> ## Documentation Index
> Fetch the complete documentation index at: https://sambanova-systems.mintlify.site/docs/llms.txt
> Use this file to discover all available pages before exploring further.
# Datascience Agent And Report
> The data science agent analyzes datasets, generates visualizations, and produces comprehensive reports. This fire-and-forget endpoint submits a prompt and returns the final report in a single call.
## OpenAPI
````yaml https://raw.githubusercontent.com/sambanova/agents/refs/heads/main/chat-sambanova-agent-api-spec.yaml post /agent/datascience
openapi: 3.1.0
info:
title: Sambanova Agents Service
description: Service for Sambanova agents
version: 0.0.1
termsOfService: https://sambanova.ai/cloud-end-user-license-agreement
contact:
email: info@sambanova.ai
name: SambaNova information
license:
name: Apache 2.0
url: https://www.apache.org/licenses/LICENSE-2.0.html
servers:
- url: https://chat.sambanova.ai/api
security:
- api_key: []
externalDocs:
description: Find out more in the official SambaNova docs
url: https://docs.sambanova.ai/cloud/api-reference/overview
paths:
/agent/datascience:
post:
tags:
- Subagents
summary: Datascience Agent And Report
description: >
The data science agent analyzes datasets, generates visualizations, and
produces comprehensive reports. This fire-and-forget endpoint submits a
prompt and returns the final report in a single call.
operationId: datascience_agent_and_report_agent_datascience_post
requestBody:
content:
multipart/form-data:
schema:
$ref: '#/components/schemas/DatascienceAgentRequest'
required: true
responses:
'200':
content:
application/json:
schema:
$ref: '#/components/schemas/DataScienceAgentHTMLResponse'
description: Successful Response
'422':
description: Validation Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPValidationError'
security:
- api_key: []
components:
schemas:
DatascienceAgentRequest:
title: DatascienceAgentRequest
type: object
description: Request for data science agent json object
additionalProperties: false
properties:
files:
description: One or more files to be analyzed.
items:
format: binary
type: string
title: Files
type: array
prompt:
description: The main prompt for the data science agent.
title: Prompt
type: string
required:
- prompt
- files
examples:
- prompt: Perform exploratory data analysis on this dataset
files: '@dataset.csv'
DataScienceAgentHTMLResponse:
type: object
title: Data Science Agent HTML Response
description: Generated HTML report for exploratory data analysis (EDA)
additionalProperties: false
properties:
content_type:
title: content_type
description: MIME type of the generated report (should be 'text/html')
type: string
example: text/html
title:
title: title
description: Title of the analysis report
type: string
example: Data Science Analysis Report
html:
title: html
description: Full HTML content of the generated report
type: string
example: |
Data Science Analysis Report
Exploratory Data Analysis Report
Dataset Overview
The dataset contains 1,000 rows and 15 columns...
Statistical Summary
Visualizations
Key Findings
- Strong correlation between features X and Y
- Missing values detected in column Z
required:
- content_type
- title
- html
HTTPValidationError:
title: HTTPValidationError
type: object
properties:
detail:
items:
$ref: '#/components/schemas/ValidationError'
title: Detail
type: array
ValidationError:
properties:
loc:
items:
anyOf:
- type: string
- type: integer
title: Location
type: array
msg:
title: Message
type: string
type:
title: Error Type
type: string
required:
- loc
- msg
- type
title: ValidationError
type: object
securitySchemes:
api_key:
type: http
description: SambaNova API Key
scheme: bearer
bearerFormat: apiKey
````