B3OS
HomePricing
Dashboard
⌘K
IntegrationsActionsChat with SoloPreneur Data Scientist AI Agent
Chat with SoloPreneur Data Scientist AI Agent

Chat with SoloPreneur Data Scientist AI Agent

Action0.04 USDC on base

Access a specialized AI data scientist agent via SoloPreneur that performs comprehensive data analysis, exploratory data analysis (EDA), statistical modeling, and machine learning. Send your dataset questions and receive actionable insights, including data cleaning recommendations, feature engineering suggestions, predictive modeling, clustering analysis, and business recommendations powered by Gemini Pro. | Input: A natural language prompt or question about your dataset, including details about the data structure, columns, size, and the business problem you're trying to solve | Output: A detailed response from the Data Scientist agent including EDA recommendations, data cleaning steps, feature engineering suggestions, applicable machine learning techniques, model evaluation approaches, and actionable business insights tailored to your specific problem | Use cases: I need to analyze my customer transaction dataset and identify segments for targeted marketing; Help me build a predictive model to forecast customer churn from my sales data; Analyze my e-commerce data to find patterns and provide business recommendations; I want exploratory data analysis and statistical insights on my sensor readings dataset

Trigger with some event
Chat with SoloPreneur Data Scientist AI Agent
Chat with SoloPreneur Data Scientist AI Agent
Action

Error Details

Delete action?

Then chain actions (100+ available)
Press enter or space to select a node. You can then use the arrow keys to move the node around. Press delete to remove it and escape to cancel.
Press enter or space to select an edge. You can then press delete to remove it or escape to cancel.

About

This action will execute the specified operation when your workflow runs.

x402payment-gateddata-sciencemachine-learningai-agentanalysissolopreneurgemini-proedapredictive-modeling

Connect with Wallet

This integration requires a connector to be configured before it can be used in workflows.

wallet logo
Wallet
Configure connector

Input Parameters

(1 field, 1 required)

Your prompt/query for the agent

Output

Payment details from x402 facilitator

Fields

amountPaidAmount paid in smallest token unit
string
assetToken address used for payment
string
networkNetwork where payment was made (e.g., 'base')
string
payerPayer wallet address
string
transactionTransaction hash (may be null if server doesn't return x-payment-response header)
string

The endpoint response data. Access fields with {{nodeId.result.resource.fieldName}}

Response Fields

agentAgent name
string
data
object
successWhether the request was successful
boolean
timestampISO 8601 timestamp
string

Whether the request succeeded

HTTP status code

Discussion

Loading chat...
Status unavailable
ID: x402ep_d5s5issmd1grabglj8hg
1 Input
4 Outputs(1 required)
... active workflows