Lang.ai

Lang.ai is a conversation-intelligence platform that turns unstructured customer interactions — support tickets, chatbot messages, emails and calls — into structured intents, features and tags. Its unsupervised algorithm ingests a dataset of customer text, automatically extracts the intents and features it finds, and lets teams group those into tags that form a custom classifier for any language, industry or business case. A small REST API then applies that classifier in real time: create a project from a CSV dataset, list projects and their tags, analyze a document to get back its matched tags and intents, and save documents with arbitrary metadata for dashboard reporting. Lang.ai was founded in Spain, backed by 500 Global, and is now part of Capacity, whose AI support-automation platform absorbed Lang.ai's conversation intelligence.

Lang.ai publishes 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine Learning, Natural Language Processing, and Conversation Intelligence.

Lang.ai’s developer surface includes documentation, API reference, getting-started guide, support, engineering blog, pricing, signup flow, and 22 more developer resources.

53.0/100 developing Agent 60/100 agent ready Full breakdown ↓
scored 2026-07-20 · rubric v0.4
1 APIs 1 MCP Servers 0 Features
CompanyArtificial IntelligenceMachine LearningNatural Language ProcessingConversation IntelligenceCustomer SupportText ClassificationAnalyticsCustomer Experience

API Rating

API Evangelist API Evangelist Rating How this is scored →
scored 2026-07-20 · rubric v0.4
Composite quality — 53.0/100 · developing
Contract Quality 15.5 / 25
Developer Ergonomics 13.5 / 20
Commercial Clarity 12.1 / 20
Operational Transparency 2.7 / 13
Governance 0.0 / 12
Discoverability 9.3 / 10
Agent readiness — 60/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 0 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 9 / 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
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/langai: 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

Lang.ai API

REST API for building and applying custom text classifiers. Create a project from a dataset of customer interactions, list projects and their tags, analyze a document to receive...

MCP Servers

langai-mcp.yml

MCP SERVER

Resources

Get Started 3

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 5

Authentication, authorization, and security posture

Operate 3

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: langai
name: Lang.ai
description: 'Lang.ai is a conversation-intelligence platform that turns unstructured customer interactions — support tickets,
  chatbot messages, emails and calls — into structured intents, features and tags. Its unsupervised algorithm ingests a dataset
  of customer text, automatically extracts the intents and features it finds, and lets teams group those into tags that form
  a custom classifier for any language, industry or business case. A small REST API then applies that classifier in real time:
  create a project from a CSV dataset, list projects and their tags, analyze a document to get back its matched tags and intents,
  and save documents with arbitrary metadata for dashboard reporting. Lang.ai was founded in Spain, backed by 500 Global,
  and is now part of Capacity, whose AI support-automation platform absorbed Lang.ai''s conversation intelligence.'
image: https://docs.lang.ai/images/logo-lang.svg
url: https://raw.githubusercontent.com/api-evangelist/langai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- 500-global
x-tier: enriched
x-tier-reason: documented-rest-api
x-status: acquired
x-acquired-by: Capacity
x-acquisition-note: lang.ai now redirects to https://capacity.com/lang/ ("Lang AI is now part of Capacity"). The Lang.ai API
  reference at https://docs.lang.ai/ and the help center at https://help.lang.ai/ remain live; commercial, legal, status and
  compliance properties are Capacity's.
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Artificial Intelligence
- Machine Learning
- Natural Language Processing
- Conversation Intelligence
- Customer Support
- Text Classification
- Analytics
- Customer Experience
apis:
- aid: langai:api
  name: Lang.ai API
  description: REST API for building and applying custom text classifiers. Create a project from a dataset of customer interactions,
    list projects and their tags, analyze a document to receive its matched tags and intents, and save documents with metadata
    into a project for dashboard reporting. Authenticated with a bearer API token issued from the Settings section of your
    Lang.ai instance.
  humanURL: https://docs.lang.ai/
  baseURL: https://company.lang.ai/api/v1
  x-baseURL-template: https://{company}.lang.ai/api/v1
  x-baseURL-note: Lang.ai is deployed per tenant; the documented service URL uses your own instance subdomain in place of
    "company".
  tags:
  - Text Classification
  - Natural Language Processing
  - Conversation Intelligence
  properties:
  - type: OpenAPI
    url: openapi/langai-api-openapi.yml
  - type: Documentation
    url: https://docs.lang.ai/
  - type: APIReference
    url: https://docs.lang.ai/
  - type: Authentication
    url: authentication/langai-authentication.yml
  - type: ErrorCatalog
    url: errors/langai-problem-types.yml
  - type: Overlay
    url: overlays/langai-api-overlay.yaml
  - type: DataModel
    url: data-model/langai-data-model.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://lang.ai
- type: DeveloperPortal
  url: https://docs.lang.ai/
- type: Documentation
  url: https://docs.lang.ai/
- type: APIReference
  url: https://docs.lang.ai/
- type: GettingStarted
  url: https://docs.lang.ai/#workflow
- type: Support
  url: https://help.lang.ai/
- type: HelpCenter
  url: https://help.lang.ai/
- type: GitHubOrganization
  url: https://github.com/lang-ai
- type: Blog
  url: https://capacity.com/blog/
- type: Pricing
  url: https://capacity.com/pricing/
- type: SignUp
  url: https://capacity.com/lang/
- type: TermsOfService
  url: https://capacity.com/website-terms-of-use/
- type: PrivacyPolicy
  url: https://capacity.com/privacy-policy/
- type: StatusPage
  url: https://status.capacity.com/
- type: Compliance
  url: https://capacity.com/security/
- type: Authentication
  url: authentication/langai-authentication.yml
- type: Conventions
  url: conventions/langai-conventions.yml
- type: Idempotency
  url: conventions/langai-conventions.yml
- type: ErrorCatalog
  url: errors/langai-problem-types.yml
- type: Lifecycle
  url: lifecycle/langai-lifecycle.yml
- type: Conformance
  url: conformance/langai-conformance.yml
- type: DataModel
  url: data-model/langai-data-model.yml
- type: MCPServer
  url: mcp/langai-mcp.yml
- type: LLMsTxt
  url: llms/langai-llms.txt
- type: AgentSkill
  url: skills/_index.yml
- type: Overlay
  url: overlays/langai-api-overlay.yaml
- type: DomainSecurity
  url: security/langai-domain-security.yml
- type: VulnerabilityDisclosure
  url: security/langai-vulnerability-disclosure.yml
- type: TrustCenter
  url: security/langai-trust-center.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence