Install
$ agentstack add skill-didit-protocol-skills-didit-face-match ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ● Network access Used
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Didit Face Match API
Overview
Compares two facial images to determine if they belong to the same person. Returns a similarity score (0-100).
Key constraints:
- Supported formats: JPEG, PNG, WebP, TIFF
- Maximum file size: 5MB per image
- If multiple faces in an image, the largest face is used for comparison
- Both
user_imageandref_imageare required
Capabilities: Similarity scoring, age estimation, gender detection, face bounding boxes, configurable decline threshold, optional image rotation for non-upright faces.
API Reference: https://docs.didit.me/standalone-apis/face-match Feature Guide: https://docs.didit.me/core-technology/face-match/overview
Authentication
All requests require x-api-key header. Get your key from Didit Business Console → API & Webhooks, or via programmatic registration (see below).
Getting Started (No Account Yet?)
If you don't have a Didit API key, create one in 2 API calls:
- Register:
POST https://apx.didit.me/auth/v2/programmatic/register/with{"email": "you@gmail.com", "password": "MyStr0ng!Pass"} - Check email for a 6-character OTP code
- Verify:
POST https://apx.didit.me/auth/v2/programmatic/verify-email/with{"email": "you@gmail.com", "code": "A3K9F2"}→ response includesapi_key
To add credits: GET /v3/billing/balance/ to check, POST /v3/billing/top-up/ with {"amount_in_dollars": 50} for a Stripe checkout link.
See the didit-verification-management skill for full platform management (workflows, sessions, users, billing).
Endpoint
POST https://verification.didit.me/v3/face-match/
Headers
| Header | Value | Required | |---|---|---| | x-api-key | Your API key | Yes | | Content-Type | multipart/form-data | Yes |
Request Parameters (multipart/form-data)
| Parameter | Type | Required | Default | Constraints | Description | |---|---|---|---|---|---| | user_image | file | Yes | — | JPEG/PNG/WebP/TIFF, max 5MB | User's face image to verify | | ref_image | file | Yes | — | Same as above | Reference image to compare against | | face_match_score_decline_threshold | integer | No | 30 | 0-100 | Scores below this = Declined | | rotate_image | boolean | No | false | — | Try 0/90/180/270 degree rotations to find upright face | | save_api_request | boolean | No | true | — | Save in Business Console Manual Checks | | vendor_data | string | No | — | — | Your identifier for session tracking |
Example
import requests
response = requests.post(
"https://verification.didit.me/v3/face-match/",
headers={"x-api-key": "YOUR_API_KEY"},
files={
"user_image": ("selfie.jpg", open("selfie.jpg", "rb"), "image/jpeg"),
"ref_image": ("id_photo.jpg", open("id_photo.jpg", "rb"), "image/jpeg"),
},
data={"face_match_score_decline_threshold": "50"},
)
const formData = new FormData();
formData.append("user_image", selfieFile);
formData.append("ref_image", referenceFile);
formData.append("face_match_score_decline_threshold", "50");
const response = await fetch("https://verification.didit.me/v3/face-match/", {
method: "POST",
headers: { "x-api-key": "YOUR_API_KEY" },
body: formData,
});
Response (200 OK)
{
"request_id": "a1b2c3d4-...",
"face_match": {
"status": "Approved",
"score": 80,
"user_image": {
"entities": [
{"age": 27.63, "bbox": [40, 40, 100, 100], "confidence": 0.717, "gender": "male"}
],
"best_angle": 0
},
"ref_image": {
"entities": [
{"age": 22.16, "bbox": [156, 234, 679, 898], "confidence": 0.717, "gender": "male"}
],
"best_angle": 0
},
"warnings": []
},
"created_at": "2025-05-01T13:11:07.977806Z"
}
Status Values & Handling
| Status | Meaning | Action | |---|---|---| | "Approved" | Score >= threshold | Faces match — proceed | | "Declined" | Score Security best practice: Only store the status and score. Minimize biometric image data on your servers. Image URLs (in workflow mode) expire after 60 minutes.
Score Interpretation
| Score Range | Interpretation | Action | |---|---|---| | 90-100 | Very high confidence — same person | Auto-approve | | 70-89 | High confidence — likely same person | Approve (default threshold 30) | | 50-69 | Moderate — possible match | Consider manual review | | 30-49 | Low — likely different people | Declined at default threshold | | 0-29 | Very low — different people | Declined |
Utility Scripts
export DIDIT_API_KEY="your_api_key"
python scripts/match_faces.py selfie.jpg id_photo.jpg
python scripts/match_faces.py selfie.jpg id_photo.jpg --threshold 50 --rotate
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: didit-protocol
- Source: didit-protocol/skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.