# Trixie Lasagne Dataset Profiler

> Trixie Lasagne Dataset Profiler is a paid API for AI agents from api.trixielasagne.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).

Generates a deterministic statistical profile of a CSV or Parquet dataset file, returning column-level summaries, data types, and quality metrics

## Facts

- Endpoint: POST https://api.trixielasagne.com/v1/data/profile
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/trixie-lasagne-dataset-profiler-5ff9b9a8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_qdM8VqiuBX7rqlpADDFWO

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability trixie-lasagne-dataset-profiler-5ff9b9a8 -d '<json body>'
```

Example prompt: Can you profile this CSV file for me — I want to know column types, null counts, and value distributions so I understand what's in the dataset before I start cleaning it?

## When to prefer this

Use this endpoint when you need a fast, deterministic, reproducible statistical profile of a tabular CSV or Parquet file — especially useful before data cleaning, pipeline ingestion, or schema validation steps. Prefer this over general-purpose code execution when you want a consistent, structured report without writing custom profiling code.

## Known failure modes

- Unsupported file format (not CSV or Parquet) returns an error
- Malformed or corrupt file may cause parsing failure
- File too large may exceed size limits defined in options
- Invalid metadata JSON string causes request rejection
- Network timeout for very large files

## How this service works

Deterministic dataset profile (CSV/Parquet)

## Output

Returns a structured statistical profile of the uploaded dataset including per-column data types, null/missing value counts, row count, unique value counts, min/max/mean/median for numeric columns, and sample value distributions. Output is deterministic for the same input file.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "file": {
   "type": "string",
   "format": "binary",
   "description": "Dataset file to profile (CSV or Parquet)"
  },
  "metadata": {
   "type": "string",
   "description": "Optional JSON string: {format, options, limits}. See https://github.com/RobFarcrowd/trixie-lasagne/blob/main/API.md"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/trixie-lasagne-dataset-profiler-5ff9b9a8/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.trixielasagne.com](https://www.zero.xyz/host/api.trixielasagne.com/llms.txt)