Lang.ai website screenshot

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 is listed with 2 APIs on the APIs.io network: Documents API and Projects API. 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 30 more developer resources.

51.4/100 developing ▬ flat Agent 32/100 agent ready Front door AI 6/6 dominant saas Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →
AccessPaid
2 APIs 2 Agent Skills
CompanyArtificial IntelligenceMachine LearningNatural Language ProcessingConversation IntelligenceCustomer ServiceText ClassificationAnalyticsCustomer Experience

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-10-31 · rubric v0.25.0
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):
  • MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
  • A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
  • Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented)
  • Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document
  • Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks
  • Documented Reversibility +6 pts — a reversal operation in the contract, graded up when a window is documented too
6 more unmet checks in the Agent Readiness table above.
Kin Score — facets with the most composite points still available (weight × headroom):
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/langai/apis.yml: open an issue on github.com/api-evangelist/langai 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.

MarketPositionDepthRegistered MCP serverDeclares compatibility
Customer Support, Helpdesk and Contact Center undeclared - - -
Intercom App Store (customer-support, chat and messaging integrations) undeclared - - -

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.

APIs 2

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

Lang.ai Documents API

Analyze and save documents against a project.

Lang.ai Projects API

Create and inspect classification projects and their tags.

Open Collections 2

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Lang.ai Documents API

OPEN COLLECTION

Agent Skills 2

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

Pricing Plans 1

Published pricing tiers and plan structures.

Langai Plans Pricing

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Langai Rate Limits

0 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Langai Api Overlay

7 actions · update · langai-api-openapi.yml

DERIVED

Security Posture 4

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

Langai Authentication

http · 1 scheme

SECURITY

Langai Domain Security

TLSv1.2 · DMARC

SECURITY

Langai Vulnerability Disclosure

Hackerone · security.txt · contact published

SECURITY

Langai Trust Center

SOC 2 Type II, HIPAA, GDPR

SECURITY

Agentic Access 1

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

Langai Agentic Access

5 operations · 3 acting

5 operations · 3 acting

AGENTIC

Resources

Get Started 3

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Build 3

SDKs, sample code, and the tooling you integrate with

Access & Security 5

Authentication, authorization, and security posture

Operate 7

Status, limits, changes, and where to get help

Scroll for all 7

Commercial 4

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.'
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: high
  source:
  - plans
  - authentication
  - rate-limits
  - security
  - sandbox
  - url: https://lang.ai
    status: 301
    note: declared website redirects to https://capacity.com/lang/?company=lang.ai — a different registrable domain (lang.ai
      -> capacity.com), possible rename or acquisition (probed 2026-09-03, roadmap#169)
  generated: '2026-09-03'
  method: derived
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: '0.23'
created: '2026-07-17'
modified: '2026-08-14'
x-docs-platform: slate
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-03
tags:
- Company
- Artificial Intelligence
- Machine Learning
- Natural Language Processing
- Conversation Intelligence
- Customer Service
- Text Classification
- Analytics
- Customer Experience
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Natural Language Processing
- Conversation Intelligence
- Customer Support
- Text Classification
- Analytics
- Customer Experience
- Machine-Learning
- Customer-Support
apis:
- aid: langai:langai-documents-api
  name: Lang.ai Documents API
  description: Analyze and save documents against a project.
  humanURL: https://docs.lang.ai/
  baseURL: https://company.lang.ai/api/v1
  tags:
  - Documents
  properties:
  - type: OpenAPI
    url: openapi/langai-documents-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: DataModel
    url: data-model/langai-data-model.yml
- aid: langai:langai-projects-api
  name: Lang.ai Projects API
  description: Create and inspect classification projects and their tags.
  humanURL: https://docs.lang.ai/
  baseURL: https://company.lang.ai/api/v1
  tags:
  - Project
  tags_raw:
  - Projects
  properties:
  - type: OpenAPI
    url: openapi/langai-projects-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: 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: AgenticAccess
  url: agentic-access/langai-agentic-access.yml
- 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: X-MCPServerCandidate
  url: mcp/langai-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- 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
- type: ChangeLog
  url: changelog/langai-changelog.yml
- type: ChangeLog
  url: https://roadmap.lang.ai/changelog
- type: Roadmap
  url: https://roadmap.lang.ai/
- type: Plans
  url: plans/langai-plans-pricing.yml
- type: RateLimits
  url: rate-limits/langai-rate-limits.yml
- type: Examples
  url: examples/langai-request-examples.yml
- type: Packages
  url: packages/langai-packages.yml
x-enrichment:
  date: '2026-08-14'
  status: enriched
  artifacts_added: 6
  pass: local-v1
  note: 'Contract discovery re-run across five hosts (lang.ai, docs.lang.ai, help.lang.ai, capacity.com, api.capacity.com).
    Newly found: the public Canny changelog + RSS feed at roadmap.lang.ai, the Snowflake Marketplace Native App, and the empty
    langai-python SDK repo. No agent card, no MCP server, no AsyncAPI, no OAuth, no sandbox, no SDK.'

Lang.ai API — frequently asked questions

Does Lang.ai have an API?

Yes. APIs.io lists 2 APIs from Lang.ai, including Lang.ai Documents API and Lang.ai Projects API.

Is there an OpenAPI specification for the Lang.ai API?

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

How do I authenticate with the Lang.ai API?

Lang.ai uses bearer-token authentication (http · 1 scheme). The details are profiled on APIs.io as Langai Authentication.

How much does the Lang.ai API cost?

APIs.io lists 3 pricing plans for Lang.ai, with each plan's price, limits and inclusions under Pricing Plans on this page.

Is the Lang.ai API ready for AI agents?

Lang.ai has a Kin Score of 51.4 out of 100 (developing) and an Agent Readiness score of 32.1 (agent-ready), scored by API Evangelist on 2026-10-31.

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