Reaching the loan lifecycle inside Fauri Cash

Pakisnova Microfinance runs Fauri Cash under a SECP non-banking finance company license, and its Play Store entry sits on the regulator's whitelist of approved digital lending apps. That regulatory framing matters here, because it fixes what the backend has to hold: a per-borrower loan offer, a disclosed Key Fact Statement, a repayment schedule, and a disbursement record tied to an external payment rail. None of that is visible to a third party from the outside, and that is the gap this brief is about — getting those records out in a structured, repeatable form.

The route we would run is authorized protocol analysis of the app's own client-to-server traffic, captured under the account holder's authorization, with a consenting-borrower credential flow as the cleaner production variant. Where the app surfaces a downloadable statement or KFS artifact, that becomes a reconciliation fallback rather than the primary feed. The rest of this page maps the data, the routes, what we hand over, and the SECP-specific handling the build accounts for.

What the account actually holds

These are the surfaces a Fauri Cash account exposes once a borrower is authenticated. The granularity column reflects how the app describes each one; where a field is account-specific rather than a fixed product value, the mapping treats it as per-offer.

How we reach it

Authorized protocol analysis

We capture the app's client-to-server calls under the account holder's authorization, recover the request and response shapes for offer, schedule, ledger and disbursement reads, and rebuild them as clean client functions. This reaches everything the app itself reads. Effort is moderate; durability depends on the app's release cadence, which is why a re-validation pass is part of maintenance rather than a one-off. We set up the capture environment and onboarding with you.

Consented borrower access

For production, a flow driven by a consenting borrower's own credentials is the cleaner path: the data subject authorizes the read, the session is scoped to their own loan record, and consent is logged. This is the route we would recommend running day to day for Fauri Cash, because borrower-by-borrower consent matches how the SECP framework wants the data handled and keeps the pull narrow. Protocol analysis stays the discovery and resilience layer underneath it.

Native artifact fallback

Where the app or its KFS delivery produces a downloadable statement, that artifact is a reconciliation check against the live reads — useful for verifying the disclosed rate and schedule, not a substitute for the structured feed.

Net judgment: build on consented borrower access as the production feed, keep protocol analysis as the layer that discovers and re-validates the surfaces, and use the KFS artifact to cross-check disclosed terms. We would not lead with the artifact route, since it lacks the per-installment granularity collections work needs.

What lands in your hands

Each deliverable is tied to a real Fauri Cash surface, not a template:

• An OpenAPI specification covering the offer, schedule, ledger and disbursement reads, modelled on the recovered request and response shapes.
• A protocol and auth-flow report — the login, token issuance and refresh chain, plus how session scope binds to a single borrower's loan record.
• Runnable source for the key endpoints in Python or Node.js, including the per-offer normalizer that folds the bilingual KFS into one record.
• Automated tests against captured fixtures, covering arrears flags, partial repayments and a disbursement-to-installment reconciliation.
• Interface documentation and data-retention guidance written for the SECP localization and minimization rules below.

A worked read

Illustrative shape recovered during a build of this kind — field names are normalized, not lifted verbatim, and a real engagement confirms them against live traffic.

POST /v1/auth/refresh
  { "refresh_token": "<rotating>" }
  -> 200 { "access_token": "<jwt>", "expires_in": 1800 }

GET /v1/loans/active           Authorization: Bearer <jwt>
  -> 200 {
       "loan_id": "FC-...",
       "offer":   { "principal_pkr": 3000, "tenor_days": 120, "apr_pct": 12.0 },
       "kfs":     { "lang": ["en","ur"], "disclosed_at": "..." },
       "schedule":[ { "seq": 1, "due": "2026-07-18",
                      "principal_pkr": 250.0, "interest_pkr": 9.86, "fee_pkr": 0 } ],
       "ledger":  { "outstanding_pkr": 2750.0, "in_arrears": false },
       "disbursement": { "amount_pkr": 3000, "rail_ref": "...", "at": "..." }
     }

# normalizer reconciles offer.apr_pct against the schedule's
# per-installment interest, and flags any KFS/booked-term drift
def reconcile(loan):
    booked = sum(i["interest_pkr"] for i in loan["schedule"])
    return abs(booked - implied_interest(loan["offer"])) < TOLERANCE

Errors deserve as much care as the happy path: an expired access token returns a 401 that the client distinguishes from a revoked-consent state, since the two need different recovery — one refreshes, the other stops and re-asks the borrower.

Where this gets used

• A lender-of-record or aggregator syncing a borrower's outstanding balance and arrears flag into its own credit view.
• A collections desk forecasting due dates and partial-payment patterns from the per-installment schedule.
• A funding partner matching each disbursement reference against credits landing on a bank or wallet rail.
• An audit workflow reconciling the disclosed KFS rate against the booked schedule loan by loan.

Consent and the SECP frame

Pakistan has no open-banking account-information regime to ride, so the dependable basis here is the borrower's own authorization to access their own loan record — logged, scoped and revocable. The SECP digital lending standards set the surrounding rules: a Key Fact Statement is mandatory before disbursement, delivered as video or audio plus a screenshot and an email or SMS in both English and Urdu. The same standards bar lenders from accessing a borrower's contacts or photo gallery even where consent is given, and prohibit storing borrower data on cloud infrastructure outside Pakistan.

We operate inside those lines: in-region storage, a pull limited to loan-lifecycle fields, consent records kept against each read, and an NDA where the engagement needs one. Data minimization is not an add-on; the prohibited device surfaces never enter the pipeline in the first place.

Things the build accounts for

• Bilingual KFS as one record. Because the KFS exists as parallel English and Urdu artifacts across video, screenshot and message channels, we map both language variants onto a single normalized offer object so the disclosed rate and schedule reconcile against the live ledger without duplicate records.
• Wide rate band, per-offer math. The listing quotes a 5%–274% APR span over 91-to-180-day tenors, so there is no single product to assume. We compute the effective rate and schedule per offer and verify them against the installment breakdown rather than a flat assumption.
• Localization and excluded surfaces by design. We keep capture and storage in-region and structurally exclude the contacts and gallery permissions SECP prohibits, so the integration cannot drift into non-compliant collection even if those permissions exist on the device.
• Front-end change resilience. Nano-lending apps ship often; we wire a re-validation pass into maintenance so a changed offer or schedule response is caught and remapped before it breaks a downstream sync.

Keeping the feed honest

Loan state moves daily — an installment clears, an account tips into arrears, a new offer is booked. The integration is built around that cadence: scheduled reads for the ledger and arrears flag, event-style capture for disbursements, and a lighter cadence for the largely static KFS and profile fields. Consent expiry is treated as a first-class state, so a lapsed authorization surfaces as a clear re-consent prompt rather than a silent gap in the data.

Peer apps in the same space

Same-category Pakistani lending and wallet apps an integrator often wants under one unified model, each named neutrally for context:

• JazzCash — wallet with in-app micro-loans; holds balances, transfers and short-term credit lines.
• Easypaisa — wallet and lending; account balances, payments and micro-loan records.
• Barwaqt — nano-lending app with loan offers and repayment schedules much like Fauri Cash.
• Paisayaar — personal loans in the PKR 10k–50k band; application and ledger data.
• SmartQarza — dedicated quick-cash lender; offer terms and repayment tracking.
• Daira — digital lending with KYC, offers and installment schedules.
• Abhi — earned-wage access and lending; payroll-linked advance records.
• UdharPaisa — short-term loan app with loan-lifecycle and repayment data.

Questions integrators ask

Where do the loan terms actually live inside Fauri Cash?

The headline product fields — principal, tenor and effective rate — are bound to an approved offer the borrower sees after eligibility scoring, not to a static catalogue. The listing quotes a PKR 1,000 to PKR 50,000 range, a 91 to 180 day tenor and a 5%-274% APR band, so each account carries its own offer record. We map the per-offer object rather than a single fixed product.

Does the Key Fact Statement matter for the integration?

It does. SECP digital lending standards require a Key Fact Statement before disbursement, presented as video or audio plus a screenshot and an email or SMS, in both English and Urdu. We normalize the bilingual KFS into one structured offer record so the disclosed rate and schedule reconcile against the live ledger.

How do you keep borrower data inside Pakistan?

SECP bars storing borrower data on cloud infrastructure outside Pakistan and prohibits access to contacts or the photo gallery even with consent. We design the pull and any storage to stay in-region and exclude those prohibited surfaces, so the integration carries only loan-lifecycle fields.

Can you reconcile disbursements paid to a wallet or bank account?

Yes. The app states funds transfer to the borrower's account on approval, so disbursement and repayment events are time-stamped against an external rail. We model the disbursement reference and each installment so an integrator can match credits and debits to the loan record.

Source-code delivery starts at $300: you receive the runnable API source for the offer, schedule, ledger and disbursement reads, plus the OpenAPI spec, tests and interface documentation — paid only after delivery, once the integration satisfies you. If you would rather not host it, call our endpoints and pay per call with no upfront fee. The cycle is one to two weeks. Tell us the app and what you need from its data — start the conversation here and access and compliance are arranged with you as part of the work.

Mapped by the OpenBanking Studio integration desk · June 2026. We reviewed the app's Play Store listing and the SECP digital lending material on 2026-06-18. Primary sources: Fauri Cash on Google Play, SECP Circular 12 of 2024 (digital lending requirements), SECP whitelist of digital lending apps, SECP digital lending standards (KFS, data privacy).

App profile — Fauri Cash:Rapid Cash Solution

Personal nano-loan app for Pakistan, operated by Pakisnova Microfinance Company (Pvt) Ltd, a SECP-licensed NBFC (license No. SECP/LRD/109/PMCPL/2023/102, per the listing). Package ID com.fauricash.credit.loan. The app advertises loans from PKR 1,000 to PKR 50,000 over 91 to 180 days, with an APR band of 5%-274%; eligibility is stated as ages 18–60 and Pakistani citizenship. Funds are described as transferring to the borrower's account on approval. Operator contact per the listing: hello-pk@fauricash.com.