Build AI Agents on Streamtime
Build intelligent AI Agents on top of Streamtime with Peliqan, the leading data foundation for the Agentic AI world.
- No credit card required
- 5-minute setup
- SOC 2 Type II certified
Build AI Agents on top of Streamtime
Build intelligent AI Agents on top of Streamtime, with Peliqan’s AI data foundation:
- Streamtime MCP Server
- Streamtime in n8n AI Agents
- Streamtime in Make
- “Text to SQL” on Streamtime data
- Streamtime RAG with out-of-the-box embeddings (vectors)
- Streamtime Graph RAG
- Query unified 360° data combining Streamtime and other data
Streamtime MCP Server
Publish a Streamtime MCP Server to query data from Streamtime and to take actions in Streamtime such as doing updates and adding new data in Streamtime.
Streamtime in n8n
Build AI Chatbots and AI Agents in n8n that can perform “Text to SQL” to query Streamtime data and perform RAG and Graph RAG on information from Streamtime.
Implement a “Text to SQL” chatbot on Streamtime
Implement an AI Chatbot that can answer analytical data questions on Streamtime data using “Text to SQL”.
Implement a chatbot with RAG on Streamtime
Implement RAG (retrieval-augmented generation) on Streamtime data with an out-of-the-box vector store (embeddings) of all business entities and other information in Streamtime.
Combine Streamtime data with 250+ sources
Combine data from Streamtime with data from 250+ other connectors, and build 360° views of business entities such as customers, leads, products, employees etc.
Feed unified 360° data models to your AI Agents with RAG and “Text to SQL”. Allow your AI Agents to access all business data in one uniform data model.
Prepare your Streamtime data for AI
Access, combine, and report on data from Streamtime and all your SaaS apps instantly. Gain valuable insights by bringing all your business data together in one place within minutes.
Unify, Automate & Activate Your Data
Connect all your SaaS apps, databases, and spreadsheets into one workspace. Build automations, analytics pipelines, and data apps — all in one place.
Frequently Asked Questions
Why do I need Peliqan for my AI ?
Peliqan is an all-in-one data platform with 250+ data connectors (ERP, CRM, Accounting, ATS/HRM, cloud storage etc.) – including Streamtime – and a built-in data warehouse. Peliqan allows you to unleash, prepare and combine your Streamtime data for AI, including relational & non-relational data. Peliqan turns your Streamtime data into 360° views that can be used in AI Agents built in n8n, Make, langChain, langGraph or any other framework. Use Peliqan to create embeddings, store them in a vector store so that your AI chatbots can use RAG and Graph RAG, combined with Text-to-SQL for analytical reasoning. Peliqan is the only platform that allows your AI Agents to combine RAG and Text-to-SQL to apply deep reasoning on your Streamtime data. Use Peliqan to expose any Streamtime as an MCP server to query data and to take actions.
How to build an AI agent for Streamtime ?
There are different ways to build an AI agent that can query data in Streamtime and take actions in Streamtime. For example you can build an AI agent in n8n and use Peliqan as the data foundation. Peliqan will sync your Streamtime data to its built-in data warehouse and allow the AI Agent to perform “Text to SQL” and RAG to answer questions and to perform reasoning on Streamtime data, combined with data from 250+ other sources.
How can I use Streamtime in n8n ?
First sign up for a free trial on Peliqan.io, next connect Streamtime in Peliqan. Once that is done, create an AI agent in n8n and use the Peliqan n8n node in your worflow. Add Peliqan as a “tool” to your AI Agent node, so that the AI agent can query your Streamtime data using Text to SQL.
How to use RAG with Streamtime ?
There are different options to use RAG (retrieval augmented generation) in your AI Agent with Streamtime data. One option is to create a workflow in n8n that fetches all Streamtime data from Peliqan and stores it in Supabase as a vector store, with embeddings created using e.g. OpenAI.
How to build an MCP Server for Streamtime ?
In Peliqan, you can set up API endpoints and expose them as MCP Server. In the API endpoint handler script, you can configure actions to be taken in Streamtime such as querying data, doing lookups, adding new items or performing updates.
How do I build an AI chatbot with “Text to SQL” for Streamtime ?
n8n is a great tool to build AI chatbots that use Text to SQL, to answer any analytical question on your Streamtime data. Any question will be converted by the AI agent into an SQL query, which is executed by Peliqan on the Streamtime data in the data warehouse.
How to create embeddings in a vector store for Streamtime data ?
In order to prepare your Streamtime data for RAG, you need to create embeddings and store them in a vector store. This can be done by creating a workflow in n8n that fetches all Streamtime data from Peliqan and stores it in Supabase as a vector store, with embeddings created using e.g. OpenAI.
All-in-one Data Platform
Built-in data warehouse, superior data activation capabilities, and AI-powered development assistance.
Peliqan trust center
Security, compliance, trust, privacy and availability are our highest priority. If you want more details, if you require a certificate or a copy of Peliqan’s operating procedures, contact us now.
SOC 2 Type 2
SOC 2 Type 2 validates our security controls, ensuring your data is protected by independently audited security measures.
ISO 27001
ISO 27001 certification (in progress) ensures enterprise-grade information security, protecting your business with globally recognized standards.
GDPR
GDPR compliance guarantees EU data protection compliance, keeping PII data secure within EU boundaries.