Waniwani

Waniwani is an AI distribution platform: it helps companies build, deploy, and optimize AI apps — lightweight services built on the Model Context Protocol (MCP) that represent a product inside AI conversations on ChatGPT, Claude, Gemini, and Perplexity. The platform spans an AI app builder, synthetic-buyer monitoring, full-funnel analytics, and continuous compliance monitoring (GDPR, EU AI Act, DORA, SOC 2). Its open-source TypeScript SDK (@waniwani/sdk) and CLI (@waniwani/cli) let any quote-based vendor — insurance, mortgage, software, home services — build multi-step conversational funnels (lead generation, booking, quotes) that compile to a single MCP tool, backed by a hosted MCP server for operating the platform from an AI client. Backed by an $8M seed round led by Seedcamp.

Waniwani is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, MCP, AI Distribution, and Conversational AI.

Waniwani’s developer surface includes documentation, API reference, getting-started guide, engineering blog, signup flow, pricing, support, and 26 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

43.0/100 developing ▬ flat Agent 31/100 agent ready Front door AI 6/6 dominant Heartbeat 85/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 API 1 MCP Servers 1 Agent Skills

Company Artificial Intelligence MCPAI DistributionConversational AI Lead Generation Insurance Fintech Agents SDK

Kin Score

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

Composite quality — 43.0/100 · developing

Contract Quality 0.0 / 21

Developer Ergonomics 14.6 / 17

Access Clarity 6.3 / 17

Operational Transparency 4.1 / 11

Contract Governance 1.9 / 10

Discoverability 6.4 / 9

Regulatory Posture 6.5 / 15

Agent readiness — 31/100 · agent ready

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 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 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 6 / 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 Insurance 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
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
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

7 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
Access Clarity scores 36.8 — up to +12.6 composite points
Contract Governance scores 18.2 — up to +9.8 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/waniwani/apis.yml: open an issue on github.com/api-evangelist/waniwani 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 →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Agent Skills (SKILL.md packages)	distribution	9.6 (thin)	-	1

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 4

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 (verified)

Agent Skills

measured — observed by APIs.io (published)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

Dynamic Client Registration

measured — observed by APIs.io (published)

APIs 1

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

WaniWani Platform

The WaniWani AI-distribution platform and its hosted MCP server — build MCP funnels with the open-source SDK/CLI, operate environments, API keys, analytics and sessions via the ...

MCP Servers 1

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

Waniwani MCP Server

WaniWani's own hosted MCP server for operating the WaniWani platform conversationally from Claude, Cursor, or ChatGPT (manage environments, API keys, analytics digests, session ...

MCP SERVER

Agent Skills 1

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

waniwani-sdk

AGENT SKILL

Security Posture 4

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

Waniwani Authentication

oauth2/apiKey · 2 schemes

SECURITY

Waniwani Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Waniwani Vulnerability Disclosure

contact published

SECURITY

Waniwani Trust Center

SOC 2 Type II, GDPR, EU AI Act, DORA

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Waniwani Scopes

25 scopes

SCOPES

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

GettingStarted

SignUp

Sandbox

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

MCPServer

LLMsTxt

WellKnown

AgentSkill

Design & Contract 4

Pagination, idempotency, versioning, errors, and events

Conformance

Conventions

Lifecycle

Components

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

Packages

SDKs

CLI

Access & Security 7

Authentication, authorization, and security posture

OAuthScopes

Authentication

Compliance

TrustCenter

VulnerabilityDisclosure

VulnerabilityDisclosure

Security

Security

DomainSecurity

DomainSecurity

Scroll for all 7

Operate 3

Status, limits, changes, and where to get help

Support

Support

ChangeLog

ChangeLog

Deprecation

Deprecation

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-17
x-docs-hosting: vercel
x-enrichment:
  date: '2026-07-21'
  status: nochange
  artifacts_added: 0
  pass: local-v1
aid: waniwani
name: Waniwani
description: 'Waniwani is an AI distribution platform: it helps companies build, deploy, and optimize AI apps — lightweight
  services built on the Model Context Protocol (MCP) that represent a product inside AI conversations on ChatGPT, Claude,
  Gemini, and Perplexity. The platform spans an AI app builder, synthetic-buyer monitoring, full-funnel analytics, and continuous
  compliance monitoring (GDPR, EU AI Act, DORA, SOC 2). Its open-source TypeScript SDK (@waniwani/sdk) and CLI (@waniwani/cli)
  let any quote-based vendor — insurance, mortgage, software, home services — build multi-step conversational funnels (lead
  generation, booking, quotes) that compile to a single MCP tool, backed by a hosted MCP server for operating the platform
  from an AI client. Backed by an $8M seed round led by Seedcamp.'
url: https://raw.githubusercontent.com/api-evangelist/waniwani/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- seedcamp
x-tier: profiled
x-tier-reason: enriched-from-public-surface
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: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - scopes
  - security
  - sandbox
  generated: '2026-11-06'
  method: derived
image: https://compliance.waniwani.ai/brand/logo
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Artificial Intelligence
- MCP
- AI Distribution
- Conversational AI
- Lead Generation
- Insurance
- Fintech
- Agents
- SDK
tags_raw:
- Company
- Artificial Intelligence
- Model Context Protocol
- AI Distribution
- Conversational AI
- Lead Generation
- Insurance
- Fintech
- Agents
- SDK
apis:
- name: WaniWani Platform
  description: The WaniWani AI-distribution platform and its hosted MCP server — build MCP funnels with the open-source SDK/CLI,
    operate environments, API keys, analytics and sessions via the OAuth 2.1 MCP server.
  humanURL: https://docs.waniwani.ai
  baseURL: https://app.waniwani.ai
  tags:
  - MCP
  - AI Distribution
  properties:
  - type: Documentation
    url: https://docs.waniwani.ai
  - type: APIReference
    url: https://docs.waniwani.ai/sdk/reference/entry-points
  - type: MCPServer
    url: mcp/waniwani-mcp.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.waniwani.ai
- type: DeveloperPortal
  url: https://docs.waniwani.ai
- type: Documentation
  url: https://docs.waniwani.ai
- type: APIReference
  url: https://docs.waniwani.ai/sdk/reference/entry-points
- type: GettingStarted
  url: https://docs.waniwani.ai/sdk/quickstart
- type: Blog
  url: https://www.waniwani.ai/blog
- type: GitHubOrganization
  url: https://github.com/WaniWani-AI
- type: SignUp
  url: https://app.waniwani.ai
- type: Pricing
  url: https://app.waniwani.ai
- type: TermsOfService
  url: https://www.waniwani.ai/terms
- type: PrivacyPolicy
  url: https://www.waniwani.ai/privacy
- type: Support
  url: https://github.com/WaniWani-AI/sdk/issues
- type: Packages
  url: packages/waniwani-packages.yml
- type: SDKs
  url: packages/waniwani-packages.yml
- type: CLI
  url: cli/waniwani-cli.yml
- type: MCPServer
  url: mcp/waniwani-mcp.yml
- type: LLMsTxt
  url: llms/waniwani-llms.txt
- type: WellKnown
  url: well-known/waniwani-well-known.yml
- type: OAuthScopes
  url: scopes/waniwani-scopes.yml
- type: Authentication
  url: authentication/waniwani-authentication.yml
- type: Conformance
  url: conformance/waniwani-conformance.yml
- type: Compliance
  url: https://compliance.waniwani.ai/overview
- type: TrustCenter
  url: https://compliance.waniwani.ai/overview
- type: VulnerabilityDisclosure
  url: security/waniwani-vulnerability-disclosure.yml
- type: Security
  url: https://github.com/WaniWani-AI/sdk/blob/main/SECURITY.md
- type: DomainSecurity
  url: security/waniwani-domain-security.yml
- type: Conventions
  url: conventions/waniwani-conventions.yml
- type: ChangeLog
  url: changelog/waniwani-changelog.yml
- type: Lifecycle
  url: lifecycle/waniwani-lifecycle.yml
- type: Deprecation
  url: lifecycle/waniwani-lifecycle.yml
- type: Sandbox
  url: sandbox/waniwani-sandbox.yml
- type: Components
  url: components/waniwani-components.yml
- type: AgentSkill
  url: skills/waniwani-sdk-skill.md

Waniwani API — frequently asked questions

Does Waniwani have an API?

Yes. APIs.io lists 1 API from Waniwani, including WaniWani Platform.

How do I authenticate with the Waniwani API?

Waniwani documents its authentication (oauth2/apiKey · 2 schemes). The details are profiled on APIs.io as Waniwani Authentication.

Does Waniwani have an MCP server?

Yes. APIs.io lists 1 MCP server for Waniwani: WaniWani's own hosted MCP server for operating the WaniWani platform conversationally from Claude, Cursor, or ChatGPT (manage environments, API keys, analytics digests, session breakdowns). This is di

Is the Waniwani API ready for AI agents?

Waniwani has a Kin Score of 43.0 out of 100 (developing) and an Agent Readiness score of 30.9 (agent-ready), 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.

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