Articles
MaxMind minFraud Factors: reason codes, pricing, and use
Factors returns the same score as Score and Insights when the three services are called at the same moment, plus reasons that show what raised or lowered it. The reasons are most useful when a score alone would leave an order inside your accept range.
How to integrate WhatIsMyBrowser into a decision engine
This guide shows how to integrate WhatIsMyBrowser's API into a Decisimo decision engine and add parsed User-Agent data to your decision logic. It covers how to get an API key and create a WhatIsMyBrowser data source in the Decisimo portal. Then, you call that source from a decision flow to flag bot-like User-Agent patterns and other malicious signals.
How to integrate BINLIST.net into a decision engine
Integrate BINLIST.net into a Decisimo decision flow to enrich card BIN data for deterministic decision logic. Create a data source from the template, map the first 6–8 BIN digits, not the full card number, and deploy the flow so external calls run in parallel with low latency.
Who, or What, Makes the Decisions Here?
This article explains who and what make operational decisions, and why control of decision logic matters. It covers how centralized decision engines apply consistent rules, speed processing, reduce errors, and compares platform types.
Companies House API points card for business credit cutoffs
Learn how to score a company from its Companies House profile and charges, interpret the register outcomes, and set cut-offs using your own lending results.
Better decision making with alternative data
Alternative data can improve decision making, but only when the source is reliable and the collection method is clear. This article explains the difference between primary and secondary data, where enrichment helps, and why assisted login data collection creates specific risks for data quality and integrity.
How Decision Making Evolved
Decision logic moved from hard-coded if-then rules to predictive, data-led methods. Early systems were rigid. Requirements moved faster than code, so static rules fell behind. This article explains that shift, the rise of LLMs and agentic AI, and why deterministic, replayable decisions still matter in finance and insurance.
Email address profiling
Email address profiling is a low-cost, high-signal way to assess customer quality. In fintech and insurance, it can support credit risk and actuarial ML models. By extracting username features such as first or last name presence, numbers, nickname or gibberish indicators, and Levenshtein distances, along with domain signals such as MX or WHOIS deliverability, disposable email detection, and provider type, teams can improve scoring, fraud detection, and deliverability decisions.
How to detect Google Suite hosted email address
This article explains how to detect Google Suite-hosted email addresses by checking DNS MX records, and why public data cannot reliably show whether an account is a paid G Suite instance or a legacy free Google Apps account. It then shows how to query MX records through a DNS API and implement the check in Decisimo with a sample data object, data source, and decision flow.
3-minute guide
See the onboarding screens as you provide business context and describe the decision you want to automate. AI uses your inputs and documents to generate a first decision flow, which you review and test before publishing.