Protocol analysis, mobile money SMS parsing, and OpenFinance-grade statement APIs for PayNest: Loan & Payment SMS (com.paynest.ultraapps)
PayNest: Loan & Payment SMS automatically reads transaction SMS from banks and mobile money providers on the user's device and transforms them into categorized income, expense, loan, and transfer records. We help product, fintech, and ERP teams take that raw on-device intelligence and expose it as a clean OpenData layer: transaction history APIs, account statement exports, webhook streams, and reconciliation feeds — under user consent, with no cloud lock-in.
In regions where formal Open Banking (PSD2, UK OBIE, India's Account Aggregator framework) has not fully reached the long tail of banks, co-operatives, and mobile money operators, SMS alerts remain the single most reliable transactional signal. PayNest sits on top of that signal and turns it into structured data: sender identity, transaction direction, amount, currency, and reference text. That makes the app a practical bridge between unstructured bank notifications and the structured transaction feeds expected by accounting, lending, and risk platforms.
Our studio specializes in taking this kind of on-device data layer and converting it into a production-grade API surface. We handle protocol analysis of the in-app data model, design REST endpoints that mirror PayNest's sender-grouped account histories, and build reconciliation logic against provider-specific SMS formats (M-Pesa, MTN MoMo, Orange Money, Airtel Money, GTBank, Zenith Bank, HDFC, ICICI, GCash, Maya, and similar).
Crucially, every delivery follows an authorized, consent-first model — matching Google Play's 2024 policy updates around the READ_SMS permission group, which restricts SMS access to apps where SMS handling is core functionality. We document the user-consent flow, minimize retained data, and respect the offline-by-default privacy posture that makes PayNest attractive to users in the first place.
A reproducible parser library that recognizes credit / debit / refund / transfer patterns across banks and wallets. Used to replay PayNest's on-device logic on a server-side queue, for example when a client wants to run daily batch parsing from an encrypted SMS archive exported from the handset.
REST endpoint returning PayNest-style grouped histories keyed by sender (e.g. "HDFC-BK", "MPESA", "GTB"). Supports paging, date filters, and currency filters — same shape a bookkeeping stack expects when syncing multiple accounts for a single freelancer or SME.
Daily, weekly, and monthly aggregates for spend, income, refunds, transfers, and unknown charges. Use case: powering a finance dashboard or pushing monthly P&L rollups into QuickBooks, Xero, or internal ERP.
Excel and CSV exports replicating PayNest's export format, plus OFX for accounting tools. Use case: year-end tax filings for freelancers in Ghana, Nigeria, India, and the Philippines who rely on mobile money as their primary rail.
For every new parsed SMS, an optional signed webhook hits the client's endpoint with {amount, currency, direction, sender, ref_id, occurred_at}. Use case: instant expense alerts and near-real-time cash-flow monitoring for SMBs.
Python and Node.js SDKs with golden-sample SMS fixtures for 20+ issuers, plus a test harness that validates parser output against labelled CSVs. Use case: CI pipelines that must prove parser accuracy before each release.
The table below lists the structured data surfaces we can extract from a PayNest-style SMS pipeline and re-expose as OpenData endpoints. Granularity reflects what the underlying SMS alerts actually contain — we never invent fields that are not present in the source message.
| Data type | Source (screen / signal) | Granularity | Typical use |
|---|---|---|---|
| Transaction events | Bank / wallet SMS alert | Per-message (amount, direction, sender, ref) | Accounting sync, reconciliation, risk scoring |
| Account histories | Grouped by SMS sender (PayNest "accounts") | Per-account, paginated | Multi-account bookkeeping, SMB cash view |
| Income / expense summaries | Daily / weekly / monthly rollups | Aggregated by period and category | Dashboards, budgeting, lender affordability checks |
| Transfer & refund records | Detected SMS sub-types | Per-event with counterparty hints | Dispute workflows, reversal tracking |
| Loan & repayment signals | Lender SMS (EMI, due, disbursal) | Per-event, lender-tagged | Credit scoring, collections reminders |
| Currency & locale metadata | Amount token in SMS | ISO-like currency code (USD, INR, NGN, GHS, PHP…) | Multi-country P&L, FX normalization |
| Export artifacts | Excel / CSV generator | Per account or per range | Tax filing, auditor packs, compliance archives |
A West African SME owner receives payments via MTN MoMo, Orange Money, and a GTBank account. PayNest already parses these SMS locally. We wrap the parsed data in an /accounts/{sender}/transactions API, push hourly rollups to the owner's BI tool, and expose /reports/monthly for accountants. OpenData mapping: equivalent to a pre-PSD2 "aggregated account information service" for rails that have no public Open Banking endpoint.
A freelancer in the Philippines or India uses multiple wallets (GCash, Maya, UPI apps) plus one bank. We consume PayNest's sender-grouped histories, map categories to tax-relevant buckets, and deliver monthly Excel and OFX exports ready for import into QuickBooks, Zoho Books, or a BIR/GST filing workflow. Fields touched: amount, currency, direction, occurred_at, counterparty_hint.
A digital lender in Nigeria or Kenya needs cash-flow evidence for customers without full bank statements. Under explicit user consent, our API returns 90 days of normalized transactions plus income/expense rollups. The lender's scorecard consumes monthly_inflow, volatility, and loan_servicing_signals — all derived from the same on-device SMS pipeline PayNest already uses.
An e-commerce merchant accepts mobile money and needs to reconcile wallet credits against order IDs. Our webhook feed fires on each parsed credit SMS, passing the free-text reference; a reconciliation service matches the reference to the open order and closes it. OpenFinance framing: this is the "confirmation of payment" flow that PSD2 RTS describes, rebuilt for rails that never had it.
A regulated advisor (e.g. in the EU under AML obligations) wants a tamper-evident archive of a client's mobile money movements. We produce signed monthly CSV / PDF statements from the PayNest pipeline, store hashes in an append-only log, and expose /archives/{year}/{month} with access control. This aligns with GDPR Article 5 data-minimization while still giving auditors what they need.
POST /api/v1/paynest/transactions/list
Content-Type: application/json
Authorization: Bearer <USER_CONSENT_TOKEN>
{
"account_sender": "MPESA",
"from_date": "2026-03-01",
"to_date": "2026-03-31",
"direction": ["debit","credit"],
"currency": "KES",
"page": 1,
"page_size": 50
}
// 200 OK
{
"page": 1,
"total": 137,
"items": [
{
"id": "tx_7f3a...",
"occurred_at": "2026-03-14T08:22:11Z",
"direction": "credit",
"amount": 2500.00,
"currency": "KES",
"sender": "MPESA",
"counterparty": "JOHN M.",
"ref": "SFA1B2C3",
"raw_sms_hash": "sha256:..."
}
]
}
GET /api/v1/paynest/reports/monthly?year=2026&month=03
Authorization: Bearer <USER_CONSENT_TOKEN>
// 200 OK
{
"period": "2026-03",
"currency": "NGN",
"income": 842000.00,
"expense": 537210.50,
"refunds": 12000.00,
"transfers": 95000.00,
"unknown": 3400.00,
"by_account": [
{ "sender":"GTB", "in": 500000.00, "out": 310200.00 },
{ "sender":"OPAY", "in": 342000.00, "out": 227010.50 }
]
}
POST https://client.example.com/hooks/paynest
X-PayNest-Signature: t=1712000000,v1=...
Content-Type: application/json
{
"event": "transaction.parsed",
"tx": {
"id": "tx_91c2...",
"direction": "debit",
"amount": 199.00,
"currency": "PHP",
"sender": "GCASH",
"ref": "ORD-88421",
"occurred_at":"2026-04-19T10:41:02+08:00"
}
}
// Expected: 2xx within 5s; otherwise retry with
// exponential backoff for up to 24h.
Idempotency-Key header tied to raw_sms_hash.SMS data is legally sensitive. Our delivery respects, at minimum, the following frameworks: Google Play's 2024 SMS & Call Log policy (READ_SMS permitted only when SMS handling is core functionality, with a declared Permissions Declaration Form), GDPR (lawful basis: explicit consent; Article 5 data-minimization; DSAR support), India's DPDP Act 2023 for users operating on INR rails, and regional equivalents such as Nigeria's NDPA 2023 and Kenya's Data Protection Act 2019.
Practical consequences in our builds: (1) consent is captured on-device before any SMS byte leaves the handset; (2) we retain parsed fields only — raw SMS bodies are hashed and discarded unless the client has a documented legal basis; (3) users can revoke access and trigger a full erase through a single endpoint; (4) all access is audited and the audit log itself is append-only.
A typical PayNest OpenData pipeline has four nodes:
raw_sms_hash, normalizes currency and counterparty, enforces retention windows.PayNest: Loan & Payment SMS targets users where mobile money and bank SMS are the primary transaction rail — notably Nigeria (NGN), Ghana (GHS), India (INR), the Philippines (PHP), plus USD/CAD/EUR diasporas. Its no-login, offline-first design appeals to three user segments: freelancers who want automatic income tracking, small business owners who need daily payment monitoring, and budget-conscious individuals who already receive SMS alerts from their bank or wallet. On the platform side, PayNest is Android-focused (com.paynest.ultraapps) because iOS does not grant third-party SMS read access — which is exactly why the Android SMS parsing niche remains commercially relevant in 2026.
Click any thumbnail to enlarge.
PayNest sits inside a growing category of SMS-first and automatic expense trackers. Teams that integrate with PayNest often need to unify data from other apps in this ecosystem. Below is a non-ranked overview of related apps; each line describes the kind of data the app holds and how it fits the OpenData landscape — not a competitive judgment.
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We are an independent technical services studio focused on App interface integration and authorized API work. Our engineers have multi-year hands-on experience in mobile applications, fintech, and mobile money rails across Africa, South Asia, and South-East Asia. We regularly ship protocol analysis, interface refactoring, OpenData integration, third-party API integrations, automated data scripting, and complete interface documentation for global clients.
Send us the target app (PayNest already confirmed) and your requirements — we'll come back with scope, timeline, and price. Both source-code delivery and pay-per-call API billing are available.
PayNest – Automatic SMS Expense Tracker (package: com.paynest.ultraapps) automatically tracks income, expenses, loans, transfers, and payments using bank and mobile money SMS alerts — no manual entry required. No spreadsheets. No account login. No cloud sync. You install and PayNest quietly turns your SMS alerts into a clear financial overview.
How PayNest works. Whenever a bank or wallet sends a transaction SMS, PayNest reads the message securely on the device, identifies debits, credits, refunds, and transfers, groups transactions by sender into account histories, and builds automatic summaries for income and expenses. Everything happens offline and privately.
Why PayNest stands out. Automatic SMS transaction tracking (no typed amounts), multiple account statements for banks, wallets, and payment platforms in one place, instant income & expense reports (spending, income, refunds, transfers, unknown charges), and daily / weekly / monthly insights. It works fully offline and privately — SMS never leaves the phone. No registration. Export to Excel or CSV for budgeting, accounting, or business reporting. The app is optimized for low battery use and smooth performance on low-end devices.
Built for global payments. PayNest supports multiple currencies and SMS formats including USD, CAD, EUR, INR, PHP, GHS, NGN and more. It works with banks, mobile money services, and digital wallets across multiple countries.
Ideal for. Freelancers tracking income automatically; business owners monitoring daily payments; individuals budgeting monthly expenses; anyone who receives bank or wallet SMS alerts.
Simple & secure. No registration required. No internet needed. No cloud storage. Minimal setup — just open and sync. Track smarter. Spend wiser. Stay in control.