ORB Intelligence SDKs & Libraries: Integration Guide (2026)

SDKs overview

Software Development Kits (SDKs) and libraries for ORB Intelligence provide developers with structured methods to interact with its company data API. These tools simplify common tasks such as authentication, request formatting, and response parsing, allowing for more efficient integration of firmographic, technographic, and news data into various applications. While ORB Intelligence primarily highlights cURL and Python examples in its official documentation, community-driven efforts often extend support to other programming languages. Utilizing an SDK can reduce boilerplate code and potential errors when building applications that consume ORB Intelligence data, such as CRM enrichment tools, sales intelligence platforms, or market research applications. Developers can find comprehensive details on API endpoints and data models within the ORB Intelligence API reference.

The core functionality of ORB Intelligence's API, accessible via these SDKs and libraries, revolves around company data. This includes retrieving detailed company profiles, performing company searches based on various criteria, and accessing news and event data related to specific organizations. The availability of SDKs streamlines the process of fetching data points like company size, industry classification, technology stack, and recent corporate announcements. This structured access supports use cases ranging from automated data enrichment in business systems to powering analytical dashboards.

Official SDKs by language

ORB Intelligence provides official support and documentation focusing on direct API calls using general-purpose tools like cURL and specific examples for Python. While a dedicated, feature-rich SDK that encapsulates all API endpoints in multiple languages is not explicitly detailed as a distinct product on their developer portal, the documentation offers clear guidance and code snippets for common programming environments. These examples serve as a foundation for developers to integrate the API directly or to build their own wrapper libraries. The primary approach emphasized in the ORB Intelligence documentation involves making HTTP requests and handling JSON responses.

The following table summarizes the primary languages for which ORB Intelligence provides direct API integration examples, which can be considered their official approach to SDK-like functionality:

Developers are encouraged to refer to the official ORB Intelligence API documentation for the most current and detailed code examples and integration instructions. These examples often demonstrate how to authenticate requests using an API key and how to structure queries for different endpoints, such as the Company Data API or the Company Search API.

Installation

For Python, the primary method for interacting with web APIs, including ORB Intelligence, involves using the requests library. This library simplifies sending HTTP requests and handling responses. To install requests, use pip, Python's package installer:

pip install requests

This command typically installs the latest version of the requests library, which is a common dependency for many Python-based API integrations. After installation, you can import requests into your Python scripts to begin making API calls. The requests library documentation provides further details on its usage.

For cURL, which is a command-line tool and library for transferring data with URLs, installation is often not required on most Unix-like operating systems (Linux, macOS) as it comes pre-installed. On Windows, cURL can be downloaded from its official website or installed via package managers like Chocolatey. Once installed, cURL commands can be executed directly from the terminal or command prompt to interact with the ORB Intelligence API.

Quickstart example

This Python example demonstrates how to fetch company data from the ORB Intelligence API using the requests library. It retrieves information for a specific company using its domain name.

import requests
import json

# Replace with your actual ORB Intelligence API key
API_KEY = "YOUR_API_KEY"
BASE_URL = "https://api.orbintelligence.com/v1"

def get_company_data_by_domain(domain):
    headers = {
        "Authorization": f"Bearer {API_KEY}"
    }
    params = {
        "domain": domain
    }
    try:
        response = requests.get(f"{BASE_URL}/company", headers=headers, params=params)
        response.raise_for_status()  # Raise an exception for HTTP errors
        return response.json()
    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 error occurred: {req_err}")
    return None

if __name__ == "__main__":
    target_domain = "google.com"
    company_data = get_company_data_by_domain(target_domain)

    if company_data:
        print(f"Company data for {target_domain}:")
        print(json.dumps(company_data, indent=2))
        # Example of accessing specific data points
        if "name" in company_data:
            print(f"Company Name: {company_data['name']}")
        if "industry" in company_data:
            print(f"Industry: {company_data['industry']}")
    else:
        print(f"Failed to retrieve data for {target_domain}.")

Before running this code, ensure you have replaced "YOUR_API_KEY" with a valid API key from your ORB Intelligence account. You can obtain an API key by signing up for an ORB Intelligence plan, including their free Developer Plan. This script demonstrates a basic API call to the /company endpoint, using the domain parameter to retrieve information about a specific company. The response is parsed as JSON, and error handling is included for common HTTP and network issues.

Community libraries

While ORB Intelligence provides official guidance through cURL and Python examples, the development of community-contributed libraries is a common practice in the API ecosystem. These libraries, often found on platforms like GitHub, are developed and maintained by third-party developers who aim to simplify integration for specific languages or frameworks not officially supported by the API provider.

The existence and maturity of community libraries can vary significantly. They might offer convenient wrappers for different programming languages such as Node.js, Ruby, Go, or PHP, providing idiomatic ways to interact with the ORB Intelligence API. These libraries often handle authentication, request serialization, and response deserialization, reducing the amount of boilerplate code required from developers.

When considering a community library, it is advisable to evaluate its:

• Maintenance Status: Check the last commit date, open issues, and pull requests to gauge active development.
• Documentation: Verify if the library has clear installation and usage instructions.
• Community Support: Look for active forums or discussion channels.
• Compatibility: Ensure it aligns with the current version of the ORB Intelligence API.
• Security Practices: Review if the library handles API keys and sensitive data securely.

Developers seeking community libraries should typically search public code repositories like GitHub using keywords such as "orb intelligence API" or "orbintelligence SDK" combined with their preferred programming language. As these are not officially endorsed, their use is at the developer's discretion, and direct support would typically come from the library's maintainers rather than ORB Intelligence itself. For official and most up-to-date guidance, the ORB Intelligence documentation portal remains the primary resource.