Domain Reputation API
Before you trust a domain, you need more than a yes-or-no answer. Our Domain Reputation API analyzes domain identity, infrastructure signals, categorization, and global security intelligence to help you decide whether a domain is clean, questionable, or risky.
Understand a domain’s trust, risk, and infrastructure
Before you trust a domain, you need more than a yes-or-no answer. Our Domain Reputation API analyzes domain identity, infrastructure signals, categorization, and global security intelligence to help you decide whether a domain is clean, questionable, or risky.
Integration Examples
Get started quickly with ready-to-copy code snippets in your favorite language.
curl -X POST "https://api.thedataclouds.com/domain-reputation" -H "Content-Type: application/json" -H "authkey: KEY" -d '{
"domain": "thedataclouds.com"
}'How Teams Use Domain Reputation
Registration and Customer Onboarding
Detect bad, low-quality, or risky signups already at the initial stage by using domain, level trust signals that are very much connected to email or IP checks.
Email and Sender Evaluation
Do not trust traffic, outreach, or integrations until you have assessed the sender domains you are dealing with. As a result, you will be less likely to suffer a gradual decline in your reputation due to the exposure to risk.
Link and URL Examination
It is only after checking the destination domains that allowing links in messages, profiles, or user-generated content becomes safe.
Partnership and Integration Assessment
Prior to granting the access, make sure that the webhook domains, callback URLs, and third-party endpoints you want to verify are indeed the ones.
How It Works
Send a domain Whatever the domain may be — new, old, trending, or obscure. We analyze multiple trust signals Classification, technology, establishment, and security analysis. You receive a clean verdict You get scores, notifications, and context that can be automated or manually checked.
What Our Domain Reputation API Evaluates
The evaluation of each domain is carried out through various intelligence layers, which results in a very clear picture of the domain, its location and the level of trustworthiness assigned to it. The first step in this process is to classify the domain and determine the context in which it is operating, like the popularity ranking, content classification and risk category signals in case they are available. As a result, you will be able to quickly get the idea whether the domain is well-known, obscure, or is operating without enough visibility to be trusted automatically.
Then the domain is analyzed by its infrastructure to see its hosting location or method. The analysis includes the IP address, ASN, ISP or hosting organization, geographic location, and reverse DNS when available. Infrastructure patterns frequently uncover important signals, such as shared hosting environments, widespread cloud violations, or geographically located areas with transient activity.
The last analysis is on the domain’s identity and lifecycle to determine its level of establishment. You get accurate domain age in days, registrar information, creation and expiration dates, and signals that suggest whether the domain is newly registered. Such signals are of utmost importance in the identification of domains that may appear to be legitimate at a glance but actually lack the history and stability that are typically associated with long-term, trustworthy use.
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