Getting structured loan data out of PakCredit

Every approved PakCredit loan leaves a server-side trail: a principal between PKR 2,000 and PKR 50,000 (per the app's Play listing), a markup figure, a repayment schedule that runs no longer than 90 days, and a Key Fact Statement locked to the borrower's CNIC-verified profile. That ledger is held by Visioncred Financial Services (Private) Limited, the SECP-licensed non-bank finance company behind the app. When a lender, a credit bureau, an aggregator or a buyer of the loan book needs that record in a system of their own, the question is how to reach it under authorization — and that is the work this brief describes.

The bottom line for an integrator: PakCredit's value is the per-borrower loan object, and it sits behind an OTP-based login rather than an open feed. The route we would actually run here is authorized analysis of the app's own authenticated traffic against a consenting account, which reaches the loan, KFS and repayment surfaces directly and survives the absence of any borrower-facing export. The downstream bank and wallet legs — where money actually moves — are where SBP open banking and Raast become relevant for reconciliation.

What an account holds

The surfaces below come from the app's own description, its terms page, and the screens shown on its store listing. Granularity is described as we observe it; exact field names are confirmed against a consenting account during the build.

Authorized routes into the loan ledger

Three routes genuinely apply to PakCredit. Each is described by what it reaches and how durable it is, with the access side arranged with you as part of the engagement.

Consented interface integration of the app's traffic

We analyse the authenticated session of the PakCredit app against a consenting account, then implement the loan-detail, KFS and repayment calls as a clean interface. This reaches the full per-borrower object and does not depend on PakCredit publishing anything. It is the most complete path and the one we would build first; the cost is maintenance when the app's screens shift.

User-consented credential access

Where the data subject is in the loop — a borrower authorizing their own record, or the operator authorizing a managed pull — the same calls run under that explicit consent, with the consent itself logged. This is the cleanest footing for anything that touches identity fields.

Settlement-rail data via SBP open banking

PakCredit disburses to e-wallets and bank accounts and collects repayments the same way. For the money legs, the State Bank of Pakistan open banking framework and the Raast instant-payment rail give an authorized way to see settlement on the bank side. It carries the money movement, not the loan terms — those live only inside PakCredit — so it complements the first route rather than replacing it.

For most buyers the first route carries the work: it is the only one that returns the loan terms and the repayment timeline together. We bring in the settlement-rail data when reconciliation against the payout account matters, and lean on explicit consent whenever identity fields are in scope.

Operating inside Pakistan's nano-lending rules

This is a regulated lender, and the rules shape the integration more than the technology does. Visioncred is supervised by the SECP, which has issued a run of digital nano-lending circulars — Circular No. 10 of 2023 through Circular No. 12 of 2024 — that set hard lines worth designing around. A Key Fact Statement must be shown before disbursement, in English and Urdu and by screenshot and SMS, covering the approved amount, annual rate, tenor, dated installments and every fee. Digital lenders are barred from reading the borrower's phonebook or photo gallery even with consent, and may contact only guarantors the borrower specifically authorized. Borrower data must stay on infrastructure inside Pakistan. SECP has separately capped nano-loan APR at ten times the policy rate; PakCredit's own listing quotes a 3.65% to 274% band, which is why we read the per-loan KFS rate rather than trusting that range.

The dependable basis for any integration here is consent — the borrower's, or the operator's authorization over its own book — recorded and revocable, with the data minimized to the loan and repayment objects unless identity is genuinely needed. Pakistan's Personal Data Protection Bill 2023 would add a statutory layer and a National Commission for Personal Data Protection, but it remains a draft that has not yet come into force; we treat it as where the rule is heading, not as today's law. We work under NDA where a client needs it, keep consent and access logs, and retain only what the use case requires.

What we plan around on this build

A few specifics about PakCredit change how the integration is engineered. These are things we handle, not hurdles put to you.

• The contacts prohibition. Because SECP forbids touching the address book or gallery, we scope the extraction to the loan, repayment and KYC objects and carry only the single authorized guarantor number. Nothing we ship reads device contacts or media.
• Short OTP sessions. Login is a mobile-number OTP exchange, not a password, so the session is short-lived. We build the sync around token refresh and a re-auth-and-retry on a 401 rather than assuming a long cookie.
• In-country storage. Since borrower data has to stay on infrastructure inside Pakistan, the hosted option keeps storage and processing in-region, and the pipeline is designed so nothing is staged on offshore cloud.
• Bilingual KFS capture. The Key Fact Statement renders in English and Urdu and goes out by screenshot and SMS. We map the structured KFS fields rather than scraping the rendered summary, so loan terms survive a layout change.
• Front-end drift. When PakCredit updates its screens, a checked-in fixture set flags the change before it reaches your data, so a quiet UI revision does not silently corrupt the feed.

The handover

What you receive is tied to PakCredit's actual surfaces, not a generic kit.

• An OpenAPI/Swagger specification for the loan-detail, repayment-schedule, KFS and KYC-status calls as observed.
• A protocol and auth-flow report covering the OTP login, the bearer-token exchange, and the refresh chain.
• Runnable source for the key endpoints in Python and Node.js, ready to drop into a service.
• Automated tests backed by recorded fixtures, so a PakCredit-side change is caught early.
• Interface documentation plus a normalized loan schema (below) so the data lands consistent.
• Compliance and data-retention guidance aligned to SECP localization and the contacts rule — CNIC stored only as a hash, in-region processing, consent records kept.

A loan-detail call, sketched

Illustrative only — the path and field names are confirmed against a consenting account during the build, not guessed from this sketch. It shows the shape: OTP-derived session, a bearer call for one loan, and the PKR fields an integrator actually wants.

# PakCredit onboards by mobile number; login is an OTP exchange, not a password.
import requests

BASE = "https://api.pakcredit.example"   # resolved from the app's traffic during analysis

def session_from_otp(msisdn, code):
    r = requests.post(f"{BASE}/v1/auth/otp/verify",
                      json={"phone": msisdn, "code": code})
    r.raise_for_status()
    return r.json()["access_token"]       # short-lived; refresh on expiry

def loan_detail(token, loan_id):
    r = requests.get(f"{BASE}/v1/loans/{loan_id}",
                     headers={"Authorization": f"Bearer {token}"})
    if r.status_code == 401:
        raise SessionExpired()             # re-auth via OTP and retry once
    r.raise_for_status()
    d = r.json()
    return {
        "principal_pkr": d["disbursed_amount"],
        "markup_pkr":    d["total_markup"],
        "apr_pct":       d["annual_rate"],     # read from KFS, not the listing band
        "tenor_days":    d["term_days"],       # capped at 90
        "due_date":      d["repayment_due"],
        "status":        d["state"],           # active | repaid | overdue
    }

Normalizing the loan object

Different consumers want one consistent record. We normalize each loan to a small object; the values here mirror the worked example PakCredit publishes on its own listing — a PKR 5,000 principal over 90 days at 10.95%, giving PKR 135 markup and PKR 5,135 to repay.

{
  "borrower_ref": "cnic-sha256",            // a hash, never the raw CNIC
  "lender": "Visioncred Financial Services",
  "loan": {
    "principal_pkr": 5000,
    "markup_pkr": 135,
    "apr_pct": 10.95,
    "tenor_days": 90,
    "due_at": "2026-09-17",
    "rails": ["bank", "wallet"],            // disbursed to either
    "status": "active"
  },
  "kfs_confirmed": true                     // Key Fact Statement captured at disbursement
}

Screens we mapped against

The store screenshots below are the public reference for the surfaces named above. Tap to enlarge.

How this brief was put together

Drafted on 19 June 2026 from the app's Google Play listing and its published terms, the SECP digital nano-lending circulars and approved-app whitelist, and public material on Pakistan's open banking direction. The APR band, loan amounts and the worked repayment example are taken from PakCredit's own listing; the consent, KFS and localization rules from SECP. Primary sources opened:

• PakCredit on Google Play — loan amounts, tenor, APR band, the worked example
• SECP Circular No. 12 of 2024 — Requirements for NBFCs in Digital Lending
• SECP whitelist of licensed digital-lending apps
• Open Banking in Pakistan — SBP framework overview

Compiled by the OpenBanking Studio integration desk · 19 June 2026.

Other Pakistani lending apps in the same space

PakCredit sits in a crowded SECP-supervised nano-lending segment. A consumer or business integrating one of these usually wants the same loan-and-repayment shape across several, which is why a single normalized object is worth building once.

• Barwaqt — high-volume nano-loan app with a similar short-tenor borrower ledger.
• Daira — digital lending by Finleap Financial Services, comparable loan and repayment records.
• Sahara - Fast Loan — Awami Financials nano-loan product aimed at small immediate credit.
• SmartQarza — app-based short-term lending with a per-loan KFS and schedule.
• Paisayaar — personal online loan product in the same SECP whitelist.
• QarzMitra — Fintech Gharana nano-loan service with equivalent account state.
• JazzCash — mobile wallet whose micro-loan feature and settlement rail overlap the payout side.
• Easypaisa — wallet-plus-credit platform widely used as a disbursement and repayment endpoint.

Questions integrators ask about PakCredit

PakCredit lists an APR band of 3.65% to 274% — can a real per-loan rate be read?

Yes. The listing band is a marketing range; the rate that matters sits in the per-loan Key Fact Statement shown before disbursement. We capture the KFS fields for each loan — approved amount, the actual annual rate, tenor and the dated installment amounts — rather than carrying the wide listing band into your records.

How do you stay clear of the SECP rule against reading a borrower's contacts?

SECP bars digital lenders from touching the phonebook or photo gallery even where the borrower has consented. The extraction we build is scoped to the loan, repayment and KYC objects plus the single guarantor field the borrower authorized; nothing in it reads the device address book or media.

Which regulator covers PakCredit, and does SBP open banking come into it?

PakCredit's lender, Visioncred Financial Services, is an SECP-licensed NBFC working under the SECP digital nano-lending circulars. The State Bank of Pakistan open banking framework and Raast govern the banks and wallets a loan disburses into, which is where they matter for reconciling disbursement and repayment events against the loan ledger.

If we only need repayment-status events and not full KYC, can the work be scoped down?

Yes. We can limit the integration to the repayment schedule and loan-status objects and leave identity capture out entirely. A smaller surface is less to maintain and still runs on the same one to two week cycle.

Starting the build

The build lands as runnable source for the OTP-auth and loan-detail calls, the OpenAPI spec, the tests and the docs — priced from $300 and paid only once it works the way you need. If you would rather not host anything, call our endpoints instead and pay per call, with no upfront fee. Either path runs on a one-to-two-week cycle. All we need to begin is that the app is PakCredit and a line on what you want from its data; access and the compliance side are arranged with you as the work starts. Tell us what you need at /contact.html.