/api/v1/confidence-scoringScore model output confidence
Scores an already-produced model output with the `ConfidenceScorer` engine's no-token path: linguistic + length signal, band classification, and an abstention recommendation. Body: `response` (1..100,000 chars, required), optional `model` and `numSamples` (1..100) — `numSamples` is echoed back as `samplesUsed` only; NO consistency sampling and NO token log-prob analysis happen, because this stateless route wires no LLM query or logprob function. Returns confidence, calibratedConfidence, band, shouldAbstain, riskLevel, recommendation (AUTO_APPROVE | HUMAN_REVIEW | ABSTAIN), reasoning, qualificationText, and lexical hedging/confidence indicator lists. Fails closed: a scoring error still returns 200 with confidence 0 and recommendation ABSTAIN. Used to flag low-confidence outputs for human review. Rate limit 120/min.
Authentication
Send Authorization: Bearer YOUR_API_KEY on every request. Generate API keys at /dashboard/settings/api-keys.
Request body required
Example
{
"response": "string",
"model": "string",
"numSamples": 1
}Schema
{
"application/json": {
"schema": {
"type": "object",
"properties": {
"response": {
"type": "string",
"minLength": 1,
"maxLength": 100000
},
"model": {
"type": "string",
"maxLength": 120
},
"numSamples": {
"type": "integer",
"minimum": 1,
"maximum": 100
}
},
"required": [
"response"
],
"additionalProperties": false
}
}
}Response
200 example
{
"success": true
}All status codes
Code samples
cURL
curl -X POST \
https://evalguard.ai/api/v1/confidence-scoring \
-H "Authorization: Bearer $EVALGUARD_API_KEY" \
-H "Content-Type: application/json" \
-d '{ "response": "string", "model": "string", "numSamples": 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/confidence-scoring", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.EVALGUARD_API_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"response": "string",
"model": "string",
"numSamples": 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/confidence-scoring",
headers=headers,
json={
"response": "string",
"model": "string",
"numSamples": 1
},
)
print(response.status_code, response.json())Go
package main
import (
"context"
"fmt"
"net/http"
"os"
"strings"
)
func main() {
body := strings.NewReader(`{"response":"string","model":"string","numSamples":1}`)
req, _ := http.NewRequestWithContext(context.Background(), "POST", "https://evalguard.ai/api/v1/confidence-scoring", 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)
}