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POST/api/v1/metrics

Ingest OTLP metrics

OTLP metrics ingestion (Bearer eg_ key or session). Requires Content-Type application/json and an OTLP payload with resourceMetrics/resource_metrics. Max 1MB. Returns 201 { accepted, metricNames }. This is an OTLP ingest endpoint, not a generic custom-metric writer.

Authentication

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

Request body required

Example

{
  "resourceMetrics": [
    {}
  ]
}
Schema
{
  "application/json": {
    "schema": {
      "type": "object",
      "properties": {
        "resourceMetrics": {
          "type": "array",
          "items": {
            "type": "object"
          },
          "description": "OTLP/HTTP-JSON resourceMetrics (resource_metrics also accepted)."
        }
      },
      "additionalProperties": true
    }
  }
}

Response

201 example

{
  "success": false,
  "data": {
    "accepted": 0,
    "metricNames": [
      "string"
    ]
  }
}

All status codes

201Ingested.
400(no description)
401(no description)
403Forbidden.
404Not Found.
413Request body too large (max 1MB).
415Content-Type must be application/json.
500Internal Server Error.
503Service Unavailable.

Code samples

cURL

curl -X POST \
  https://evalguard.ai/api/v1/metrics \
  -H "Authorization: Bearer $EVALGUARD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{ "resourceMetrics": [ {} ] }'

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/metrics", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.EVALGUARD_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "resourceMetrics": [
      {}
    ]
  }),
});
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/metrics",
    headers=headers,
    json={
    "resourceMetrics": [
        {}
    ]
},
)
print(response.status_code, response.json())

Go

package main

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

func main() {
	body := strings.NewReader(`{"resourceMetrics":[{}]}`)
	req, _ := http.NewRequestWithContext(context.Background(), "POST", "https://evalguard.ai/api/v1/metrics", 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

400401403404413415500503

Other Monitoring endpoints