Frequently Asked Questions about LendBetter
Common questions we get from lenders and operators in the fintech ecosystem.
LENDBETTER BY MOBILEWALLA
Vertical AI for digital lending: alternative-data credit scores, fraud signals and real-time enrichment for thin-file customers.
2.2B
unique mobile devices
50B+
signals processed daily
200+
predictive credit & fraud features
2–6 wks
typical API integration
Traditional credit systems rely on static, bureau-heavy data that misses real-time risk and leaves thin-file and new-to-credit consumers unscored. LendBetter is a Vertical AI built for digital lending, plugging alternative behavioural intelligence and AI-powered risk reasoning straight into your underwriting, fraud and credit decisioning workflows.
The Covariate API is a REST API that provides a real-time call to the LendBetter data. Input to the API is country and device ID, the API then returns json-encoded responses that have standard HTTP response codes.
Covariate API Process
Customer Set-Up: Customer requests Covariate API access, Mobilewalla will validate customer account, customer then sets up data ingestion using the API client token and related documentation
Request API Endpoint: The customer applications calls the required dataset endpoint and passes the country, device IDs and client token
Receive Response: Receive the data fields as a response for the device IDs available in the Mobilewalla database
We maintain the most comprehensive data repository in the industry:
Mobilewalla’s accurate, high-quality, privacy compliant data provides the ideal inputs for creating profiles, performing data analysis, training predictive models, and more.
Share a list of device IDs and we'll return LendBetter features and risk scores for your customer set, so you can test the lift against your current model before you integrate.
Common questions we get from lenders and operators in the fintech ecosystem.
Mobilewalla LendBetter is designed for digital lenders, BNPL apps, micro-finance platforms, digital banks, and consumer credit companies operating in emerging markets like India, Southeast Asia, and MENA.
Mobilewalla LendBetter helps lenders identify creditworthy customers with limited credit history, reduce default risk, and prevent fraud using 200+ predictive features derived from mobile device intelligence and geo-spatial mappings.
LendBetter uses device-level metadata, app usage, location-derived insights, SMS-derived financial signals (with SDK), amongst others, always in a privacy-compliant way.
No. LendBetter operates on pseudonymized device identifiers (MAIDs) and does not access personal messages, photos, or contacts.
Yes. Mobilewalla LendBetter strictly complies with regional regulations such as GDPR, DPDP (India), and PDPA (SEA).
Only anonymized features used for model improvement are stored; no personally identifiable information or raw SMS content (if using the SDK) is retained.
An alternative credit score is a predictive score built using behavioural and device-risk indicators that estimate repayment likelihood and default probability for thin-file and new-to-credit (NTC) borrowers. Mobilewalla LendBetter provides this for digital lenders operating in emerging markets of India, APAC, MENA, and LATAM.
Mobilewalla LendBetter includes a set of predictive features that help identify fraud patterns like identity mismatches and high-frequency loan application behaviour.
Yes. The Mobilewalla LendBetter platform is modular: you can integrate only risk, only fraud, or both.
LendBetter reduces acquisition costs by helping digital lenders target high-quality, high-intent audiences and identify likely good borrowers before acquisition. This means more of your marketing spend goes into users who are more likely to convert. Predictive features such as device stability and app affinity help identify a more targeted set for your campaigns.
LendBetter integrates via the Mobilewalla REST API called Covariate, with an option of adding a lightweight SDK (used for optional SMS parsing). Integration typically takes 2–6 weeks.
Yes, a POC is arranged for prospective customers as part of the evaluation process. Typically, we ask prospective customers to use our data samples, which we provide for their customer set (a list of MAIDs). We can also expand to in-production pilots after the POC (with mutually agreed scope and pricing) and a deeper data-science partnership if labelled repayment data is shared with us.
Mobilewalla LendBetter supports India, Indonesia, Philippines, Vietnam, Thailand, Malaysia, UAE, Saudi Arabia, Mexico, and other emerging credit ecosystems.