Callab AI

Callab AI, built by Clusterlabs, is a cloud-based voice AI platform that connects directly to legacy on-premises PBX/SBC telephony (Cisco UCM, Mitel, FreeSWITCH) via SIP trunk integration, routing calls to AI voice agents with no rip-and-replace migration. The platform automates up to 70% of inbound and outbound call volume across support, sales, and scheduling, with no-code agent building, live human supervision and takeover, semantic knowledge bases, post-call transcription and sentiment analysis, CRM data extraction, and batch outbound campaigns. Callab AI exposes a REST API at docs.callab.ai for programmatic control of agents and calls. A Y Combinator Spring 2026 company founded in 2024, it serves hospitality, logistics, retail, and property management across three continents.

Callab AI is listed with 1 API on the APIs.io network. Tagged areas include Voice AI, Conversational AI, Telephony, Contact Center, and SIP.

Callab AI’s developer surface includes documentation, API reference, engineering blog, signup flow, support, and 12 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

15.6/100 emerging ▬ flat Agent 22/100 agent aware Front door AI 6/6 dominant saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 API 1 MCP Servers

Voice AI Conversational AI Telephony Contact Center SIP Voice Agents Call Automation PBX Customer Service AI Agents

Kin Score

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

Composite quality — 15.6/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 3.1 / 17

Operational Transparency 0.0 / 11

Contract Governance 1.9 / 10

Discoverability 6.1 / 9

Regulatory Posture 3.8 / 15

Agent readiness — 22/100 · 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 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 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 AI & Biometrics 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)

8 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 7.1 — up to +18.6 composite points
Access Clarity scores 18.4 — up to +16.3 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/callab-ai/apis.yml: open an issue on github.com/api-evangelist/callab-ai 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 3

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)

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.

Callab AI API

Callab AI's REST API, documented at docs.callab.ai/api-reference, is organized around REST principles with predictable resource-oriented URLs, standard HTTP verbs, and standard ...

MCP Servers 1

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

Callab AI Docs MCP Server

Hosted, OAuth-protected docs-search MCP server (scope mcp:search).

MCP SERVER

Security Posture 1

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

Callab Ai Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

SignUp

SignUp

Login

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

MCPServer

MCPServer

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Access & Security 2

Authentication, authorization, and security posture

Compliance

Compliance

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 1

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

Company 4

The organization behind the API

Website

Website

Blog

Blog

LinkedIn

Twitter

Twitter

Source (apis.yml)

aid: callab-ai
name: Callab AI
url: https://raw.githubusercontent.com/api-evangelist/callab-ai/refs/heads/main/apis.yml
kind: company
description: Callab AI, built by Clusterlabs, is a cloud-based voice AI platform that connects directly to legacy on-premises
  PBX/SBC telephony (Cisco UCM, Mitel, FreeSWITCH) via SIP trunk integration, routing calls to AI voice agents with no rip-and-replace
  migration. The platform automates up to 70% of inbound and outbound call volume across support, sales, and scheduling, with
  no-code agent building, live human supervision and takeover, semantic knowledge bases, post-call transcription and sentiment
  analysis, CRM data extraction, and batch outbound campaigns. Callab AI exposes a REST API at docs.callab.ai for programmatic
  control of agents and calls. A Y Combinator Spring 2026 company founded in 2024, it serves hospitality, logistics, retail,
  and property management across three continents.
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:
  - security
  generated: '2026-11-06'
  method: derived
image: https://framerusercontent.com/images/FI3habKVoti5uJ32Q7ktHORE8U.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-tier: stub
x-tier-reason: portfolio-lead
x-legal-entity: Clusterlabs
x-yc-batch: Spring 2026
x-founders:
- Haithem Kchaou
- Chehir Dhaouadi
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-09-21
x-docs-hosting: vercel
tags:
- Voice AI
- Conversational AI
- Telephony
- Contact Center
- SIP
- Voice Agents
- Call Automation
- PBX
- Customer Service
- AI Agents
tags_raw:
- Voice AI
- Conversational AI
- Telephony
- Contact Center
- SIP
- Voice Agents
- Call Automation
- PBX
- Customer Support
- AI Agents
- Customer-Support
apis:
- aid: callab-ai:api
  name: Callab AI API
  description: Callab AI's REST API, documented at docs.callab.ai/api-reference, is organized around REST principles with
    predictable resource-oriented URLs, standard HTTP verbs, and standard HTTP response codes for programmatic control of
    voice agents and calls. The public API reference is currently gated behind an access code; the API is served from api.callab.ai.
    No public OpenAPI specification is published as of this enrichment pass.
  image: https://framerusercontent.com/images/FI3habKVoti5uJ32Q7ktHORE8U.png
  humanURL: https://docs.callab.ai/api-reference/introduction
  baseURL: https://api.callab.ai
  tags:
  - Voice AI
  - Telephony
  - Voice Agents
  - Call Automation
  - REST
  properties:
  - type: Documentation
    url: https://docs.callab.ai/api-reference/introduction
  - type: APIReference
    url: https://docs.callab.ai/api-reference/introduction
common:
- type: Website
  url: https://callab.ai
- type: DeveloperPortal
  url: https://docs.callab.ai
- type: Documentation
  url: https://docs.callab.ai/api-reference/introduction
- type: APIReference
  url: https://docs.callab.ai/api-reference/introduction
- type: Blog
  url: https://callab.ai/blog
- type: TermsOfService
  url: https://callab.ai/terms-of-service/non-eaa
- type: SignUp
  url: https://app.callab.ai
- type: Login
  url: https://app.callab.ai
- type: Support
  url: https://callab.ai/book-meeting
- type: LinkedIn
  url: https://www.linkedin.com/company/callabai
- type: Twitter
  url: https://x.com/callab_ai
- type: Conformance
  url: conformance/callab-ai-conformance.yml
- type: Compliance
  url: https://callab.ai
- type: DomainSecurity
  url: security/callab-ai-domain-security.yml
- type: WellKnown
  url: well-known/callab-ai-well-known.yml
- type: MCPServer
  url: https://docs.callab.ai/mcp
  name: Callab AI Docs MCP Server
  description: Hosted, OAuth-protected docs-search MCP server (scope mcp:search).
- type: LLMsTxt
  url: llms/callab-ai-llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

Callab AI API — frequently asked questions

Does Callab AI have an API?

Yes. APIs.io lists 1 API from Callab AI, including Callab AI API.

Does Callab AI have an MCP server?

Yes. APIs.io lists 1 MCP server for Callab AI: Hosted, OAuth-protected docs-search MCP server (scope mcp:search).

Is the Callab AI API ready for AI agents?

Callab AI has a Kin Score of 15.6 out of 100 (emerging) and an Agent Readiness score of 22.2 (agent-aware), scored by API Evangelist on 2026-11-06.

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