Skip to content
POST/api/v1/datasets/upload

Parse CSV content for dataset import

Parses CSV and returns structured preview rows. Auto-detects/maps input/expected/metadata columns. Max 5MB, 10K rows. Output is formula-injection sanitized. projectId is required so the membership + editor-role gate applies.

Authentication

Send Authorization: Bearer YOUR_API_KEY on every request. Generate API keys at /dashboard/api-keys.

Request body required

Example

{
  "csvContent": "string",
  "columnMapping": {
    "input": "string",
    "expected": "string",
    "metadata": "string"
  },
  "projectId": "00000000-0000-0000-0000-000000000000"
}
Schema
{
  "application/json": {
    "schema": {
      "type": "object",
      "properties": {
        "csvContent": {
          "type": "string",
          "minLength": 1
        },
        "columnMapping": {
          "type": "object",
          "properties": {
            "input": {
              "type": "string",
              "maxLength": 200
            },
            "expected": {
              "type": "string",
              "maxLength": 200
            },
            "metadata": {
              "type": "string",
              "maxLength": 200
            }
          },
          "additionalProperties": false
        },
        "projectId": {
          "type": "string",
          "format": "uuid",
          "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$"
        }
      },
      "required": [
        "csvContent",
        "projectId"
      ],
      "additionalProperties": false
    }
  }
}

Response

All status codes

200Parsed CSV rows with applied column mapping.
400(no description)
401(no description)
403Forbidden — editor role required.
413Payload too large — maximum CSV size is 5MB.
429(no description)

Code samples

cURL

curl -X POST \
  https://evalguard.ai/api/v1/datasets/upload \
  -H "Authorization: Bearer $EVALGUARD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{ "csvContent": "string", "columnMapping": { "input": "string", "expected": "string", "metadata": "string" }, "projectId": "00000000-0000-0000-0000-000000000000" }'

TypeScript

import { EvalGuard } from "@evalguard/sdk";

const client = new EvalGuard({ apiKey: process.env.EVALGUARD_API_KEY });

const response = await client.request({
  method: "POST",
  path: "/api/v1/datasets/upload",
  body: {
    "csvContent": "string",
    "columnMapping": {
      "input": "string",
      "expected": "string",
      "metadata": "string"
    },
    "projectId": "00000000-0000-0000-0000-000000000000"
  },
});
console.log(response);

Python

from evalguard import EvalGuard
import os

client = EvalGuard(api_key=os.environ["EVALGUARD_API_KEY"])

response = client.request(
    method="POST",
    path="/api/v1/datasets/upload",
    body={
    "csvContent": "string",
    "columnMapping": {
        "input": "string",
        "expected": "string",
        "metadata": "string"
    },
    "projectId": "00000000-0000-0000-0000-000000000000"
},
)
print(response)

Go

package main

import (
	"context"
	"fmt"
	"net/http"
	"os"
	"strings"
)

func main() {
	body := strings.NewReader(`{"csvContent":"string","columnMapping":{"input":"string","expected":"string","metadata":"string"},"projectId":"00000000-0000-0000-0000-000000000000"}`)
	req, _ := http.NewRequestWithContext(context.Background(), "POST", "https://evalguard.ai/api/v1/datasets/upload", body)
	req.Header.Set("Authorization", "Bearer "+os.Getenv("EVALGUARD_API_KEY"))
	req.Header.Set("Content-Type", "application/json")
	resp, err := http.DefaultClient.Do(req)
	if err != nil { panic(err) }
	defer resp.Body.Close()
	fmt.Println(resp.Status)
}

Errors

400401403413429

Other Datasets endpoints