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SKILL verified MIT Self-run

Didit Face Match

skill-didit-protocol-skills-didit-face-match · by didit-protocol

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Install

$ agentstack add skill-didit-protocol-skills-didit-face-match

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No 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.

View the full security report →

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Reliability & compatibility

Security review passed
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5mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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How agent discovery & health will work →
Are you the author of Didit Face Match? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
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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_image and ref_image are 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:

  1. Register: POST https://apx.didit.me/auth/v2/programmatic/register/ with {"email": "you@gmail.com", "password": "MyStr0ng!Pass"}
  2. Check email for a 6-character OTP code
  3. Verify: POST https://apx.didit.me/auth/v2/programmatic/verify-email/ with {"email": "you@gmail.com", "code": "A3K9F2"} → response includes api_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.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.