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POST/api/v1/embeddings/project

Project embeddings to 2D/3D

Projects a project's stored embeddings to 2-D (only 2-D; there is no 3-D mode) with PCA (default), UMAP, or t-SNE, for the embedding-explorer UI. Body: `projectId` (uuid, required), optional `method` and `limit` (1..2000, default 500). Reads the newest `stored_embeddings` rows for the project. Returns `{method, points:[{id,label,x,y,cluster}], count, varianceExplained, elapsedMs}`; returns an empty `points` array with a `note` when fewer than 3 valid embeddings exist or the table is absent, and 500 PROJECTION_ERROR if the projection throws. Rate limit 10/min.

Authentication

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

Request body required

Example

{
  "projectId": "00000000-0000-0000-0000-000000000000",
  "method": "umap",
  "limit": 1
}
Schema
{
  "application/json": {
    "schema": {
      "type": "object",
      "properties": {
        "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)$"
        },
        "method": {
          "type": "string",
          "enum": [
            "umap",
            "tsne",
            "pca"
          ]
        },
        "limit": {
          "type": "integer",
          "minimum": 1,
          "maximum": 2000
        }
      },
      "required": [
        "projectId"
      ],
      "additionalProperties": false
    }
  }
}

Response

200 example

{
  "success": true
}

All status codes

200Projection.
400(no description)
401(no description)
403Forbidden — the credential is valid but lacks the API-key scope, member role, or plan entitlement this operation requires.
429(no description)
500Internal Server Error — DB_ERROR, PROJECTION_ERROR.

Code samples

cURL

curl -X POST \
  https://evalguard.ai/api/v1/embeddings/project \
  -H "Authorization: Bearer $EVALGUARD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{ "projectId": "00000000-0000-0000-0000-000000000000", "method": "umap", "limit": 1 }'

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/embeddings/project", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.EVALGUARD_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "projectId": "00000000-0000-0000-0000-000000000000",
    "method": "umap",
    "limit": 1
  }),
});
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/embeddings/project",
    headers=headers,
    json={
    "projectId": "00000000-0000-0000-0000-000000000000",
    "method": "umap",
    "limit": 1
},
)
print(response.status_code, response.json())

Go

package main

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

func main() {
	body := strings.NewReader(`{"projectId":"00000000-0000-0000-0000-000000000000","method":"umap","limit":1}`)
	req, _ := http.NewRequestWithContext(context.Background(), "POST", "https://evalguard.ai/api/v1/embeddings/project", 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

400401403429500

Other Evals endpoints