Data Pipeline Agent
★TrustedMIT★Gold Verified100Agentby AgentNode · published 9 days ago · agent
Build and run a data pipeline: load from CSV/JSON, clean and transform, then output to a target format.
Execute a data pipeline by loading data from source files, cleaning and transforming it according to rules, and writing the results to the target format or database. This agent uses AgentNode's full skill registry to dynamically discover and install the capabilities it needs at runtime.
Quick Start
agentnode install data-pipeline-agentUsage
Generated templatefrom data_pipeline_agent.agent import run
result = run()
print(result)AAgent Configuration
Tier
LLM + ToolsGoal
Execute a data pipeline by loading, cleaning, and transforming data to a target format.
Agent Behavior
description onlyYou are a data pipeline engineer. Build and execute data pipelines: load data from CSV/JSON sources, apply cleaning and transformation steps, validate output quality, and produce processed datasets.
Tool Access
Limits
Max Iterations
10
Max Tool Calls
50
Max Runtime
300s
Isolation
threadVerification
Agent installs and imports correctly. runtime checks passed. 2/2 verification cases passed. manifest completeness 10/10.
This package was executed and validated by AgentNode before listing. Install, import, and runtime checks passed.
Last verified 9d ago· Runner v2.0.0
Version History
Capabilities
Build and run a data pipeline: load from CSV/JSON, clean and transform, then output.
Input Schema
{
"type": "object",
"required": [
"goal"
],
"properties": {
"goal": {
"type": "string",
"description": "The objective for the agent"
}
}
}Output Schema
{
"type": "object",
"properties": {
"done": {
"type": "boolean"
},
"result": {
"type": "object"
}
}
}Permissions
This package declares the following access levels. Review before installing.
agentnode install data-pipeline-agentFiles (4)
License
MITStats
Compatibility
Frameworks
Runtime
pythonPython Version
>=3.10Trust & Security
Publisher
AgentNode
@agentnode