP server for Kanbai: Remote MCP server at kanbai.app.

Is the Kanbai API ready for AI agents?

Kanbai has a Kin Score of 35.0 out of 100 (thin) and an Agent Readiness score of 28.7 (agent-ready), scored by API Evangelist on 2026-11-13.

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