Metacert SDKs & Libraries: Integration & Development (2026)

SDKs overview

Metacert, acquired by Forcepoint, no longer offers standalone SDKs or direct API access under its original branding. Instead, the advanced URL classification, phishing detection, and threat intelligence capabilities developed by Metacert are integrated into Forcepoint's comprehensive security products and services. Developers seeking to integrate these specific functionalities will typically interact with Forcepoint's broader API ecosystem and related SDKs, which encompass various security modules, including those derived from Metacert's technology.

Forcepoint's approach centralizes threat intelligence and policy enforcement across its security suite, which includes Cloud Access Security Brokers (CASB), Data Loss Prevention (DLP), and Secure Web Gateway (SWG) solutions. This integration means that while the 'Metacert SDK' as a distinct entity is not publicly available, its underlying technology is accessible programmatically through Forcepoint's unified security platforms. Access usually requires an enterprise agreement with Forcepoint and adherence to their developer program guidelines, which provide access to documentation and SDKs for their integrated products.

Developers should consult the official Forcepoint website or engage with their sales and support channels to understand the specific APIs and SDKs available for integrating threat intelligence and URL classification features. These tools are designed for enterprise environments, enabling custom integrations with security orchestration, automation, and response (SOAR) platforms, SIEM systems, and internal applications requiring real-time threat analysis.

Official SDKs by language

As Metacert's technology is integrated into Forcepoint's larger security portfolio, official SDKs are provided by Forcepoint to interact with their unified security platforms. These SDKs facilitate programmatic access to various security functionalities, including the threat intelligence and URL classification capabilities that originated with Metacert. The availability of specific SDKs can vary based on the Forcepoint product and the integration points offered. Typically, these SDKs support common enterprise programming languages and environments.

Integration with Forcepoint products often leverages RESTful APIs, for which SDKs might be generated or provided to simplify interactions and handle authentication, request formatting, and response parsing. These SDKs are generally designed for enterprise developers integrating security features into complex IT infrastructures.

The following table outlines representative SDKs and integration methods provided by Forcepoint, which incorporate Metacert's original technology. Specific versions and availability depend on your Forcepoint product licensing and deployment.

Installation

Installation of Forcepoint SDKs, which provide access to Metacert's integrated capabilities, typically involves standard package management tools for the respective programming languages. For direct REST API interactions, no installation of a specific SDK is required, but an HTTP client library is commonly used.

Python SDK Installation Example

If a Python SDK is available for a specific Forcepoint product that includes URL classification or threat intelligence, installation is often done via pip:

pip install forcepoint-some-module

Ensure your Python environment is configured correctly, and consider using a virtual environment to manage dependencies. More details can be found on Mozilla Developer Network HTTP documentation for web-based interactions.

Java SDK Installation Example

For Java projects, Forcepoint SDKs are typically distributed as Maven or Gradle dependencies. You would add the necessary dependency to your project's pom.xml (Maven) or build.gradle (Gradle) file:

Maven (pom.xml)

<dependency>
    <groupId>com.forcepoint</groupId>
    <artifactId>forcepoint-sdk-threatintel</artifactId>
    <version>1.0.0</version>
</dependency>

Gradle (build.gradle)

implementation 'com.forcepoint:forcepoint-sdk-threatintel:1.0.0'

After adding the dependency, your build tool will download and include the library in your project.

REST API Integration

For direct REST API usage, no SDK installation is needed. You would use any HTTP client library available in your programming language (e.g., requests in Python, HttpClient in Java, fetch in JavaScript) to send requests to Forcepoint's API endpoints. Authentication often involves API keys or OAuth 2.0 tokens, which would need to be obtained through the Forcepoint developer portal or your enterprise's security administrators. Understanding OAuth 2.0 authorization flows is crucial for secure API integration.

Quickstart example

As Metacert's core technology is integrated into Forcepoint's broader offerings, this quickstart example demonstrates a conceptual interaction with a Forcepoint API that would leverage Metacert-derived URL classification. This example uses Python and assumes a hypothetical Forcepoint Threat Intelligence API endpoint for classifying URLs. Actual API endpoints, authentication mechanisms, and SDKs will vary based on your specific Forcepoint product and licensing.

Prerequisites:

• An active Forcepoint enterprise account with access to the relevant Threat Intelligence API.
• An API key or a mechanism to generate OAuth 2.0 tokens for authentication.
• Python installed with the requests library (pip install requests).

Python Example: Classifying a URL via Forcepoint Threat Intelligence API

This snippet illustrates how to send a URL to a hypothetical Forcepoint endpoint for classification and interpret the response. Replace placeholder values with your actual API endpoint and credentials.

import requests
import json

# --- Configuration --- #
FORCEPOINT_API_BASE_URL = "https://api.forcepoint.com/threatintel/v1"
API_KEY = "YOUR_FORCEPOINT_API_KEY"  # Replace with your actual API key
# For OAuth2, you might need an additional token retrieval step.
# For simplicity, this example assumes an API key for direct access.

HEADERS = {
    "Authorization": f"Bearer {API_KEY}",  # Or "x-api-key": API_KEY
    "Content-Type": "application/json",
    "Accept": "application/json"
}

# --- URL to classify --- #
url_to_classify = "http://malicious-example.com/phish"

# --- API Endpoint and Payload --- #
classify_endpoint = f"{FORCEPOINT_API_BASE_URL}/classify_url"

payload = {
    "url": url_to_classify
}

print(f"Attempting to classify URL: {url_to_classify}")

try:
    response = requests.post(classify_endpoint, headers=HEADERS, data=json.dumps(payload))
    response.raise_for_status()  # Raise HTTPError for bad responses (4xx or 5xx)

    classification_data = response.json()
    print("URL Classification Results:")
    print(json.dumps(classification_data, indent=2))

    # Example of parsing specific data from the response
    if classification_data and "categories" in classification_data:
        print(f"Categories: {', '.join(classification_data['categories'])}")
    if classification_data and "threat_level" in classification_data:
        print(f"Threat Level: {classification_data['threat_level']}")
    if classification_data and "is_phishing" in classification_data:
        print(f"Is Phishing: {classification_data['is_phishing']}")

except requests.exceptions.HTTPError as http_err:
    print(f"HTTP error occurred: {http_err} - {response.text}")
except requests.exceptions.ConnectionError as conn_err:
    print(f"Connection error occurred: {conn_err}")
except requests.exceptions.Timeout as timeout_err:
    print(f"Timeout error occurred: {timeout_err}")
except requests.exceptions.RequestException as req_err:
    print(f"An unexpected error occurred: {req_err}")
except json.JSONDecodeError:
    print(f"Failed to decode JSON response: {response.text}")

This example demonstrates the fundamental structure of interacting with an API to leverage Metacert's integrated capabilities. The response would typically include categories (e.g., 'phishing', 'malware', 'gambling'), a threat score, and other relevant metadata about the URL.

Community libraries

Given Metacert's integration into Forcepoint's enterprise security offerings, there are generally fewer standalone, open-source community libraries specifically branded as 'Metacert SDKs' compared to widely available public APIs. Community efforts tend to focus on creating integrations or wrappers for Forcepoint's broader API ecosystem, rather than Metacert's original standalone technology.

Developers often create custom scripts or small utilities to interact with Forcepoint's APIs for specific use cases, such as automating security policy updates, querying threat intelligence in SIEM systems, or integrating with SOAR playbooks. These community contributions are typically found in:

• GitHub Repositories: Search for Forcepoint API integrations, scripts, or examples. These might be personal projects or contributions from security practitioners.
• Security Forums and Communities: Discussions on platforms like Stack Overflow, Reddit's cybersecurity subreddits, or dedicated security operations forums may occasionally feature shared code snippets or integration guides.
• Vendor-specific Exchange Platforms: Forcepoint, like other enterprise security vendors, may host a community or developer portal where users share custom scripts, templates, or connectors for their products.

When using community-contributed code, it is essential to:

• Verify Authenticity and Security: Ensure the code comes from a reputable source and has been vetted for security vulnerabilities.
• Check Compatibility: Community libraries may not always be up-to-date with the latest API versions or product features.
• Understand Licensing: Be aware of any open-source licenses associated with the code.

For critical enterprise integrations, relying on official Forcepoint documentation and support channels for API usage is recommended. However, community contributions can offer valuable insights and accelerate development for specific, non-critical tasks or proof-of-concept projects. Always refer to the official Forcepoint documentation for the most accurate and up-to-date API specifications and integration best practices.