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scopeapi.dev Python Data Analysis
x402
scopeapi.dev Python Data Analysis is a paid API for AI agents from scopeapi.dev, paid per call via x402, $0.07/call, status unknown (last checked 2026-09-14).
Runs Python-powered data analysis on submitted data using a natural language query, returning structured analytical results
Price / call$0.07
Success—
StatusUnknown
How this service works
Python Data Analysis
Output
A JSON object containing a natural-language 'analysis' field with Python-generated structured insights about the submitted data, along with a 'usage' object showing how many model calls and code interpreter calls were made, and the endpoint name.
Example use cases
Sales trend analysis from CSV
“I have monthly sales data as a CSV string. Can you analyze it and tell me which months had the biggest revenue growth and what the overall trend looks like?”
JSON dataset outlier detection
“Here's my user engagement data as a JSON string — can you run an analysis to find any statistical outliers in daily active user counts and explain what might be causing them?”
Summary statistics on raw text data
“I've got a plain-text dataset of survey response scores. Can you compute the mean, median, and standard deviation for me and highlight any unusual values?”
Technical details
Endpoint
POSThttps://scopeapi.dev/data-analysisWhen to prefer
Choose this endpoint when you need to run ad-hoc Python-powered analytical computations on structured or semi-structured data (CSV, JSON, or text) and want a natural language answer back — especially when you don't want to set up your own code interpreter environment. It is particularly well-suited for one-off analytical queries over datasets submitted as strings, where the question can be expressed in plain language and the result should be a readable summary with supporting statistics.
Side effects
- Missing 'query' or 'data' fields in request body returns validation error
- Malformed or unparseable data string may cause analysis failure or empty result
- Unsupported format value outside csv/json/text enum rejected
- Large datasets may exceed token or processing limits
- Ambiguous queries may produce generic or incomplete analysis
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"usage": {
"modelCallsUsed": 1,
"codeInterpreterCalls": 1
},
"analysis": "Structured analysis produced using Python.",
"endpoint": "/data-analysis"
}
}Tags
x402
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