Risk Verification Database is a data management platform from MicroBilt that provides access to comprehensive risk assessment data. It includes credit history, fraud alerts, and background checks so organizations can make informed decisions. This database supports various industries by offering detailed insights into individual and business risk profiles. It allows users to quickly verify potential clients, vendors, or employees against extensive risk data. Key capabilities: credit score analysis fraud detection alerts comprehensive background checks easy integration with existing systems real-time data updates Best for: financial institutions, leasing companies, and employers that need accurate risk verification for informed decision-making.
Risk Verification Database (rVd) from MicroBilt is a highly specialized and comprehensive tool designed to help businesses manage risk associated with electronic payments, particularly ACH and e‑Check transactions. Its primary function is to validate bank account and routing information, identify high‑risk accounts, and detect patterns of prior returned or unpaid transactions, thereby reducing the incidence of failed payments, fraud, and operational loss. The platform offers multiple tiers, such as Advantage Lite, Basic, Advantage, and Plus, allowing organizations to choose the level of verification and historical data analysis that best suits their risk tolerance and operational needs. Real‑time decision-making is supported through REST API integration, batch processing via secure FTP, or web portal lookup, providing flexibility for embedding risk checks directly into onboarding, underwriting, or payment-processing workflows. rVd leverages a vast historical database of billions of transactions, enabling accurate detection of closed accounts, account-structure inconsistencies, and previous return behavior, which helps businesses preemptively mitigate risk and ensure compliance with NACHA WEB Debit Account Validation Rules.
Checks that a bank routing number is valid and active, and whether the account status is closed or invalid.
Provides data on number and dollar value of paid/unpaid returns, average days to clear, and first-seen date for the account.
Available via API, batch uploads, or web portal for individual or large-scale verification workflows.
Allows businesses to set thresholds for Accept, Decline, or Warning based on risk tolerance and account history.
Helps reduce ACH/e-Check returns and supports regulatory compliance.
Verifies the routing number is valid and active.
Ensures the account number fits the known structure used by the issuing institution.
Reports on unpaid returns, number/dollar amount of returned items, and average days to clear.
Captures when the account was first seen in the database to determine account age and usage.
Provides up to two names and two phone numbers tied to the account where available.
Returns Accept, Warning, or Decline based on configured rules and account/transaction history.
Offers tiered versions with varying levels of detail and risk-scanning capability.
Works via API, batch uploads, and web portal for one-off or high-volume processing.
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Risk Verification Database is a data management platform from MicroBilt that provides access to comprehensive risk assessment data. It includes credit history, fraud alerts, and background checks so organizations can make informed decisions. This database supports various industries by offering detailed insights into individual and business risk profiles. It allows users to quickly verify potential clients, vendors, or employees against extensive risk data. Key capabilities: credit score analysis fraud detection alerts comprehensive background checks easy integration with existing systems real-time data updates Best for: financial institutions, leasing companies, and employers that need accurate risk verification for informed decision-making.
Does Risk Verification Database have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
N/A
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Email Address
support@microbilt.comContact
(800) 884-4747Documentation
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