Tinq.ai is a developer-focused natural language processing platform that packages text analysis, content generation, and retrieval features into ready-to-use REST APIs. It is built for developers, product teams, and businesses that want to add language intelligence to their applications without training or hosting their own models, and it has expanded into retrieval-augmented generation through an AI workspace and a Model Context Protocol server.
Key Capabilities
- Sentiment Analysis to detect positive, negative, and neutral tone in reviews, support tickets, and social content.
- Named Entity Recognition to extract people, places, organizations, brands, and other entities from text.
- Rewriter and Paraphraser that uses AI to rephrase text with fresh wording while preserving meaning.
- Summarizer that condenses long documents and surfaces the most relevant sentences.
- Plagiarism Checker that highlights familiar passages and suggests improvements.
- Text and web article extraction that converts Word, PDF, and Excel files or web pages into clean, usable text.
Retrieval and AI Workspace
Beyond standalone NLP endpoints, Tinq.ai offers an AI workspace and an MCP server that connect organizational knowledge to AI assistants. Teams can index documents and connect sources such as Google Drive, Notion, SharePoint, Slack, and Linear, then query that unified knowledge through an OpenAI-compatible API inside tools like ChatGPT, Claude, or Gemini. Access permissions are mirrored so users and assistants only reach authorized content, and responses include citations to the original sources.
Use Cases
- Customer support automation grounded in your own documentation.
- Employee onboarding and internal knowledge search across scattered tools.
- Content workflows such as paraphrasing, summarization, and plagiarism checking.
- Analytics pipelines that classify text and extract entities and sentiment at scale.
Developer Experience
All features are exposed through a simple REST API, so teams can integrate them in days rather than months. The platform is model-agnostic through its OpenAI-compatible endpoint and supports an MCP server for connecting workspaces to AI agents. Tinq.ai reports serving more than 6,000 developers across startups, universities, and enterprises.
Pricing
Tinq.ai offers tiered subscriptions. The Personal plan is 15 dollars per month with one user, 20GB of storage, two data sources, and 500K tokens. The Spark plan is 55 dollars per month with ten users, 50GB of storage, ten data sources, 1M tokens, and one custom vector store and storage integration. The Growth plan is 150 dollars per month with 25 users, 100GB of storage, 20 data sources, and 5M tokens. A free trial is available without a credit card.
