What this agent helps with
- Validate customer data imports
- Check financial transaction integrity
- Detect data entry errors
- Monitor data quality metrics
- Ensure compliance with data standards
Tools it uses
This template uses: Database Query, Pandas, Code Executor.
- Database Query: runs read-only queries on your data.
- Pandas: analyses tabular data.
- Code Executor: runs analysis code in a sandbox.
How to use it
- Sign in and open Agent Studio, then choose Templates.
- Select Data Validation Agent and review its instructions and tools.
- Add any data or files it needs, and adjust the instructions to your wording.
- Try a few real questions in chat, then deploy the agent and share it with your team.
Good to know
You control the instructions, the tools and the data this agent can use.
- Database Query: Database Query: runs read-only queries on your data.
- Pandas: Pandas: analyses tabular data.
- Code Executor: Code Executor: runs analysis code in a sandbox.
What the Data Validation agent gives you
Validate customer data imports
Use the Data Validation Agent for validate customer data imports, with instructions and tools you can adjust.
- Ask about validate customer data imports in plain language.
- Results are explained so you can check them.
- Uses Database Query where it helps.
- Review the result before you act on it or share it.
Check financial transaction integrity
Use the Data Validation Agent for check financial transaction integrity, with instructions and tools you can adjust.
- Ask about check financial transaction integrity in plain language.
- Results are explained so you can check them.
- Uses Pandas where it helps.
- Review the result before you act on it or share it.
Detect data entry errors
Use the Data Validation Agent for detect data entry errors, with instructions and tools you can adjust.
- Ask about detect data entry errors in plain language.
- Results are explained so you can check them.
- Uses Code Executor where it helps.
- Review the result before you act on it or share it.
From template to deployed agent
Start from the template, make it yours and deploy when you are happy with how it answers.
- Open Agent Studio: Sign in and choose Templates, then select this agent.
- Review instructions and tools: Check the instructions and the tools it uses: Database Query, Pandas, Code Executor.
- Add your data: Add any files or data the agent should use and adjust the wording.
- Test in chat: Ask real questions, read the answers and refine the instructions.
- Deploy and share: Deploy the agent and share it with your team or use it in a workflow.
How the Data Validation agent answers
How the Data Validation agent is built
An agent template is a set of instructions, tools and example tasks on the Coderva agent platform. You can edit every layer.
- Your data: The files and data you give the agent.
- Tools: Built-in tools the agent can call: Database Query, Pandas, Code Executor.
- Instructions: A prompt that sets the role, tone and rules for this kind of work.
- Answers and history: Explained answers and a conversation history.
Screens you will use
You work with the agent in Agent Studio and in chat.
Chat with the Data Validation agent
Ask a question and read the answer.
- Try: validate customer data imports.
- Try: check financial transaction integrity.
- Ask for the reasoning behind an answer.
Instructions and tools
Adjust how the agent behaves.
- Edit the instructions and tone.
- Tools: Database Query, Pandas, Code Executor.
- Restrict what the agent may do before you deploy.
What teams ask it first
Starting use cases that come with the template. Add your own.
- Validate customer data imports: Use the Data Validation Agent for validate customer data imports, with instructions and tools you can adjust.
- Check financial transaction integrity: Use the Data Validation Agent for check financial transaction integrity, with instructions and tools you can adjust.
- Detect data entry errors: Use the Data Validation Agent for detect data entry errors, with instructions and tools you can adjust.
- Monitor data quality metrics: Use the Data Validation Agent for monitor data quality metrics, with instructions and tools you can adjust.
- Share with your team: Deploy the agent to a link or embed it in a workflow.
- Keep a history: Every conversation is stored so you can review what was asked and answered.
What it connects to
Tools and data this agent uses.
- Database Query
- Pandas
- Code Executor
Control and checks built in
You decide what the agent can see and do, and how its answers are used.
- You control the data: The agent only uses the files, data and tools you give it.
- Cite or say so: The instructions tell the agent to cite its sources and to say when it cannot find an answer.
- Editable and testable: Edit the instructions and test in chat before you share the agent.
What is in the Data Validation agent
- Database Query: Runs read-only queries on your data.
- Pandas: Analyses tabular data.
- Code Executor: Runs analysis code in a sandbox.
- Customisable: Instructions, tone and tools are editable in Agent Studio.
- Deployable: Deploy to a link, share it with your team or use it in workflows.
Frequently asked questions
What is the Data Validation Agent?
Automated data quality checks, validation rules, and anomaly detection. Ensures data integrity and identifies inconsistencies in your datasets. It is a intermediate-level agent template you can customise in Agent Studio.
What does the Data Validation Agent need to work?
It uses Database Query, Pandas, Code Executor. Some tools need your own account or files, which you add when you set the agent up.
Can I change the instructions and tools?
Yes. Everything is editable in Agent Studio before and after you deploy, so you can tune the tone, add tools and restrict what the agent may do.