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POST/api/v1/datasets

Create a dataset with optional inline cases

Authentication

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

Request body required

Example

{
  "name": "string",
  "description": "string",
  "projectId": "00000000-0000-0000-0000-000000000000",
  "source": "manual",
  "cases": [
    {
      "input": "string",
      "expectedOutput": "string",
      "metadata": {}
    }
  ]
}
Schema
{
  "application/json": {
    "schema": {
      "type": "object",
      "properties": {
        "name": {
          "type": "string",
          "minLength": 1,
          "maxLength": 200
        },
        "description": {
          "type": "string",
          "maxLength": 2000
        },
        "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)$"
        },
        "source": {
          "default": "manual",
          "type": "string",
          "enum": [
            "manual",
            "csv",
            "ai-generated"
          ]
        },
        "cases": {
          "maxItems": 10000,
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "input": {
                "type": "string",
                "maxLength": 100000
              },
              "expectedOutput": {
                "type": "string",
                "maxLength": 100000
              },
              "metadata": {
                "type": "object",
                "additionalProperties": {}
              }
            },
            "required": [
              "input"
            ],
            "additionalProperties": false
          }
        }
      },
      "required": [
        "name",
        "projectId",
        "source"
      ],
      "additionalProperties": false
    }
  }
}

Response

All status codes

201Dataset created
400Bad Request — VALIDATION_ERROR.
401Unauthorized — no valid credential was presented (AUTH_REQUIRED).
403Forbidden — the credential is valid but lacks the API-key scope, member role, or plan entitlement this operation requires.
404Not Found — NOT_FOUND.
409Conflict — CONFLICT.
429Too Many Requests — USAGE_LIMIT_EXCEEDED.
500Internal Server Error — DB_ERROR.

Code samples

cURL

curl -X POST \
  https://evalguard.ai/api/v1/datasets \
  -H "Authorization: Bearer $EVALGUARD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{ "name": "string", "description": "string", "projectId": "00000000-0000-0000-0000-000000000000", "source": "manual", "cases": [ { "input": "string", "expectedOutput": "string", "metadata": {} } ] }'

TypeScript

// The TypeScript SDK (@evalguard/sdk) exposes TYPED methods — runEval,
// getEval, runSecurityScan, checkFirewall, … — not a generic request().
// For an arbitrary endpoint, call it directly:

const res = await fetch("https://evalguard.ai/api/v1/datasets", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.EVALGUARD_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "name": "string",
    "description": "string",
    "projectId": "00000000-0000-0000-0000-000000000000",
    "source": "manual",
    "cases": [
      {
        "input": "string",
        "expectedOutput": "string",
        "metadata": {}
      }
    ]
  }),
});
console.log(res.status, await res.json());

Python

# The Python SDK (pip install evalguardai) exposes TYPED methods on
# EvalGuardClient — run_eval, get_eval, … — not a generic request().
# For an arbitrary endpoint, call it directly:

import os
import requests

headers = {"Authorization": f"Bearer {os.environ['EVALGUARD_API_KEY']}"}
headers["Content-Type"] = "application/json"

response = requests.request(
    "POST",
    "https://evalguard.ai/api/v1/datasets",
    headers=headers,
    json={
    "name": "string",
    "description": "string",
    "projectId": "00000000-0000-0000-0000-000000000000",
    "source": "manual",
    "cases": [
        {
            "input": "string",
            "expectedOutput": "string",
            "metadata": {}
        }
    ]
},
)
print(response.status_code, response.json())

Go

package main

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

func main() {
	body := strings.NewReader(`{"name":"string","description":"string","projectId":"00000000-0000-0000-0000-000000000000","source":"manual","cases":[{"input":"string","expectedOutput":"string","metadata":{}}]}`)
	req, _ := http.NewRequestWithContext(context.Background(), "POST", "https://evalguard.ai/api/v1/datasets", 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

400401403404409429500

Other Datasets endpoints