Scrini AI API & Webhooks Integration Guide for Developers

Discover how Scrini AI's robust API and webhooks enable developers to build powerful, custom integrations for agentic hiring workflows, enhancing recruiter productivity and reducing time to hire.

Overview Integrating Scrini AI's Agentic Core

In the rapidly evolving field of talent acquisition, the demand for smooth, intelligent, and automated processes has never been higher. By March 2026, fragmented HR tech stacks are no longer a viable option. According to recent industry research, over 60% of technical hiring challenges stem from fragmented data across disparate systems, leading to inefficiencies and a poor candidate experience. This is where Scrini AI, an Agentic Hiring OS, steps in, offering an API-first approach to revolutionize your recruitment infrastructure.

This guide is designed for developers, IT teams, and tech-savvy HR operations professionals looking to open the full power of Scrini AI through its solid API and real-time webhooks. We will cover everything from initial authentication to building complex, agentic workflows that integrate smoothly with your existing ATS and other critical systems. You'll learn how to extend Scrini AI's capabilities, automate decision-making, and create a truly unified hiring experience.

An Agentic Hiring OS is defined as a system that uses AI agents to autonomously perform tasks, make decisions, and interact across the hiring lifecycle, from sourcing to onboarding, significantly reducing manual intervention and improving strategic focus for human recruiters. Scrini AI facilitates this through its Pixel-Native OS and Neural Match v4.2 architecture, making API integration crucial for maximizing its potential.

Prerequisites for Scrini AI API Integration

Before diving into the technical implementation, ensure you have the following:

Scrini AI Account: Access to the Scrini AI platform with appropriate permissions.
API Key: A generated API key from your Scrini AI account settings. This key is essential for authenticating your requests. Treat it like a password and keep it secure.
Basic Programming Knowledge: Familiarity with a programming language (e.g., Python, JavaScript, Ruby) and HTTP request methods (GET, POST, PUT, DELETE).
Understanding of JSON: Scrini AI's API primarily communicates using JSON (JavaScript Object Notation) for request and response bodies.
Development Environment: A local development setup capable of making HTTP requests and, for webhooks, exposing a public endpoint for testing.
Existing ATS or HRIS Access: If integrating with an existing system, ensure you have API access to that system as well.

Step-by-Step Guide to Mastering Agentic Workflows

1. Authenticating Your Scrini AI API Access

All requests to the Scrini AI API must be authenticated using your API key. This key should be passed in the Authorization header as a Bearer token.

Example cURL Request for Authentication:

curl -X GET \
  https://api.scrini.ai/v1/jobs \
  -H 'Authorization: Bearer YOUR_SCRINI_AI_API_KEY' \
  -H 'Content-Type: application/json'

Replace YOUR_SCRINI_AI_API_KEY with your actual API key. A successful response indicates correct authentication.

2. Understanding Scrini AI Data Schemas

Scrini AI's API revolves around core objects like Candidate, Job, Application, and Workflow. Each object has a well-defined JSON schema.

Candidate Object: Includes fields for personal details, contact information, resume text, skills, and status.
Job Object: Contains details about the job posting, such as title, description, requirements, location, and associated workflows.
Application Object: Links a Candidate to a Job, tracks application status, and assessment results.
Workflow Object: Represents the sequence of agentic actions and human touchpoints for a specific hiring process.

Referencing the official API documentation for specific field names, data types, and required parameters is crucial for accurate data exchange.

3. Implementing Core API Endpoints

Here are common API operations to kickstart your integration:

Creating a Candidate: Use POST /v1/candidates to add new candidate profiles, often pulled from an external ATS.
Retrieving Job Postings: Use GET /v1/jobs to sync available jobs from Scrini AI to your external systems.
Updating Application Status: Use PUT /v1/applications/{id} to update a candidate's status within a specific job application, triggering subsequent agentic actions.

Example: Creating a New Candidate via API

curl -X POST \
  https://api.scrini.ai/v1/candidates \
  -H 'Authorization: Bearer YOUR_SCRINI_AI_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{ 
    "email": "jane.doe@example.com", 
    "firstName": "Jane", 
    "lastName": "Doe", 
    "phone": "+15551234567",
    "resumeText": "Experienced software engineer with 5 years in AI development..."
  }'

4. Configuring Webhooks for Real-time Events

Scrini AI webhooks allow you to receive real-time notifications when specific events occur within the platform. This is vital for building responsive, agentic workflows.

Common Webhook Events:

candidate.status_updated: Triggered when a candidate's status changes (e.g., from 'New' to 'Screened').
application.created: Fired when a new application is submitted for a job.
assessment.completed: Notifies when a candidate finishes an assessment, such as a Role Assessment or AI Video Interview.

To set up a webhook, you'll provide a URL (your endpoint) in the Scrini AI platform where event payloads will be sent. For security, Scrini AI signs webhook payloads. You should verify this signature on your server to ensure the integrity and authenticity of the incoming request.

Example Python Flask Webhook Listener:

from flask import Flask, request, jsonify
import hmac
import hashlib

app = Flask(__name__)

SCRINI_AI_WEBHOOK_SECRET = "YOUR_WEBHOOK_SECRET_KEY"

@app.route('/scrini-webhook', methods=['POST'])
def scrini_webhook():
    signature = request.headers.get('X-Scrini-Signature')
    payload = request.data

    # Verify webhook signature (CRITICAL for security)
    expected_signature = hmac.new(
        SCRINI_AI_WEBHOOK_SECRET.encode('utf-8'),
        payload,
        hashlib.sha256
    ).hexdigest()

    if not hmac.compare_digest(signature, expected_signature):
        return jsonify({"error": "Invalid signature"}), 403

    event = request.json
    event_type = event.get('eventType')

    if event_type == 'candidate.status_updated':
        candidate_id = event['data']['candidateId']
        new_status = event['data']['newStatus']
        print(f"Candidate {candidate_id} status updated to {new_status}")
        # Your logic here, e.g., update ATS, trigger an email

    return jsonify({"status": "success"}), 200

if __name__ == '__main__':
    app.run(port=5000)

5. Designing an Agentic Workflow Blueprint

The true power of Scrini AI's integrations lies in orchestrating complex, agentic workflows. A well-designed blueprint combines API calls and webhook events to create intelligent automation:

Candidate Ingestion: Your ATS creates a candidate in Scrini AI via API (POST /v1/candidates).
Automated Screening: Scrini AI's Resume Screening and Candidate Ranking & Matching capabilities process the candidate.
Status Update & Trigger: Scrini AI updates the candidate status. This triggers a candidate.status_updated webhook event to your system.
External Action: Your webhook listener receives the event and, based on the new status (e.g., 'Qualified'), triggers an action in your ATS (e.g., move candidate to 'Interview Stage').
Feedback Loop: Your ATS updates Scrini AI via API with interview feedback or scheduling details, which might trigger Scrini AI's Outreach Agent for automated follow-ups.

This iterative process allows for sophisticated, dynamic hiring pipelines that adapt in real-time. This level of End-to-End Automation significantly boosts Recruiter Productivity.

Troubleshooting Common Integration Issues

Why is my API call failing with a 401 error?

A 401 Unauthorized error almost always indicates an issue with your API key. Double-check that:

Your API key is correct and hasn't expired.
The Authorization header is correctly formatted as Bearer YOUR_API_KEY.
There are no leading/trailing spaces or typos in the key.

How do I handle webhook signature verification?

Signature verification is critical for security. Ensure your secret key matches the one configured in Scrini AI. Implement the HMAC-SHA256 algorithm as shown in the Python example. If signatures don't match, investigate payload manipulation or a mismatch in secret keys.

What if my webhook events aren't being received?

This can be due to several factors:

Incorrect Endpoint URL: Verify the URL configured in Scrini AI is publicly accessible and correct.
Firewall/Network Issues: Ensure your server's firewall isn't blocking incoming POST requests from Scrini AI.
Server-Side Errors: Check your webhook listener's logs for errors processing the incoming request.
Event Configuration: Confirm you've subscribed to the correct event types within Scrini AI.

Are there rate limits to consider?

Yes, Scrini AI's API has sensible rate limits to ensure fair usage and system stability. If you hit a rate limit, you'll receive a 429 Too Many Requests error. Implement retry logic with exponential backoff in your integration to handle these gracefully. Consult the API documentation for specific rate limit details.

Next Steps for Advanced Integrators

Once you've mastered the basics, consider these advanced integration patterns:

Idempotency: Design your API calls to be idempotent, meaning sending the same request multiple times has the same effect as sending it once. This is crucial for handling network retries without creating duplicate data.
Bulk Operations: For high-volume data synchronization, use any available bulk API endpoints to optimize performance and reduce API call count.
Custom Event Triggers: Explore creating custom events within Scrini AI that can be used to trigger webhooks or other actions in your integrated systems.
Expanding Capabilities: Integrate other Scrini AI capabilities like AI Phone Screening results or Liveness Verify data into your workflows.

Conclusion

Integrating Scrini AI's API and webhooks is a strategic move for any organization committed to building a modern, efficient, and intelligent hiring ecosystem. By embracing this technical flexibility, you transform recruitment from a series of disjointed tasks into a cohesive, agentic workflow that significantly reduces time-to-hire and enhances the candidate experience. Developers and IT teams are the architects of this transformation, enabling HR to focus on strategic talent acquisition rather than administrative burdens. According to a 2025 Deloitte study, companies using solid API integrations can reduce time-to-hire by an average of 30%, a direct result of the efficiency gained through intelligent automation.

Ready to build the future of hiring? Explore Scrini AI's full range of capabilities and start building your custom integrations today.

Ready to power up your talent acquisition? Book a Demo to see Scrini AI in action or Sign Up to start building your agentic workflows.