Pngme African Financial Data Infrastructure API
Pngme African financial data infrastructure REST API for fintech lenders, neobanks, and financial services companies targeting African markets to access mobile money transaction data, SMS financial data, bank account connectivity, and alternative credit scoring signals — enabling credit underwriting, financial health analysis, and financial inclusion for thin-file borrowers in Nigeria, Ghana, Kenya, Uganda, and other African markets. Enables AI agents to manage financial data collection for African borrower profile automation, handle SMS financial data for mobile money transaction extraction automation, access credit score for alternative creditworthiness automation, retrieve transaction categorization for cash flow analysis automation, manage account connection for African bank API aggregation automation, handle income verification for salary and business income automation, access mobile wallet for M-Pesa and MTN Mobile Money automation, retrieve fraud signal for application risk automation, manage consent for user-authorized data sharing automation, and integrate Pngme with African lending, insurance, and savings platforms for financial inclusion automation.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
African fintech data. NDPR, CBN. API key. Africa. Mobile money and SMS financial data with consent requirements.
⚡ Reliability
Best When
An African fintech lender, neobank, or financial services platform wanting AI agents to access mobile money transaction data, SMS financial signals, and alternative credit scoring for thin-file borrowers in Nigeria, Ghana, Kenya, and other African markets.
Avoid When
AFRICAN MARKET SPECIFIC: Pngme is designed for African financial data infrastructure; automated global financial data assumption creates limited coverage outside Nigeria, Ghana, Kenya, Uganda; automated must target Pngme-covered African markets. SMS DATA REQUIRES USER CONSENT: Pngme SMS financial data extraction requires explicit user consent; automated background SMS data collection creates consent violation; automated must implement user consent workflow before SMS data collection. MOBILE MONEY COVERAGE VARIES: Mobile money integration coverage varies by country and provider (M-Pesa, MTN, Airtel Money, etc.); automated universal mobile money coverage assumption creates provider_not_supported; automated must verify coverage for target mobile money provider and country. ALTERNATIVE DATA FOR CREDIT HAS REGULATORY NUANCE: Using alternative SMS/mobile data for credit decisions has different regulatory treatment in each African country; automated uniform credit decision assumption creates jurisdiction-specific compliance risk; automated must implement country-specific credit decision compliance.
Use Cases
- • Accessing alternative credit data from mobile money transactions for African thin-file borrower underwriting agents
- • Extracting financial signals from SMS transaction data for income verification in African markets automation agents
- • Building credit scores from mobile money and bank data for African fintech lending automation agents
- • Connecting to African bank accounts for transaction data aggregation and cash flow analysis automation agents
Not For
- • Western market credit bureau data (Pngme focuses on African markets with alternative data)
- • Formal credit bureau reports (Pngme is alternative data, not traditional Equifax/TransUnion equivalent)
- • Real-time payment processing (Pngme is data infrastructure, not payment rails)
Interface
Authentication
Pngme uses API key authentication. REST API with JSON. San Francisco, CA and Lagos, Nigeria HQ. Founded 2019 by Brendan Playford and Cate Rung. Products: SMS financial data extraction, mobile money connectivity, bank account aggregation, credit scoring, income verification, cash flow analysis. SDKs: Python, JavaScript. Markets: Nigeria, Ghana, Kenya, Uganda, Tanzania. Raised $15M (Series A 2021). Techstars-backed. Competes with Okra and Mono for African open banking data.
Pricing
SF/Lagos. Per-user pricing. African fintech data infrastructure. Nigeria, Ghana, Kenya, Uganda focus.
Agent Metadata
Known Gotchas
- ⚠ SMS CONSENT IS MANDATORY: Pngme SMS financial data extraction requires explicit user consent with clear disclosure; automated background SMS collection creates privacy violation and NDPR non-compliance; automated must implement Pngme consent SDK before any SMS data collection
- ⚠ MOBILE MONEY PROVIDER COVERAGE IS VARIABLE: Pngme integration varies by country and mobile money operator; automated universal M-Pesa/MTN assumption creates provider_not_covered; automated must verify specific provider coverage for target country before deployment
- ⚠ AFRICAN DATA RESIDENCY REQUIREMENTS: Multiple African countries (Nigeria NDPR, Kenya Data Protection Act) have data residency and processing requirements; automated data export to any jurisdiction assumption creates regulatory violation; automated must implement country-specific data handling
- ⚠ CREDIT DECISION REGULATION VARIES BY COUNTRY: Using alternative SMS data for credit decisions has different regulatory treatment per African jurisdiction; automated uniform creditworthiness model creates non-compliant decisions in specific countries; automated must consult in-country legal counsel for credit decision compliance
- ⚠ DATA FRESHNESS DEPENDS ON USER ACTIVITY: Pngme data is event-driven from user device; automated always-fresh data assumption creates stale data for inactive users; automated must implement data freshness checks and trigger re-collection when data is stale
Alternatives
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Scores are editorial opinions as of 2026-03-07.