Singlebase

What is Singlebase?

Singlebase is a backend platform that gives applications and AI agents one shared data foundation, reachable through a single JSON API. It combines a document database with VectorDB embeddings, FTS5 full-text search and hybrid retrieval, plus user identity, file storage, and AI services for generation, embeddings, structured JSON extraction and chat grounded in your documents. Each agent can get its own key scoped by collection and operation, so a shopping agent might read a product catalog but not orders, and agent runtimes can also connect over MCP to discover collections, search documents and return answers with sources. Document conversion turns PDFs, Word files and images into Markdown or structured JSON using OCR and LLMs. You connect with the JavaScript SDK, the REST API or the Python quickstart. Plans are Lite at $9 per month, Plus at $20, Premium at $60 and Business at $200, which vary in agents, AI credits, data records and model access, with private cloud and on-premises options on Business.

Use cases

• Store data for AI agents
• Run semantic search over records
• Give agents scoped database access
• Chat with documents and knowledge bases
• Convert PDFs and images to Markdown
• Add sign-in and file storage to an app

Who it's for

• Developers
• AI agent builders
• Startups
• Product teams

Why use Singlebase

• Documents, vectors, text search, identity and storage share one API, which cuts the number of services to wire up.
• Per-agent keys limit what each agent can read or change.
• MCP support lets existing agent runtimes search and update your data with sources.
• Pricing is published per month with clear agent, credit and record limits.
• The same data serves both your application and your agents.

Singlebase features

• JSON DocumentDB
• VectorDB with similarity search
• FTS5 full-text and hybrid retrieval
• Per-agent keys scoped by collection and operation
• MCP connection for agent runtimes
• Document to Markdown and OCR conversion
• Chat with Documents and DocsIQ knowledge bases
• Data Lens for exploring application data
• Identity with sign-up, sign-in and access control
• File storage and embeddable web components
• JavaScript SDK and REST API

Singlebase integrations

• ChatGPT
• Claude
• Gemini
• DeepSeek
• Mistral
• MCP

How to get started with Singlebase

1. Create a project and install @singlebase/singlebase-sdk, or call the REST API with an API key.
2. Create documents in DocumentDB and make the content searchable by meaning or keyword.
3. Create an agent key scoped to the collections and operations it needs, or connect over MCP.
4. Add chat, document conversion, identity and storage as your app grows.

Singlebase limitations

• Each plan caps agents, AI credits and data records
• Lite includes one user and a single nano agent
• Private cloud and on-premises options are Business only
• Higher-end model access is limited to upper plans

Singlebase pricing

Singlebase has no free plan. Plans start at $9 per month, according to the official pricing page on 24 Oct 2026.

Singlebase plans

• Lite

  $9.00/month

  • 1 nano agent
  • 5,000 AI credits
  • 1,000 data records
  • Basic AI / LLM access
  • 1 user

• Plus

  $20.00/month

  • 3 smart agents
  • 15,000 AI credits
  • 5,000 data records
  • Gemini, DeepSeek, Mistral access
  • RAG pipelines and Data Lens

• Premium

  $60.00/month

  • 10 smart agents
  • 50,000 AI credits
  • 20,000 data records
  • ChatGPT, Claude, Gemini access
  • DocsIQ and custom AI agents

• Business

  $200.00/month

  • 50 smart agents
  • 150,000 AI credits
  • 75,000 data records
  • Frontier model access
  • Private cloud and on-premises options

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

Singlebase alternatives

The main Singlebase alternatives listed on Debuly are Pinecone, Agentset, Azure AI Search, Baseplate, Cognee and Crawl4AI. The table compares pricing and platforms; order is A–Z.

1. 

   Agentset

   RAG-as-a-service for developers: ingest documents, run agentic search and build chat with citations through an API and SDKs.

   Developer platformsResearch and searchAutomation and agents
   FreemiumVisit Agentset (official site)
2. 

   Azure AI Search

   Managed Microsoft Azure search service for full-text, vector and hybrid retrieval, with agentic retrieval and a free tier for AI apps and RAG.

   Developer platformsResearch and searchAutomation and agents
   FreemiumVisit Azure AI Search (official site)
3. Ba

   Baseplate

   Backend for LLM apps: a hybrid database for data and embeddings, search, an app builder and API endpoints

   Developer platformsAutomation and agents
   FreemiumVisit Baseplate (official site)
4. 

   Cognee

   Open-source memory engine for AI agents that combines vector search, knowledge graphs and relational storage, with a hosted cloud.

   Developer platformsAutomation and agentsResearch and search
   FreemiumVisit Cognee (official site)
5. 

   Crawl4AI

   Open-source web crawler and scraper that turns pages into clean Markdown for LLMs and RAG, with an optional hosted cloud API.

   Developer platformsResearch and searchAutomation and agents
   FreemiumVisit Crawl4AI (official site)
6. 

   Pinecone

   Managed vector database for AI search and RAG, with dense, sparse and full-text indexes, inference and an Assistant API.

   Developer platformsResearch and search
   FreemiumVisit Pinecone (official site)

Singlebase FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from singlebase.io · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

Spot an error? Report an issue with this listing. We also remove a logo or image on the owner's request.