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 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.
Kin Score
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 3
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONLang.ai Documents API
OPEN COLLECTIONLang.ai Documents Projects API
OPEN COLLECTIONMCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
Lang.ai MCP Server
MCP SERVERPricing Plans 1
Published pricing tiers and plan structures.
Langai Plans Pricing
PLANSRate Limits 1
Documented rate limits and quota policies.
Langai Rate Limits
RATE LIMITSSecurity Posture 4
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
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)
Work with this as data
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