Around 70 lakh Indians let Oolka read their full Experian credit report and explain, line by line, what is dragging the score down — that figure and the Experian sourcing both come from the app's own Play Store listing. For an integrator, that is the interesting part: Oolka does not just show a number. It holds a parsed bureau report, a weekly score-history series, a multi-lender EMI dashboard, AI-flagged report errors with drafted dispute emails, and BBPS payment confirmations, all bound to one consumer account. This page maps what that data is and the authorized way to move it into your own system.
Whose rules apply, and what consent reaches
Two Indian regimes sit underneath this app, and they are not interchangeable. The credit report Oolka displays originates with Experian, one of four bureaus licensed under the Credit Information Companies (Regulation) Act, 2005; Experian India received its full CIC licence from the RBI in February 2010, per the bureau comparison sources below. Pulling a bureau record needs the consumer's explicit, purpose-specific consent — the same consent Oolka itself obtains before it fetches your report.
Loan accounts, EMI obligations and bank-side balances follow a different track: India's Account Aggregator framework, an RBI-regulated, consent-manager model that went live commercially in 2021. Nothing moves through an NBFC-AA without the user's explicit instruction, scoped to defined data and a defined window. The consumer's own authorization is the dependable basis for everything we build; the DPDP Act 2023 then governs how that data is stored, minimized and deleted afterward. We keep consent artifacts and revocation handling in scope from day one rather than bolting them on.
What Oolka actually holds
| Data domain | Where it originates in Oolka | Granularity | What an integrator does with it |
|---|---|---|---|
| Experian score and full report | Bureau pull triggered on each check | Score plus account-level tradelines, enquiries, status | Seed an underwriting or monitoring view without running your own bureau contract per user |
| Weekly score history | Oolka-stored time series | Per-week snapshots with trend | Chart movement, fire alerts on drops |
| Loan and credit-card dashboard | Aggregated lender accounts and due dates | Per-account balance, EMI, next due | Fold a consolidated liability view into a PFM or collections tool |
| Report-error flags and disputes | AI scan output: micro-balances, ghost and dormant-active accounts, duplicate reporting | Per case, with drafted dispute email and correction status | Drive a remediation queue and measure resolution time |
| BBPS EMI payments | Bharat Connect rail via a BBPOU partner | Per-transaction confirmation | Reconcile payments against loan accounts in real time |
| Rewards / cashback ledger | On-time-payment incentive events | Per event | Tie behavioral rewards to a loyalty or retention model |
Routes in, and the one we would pick
Account Aggregator consent (loan and account data)
For the underlying liabilities — active loans, EMI status, repayment records, bank balances feeding the dashboard — the AA framework is the durable, regulator-blessed channel. Structured JSON statements arrive already consented. Effort is moderate; durability is high because the contract is with the framework, not a fragile UI. We arrange the FIU-side onboarding and the consent templates with you during the build.
Bureau-consent report access (CICRA 2005)
The Experian report itself is reached under the consumer's bureau consent. This is the cleanest path to the score, tradelines and enquiry history. We set up the consent capture and the purpose binding so each pull is logged and defensible.
Authorized protocol analysis of the Oolka session
The dispute tracker, the dated 90-day plan, the weekly history and the unified due-date view are composed by Oolka and exist nowhere upstream. We read them from a consenting, logged-in session under your authorization, decode the token and request chain, and turn each surface into a stable endpoint. Effort is higher; we re-validate when the app front end shifts.
Native deletion/export request (fallback)
Oolka states a user can request deletion of their data at any time; the same channel is a thin export fallback for a one-off pull where no ongoing sync is needed.
For a real engagement, the recommendation is rarely one route. The score and loan accounts come through the two consent channels because that is what stays standing for years; the parts that make Oolka distinct — its remediation workflow and its consolidated views — come through the authorized session, since no consent rail exposes a vendor's own composed screens. We say which mix fits your use case after we see what you need from the data.
A worked call
Illustrative shape only, confirmed against the real surfaces during the build. An AA-style consent hands back a handle; a session read then returns the normalized credit object Oolka composes.
POST /v1/consent/credit-report
Authorization: Bearer <fiu-session>
{
"consumer_ref": "ck_8f12...", // pseudonymous, not the PAN
"purpose": "CREDIT_MONITORING", // bound, logged, revocable
"fi_types": ["LOANS", "CREDIT_CARD"],
"consent_expiry": "2026-09-28T00:00:00+05:30"
}
200 OK
{
"report": {
"bureau": "EXPERIAN",
"score": 742, // sample value, not asserted as live
"utilisation_pct": 38,
"accounts": [
{"lender": "InCred", "type": "PERSONAL_LOAN",
"emi": 21685, "next_due": "2026-07-05", "status": "ON_TIME"}
],
"flags": [
{"kind": "DORMANT_ACTIVE", "account_ref": "xb91",
"dispute_draft_ready": true, "correction_status": "OPEN"}
],
"history": [{"week": "2026-W25", "score": 738}]
}
}
# error handling we wire in:
# 409 CONSENT_REVOKED -> stop sync, surface to caller, no cached re-read
# 425 BUREAU_THROTTLED -> backoff, respect per-consumer pull limits
What lands in your repo
Each item is tied to a surface above, not a generic checklist.
- An OpenAPI spec covering the report pull, the loan-dashboard sync, the dispute/case feed and the BBPS confirmation stream.
- A protocol and auth-flow report: the token and refresh chain for the authorized session, plus the AA and bureau consent handshakes as they apply here.
- Runnable source for the key endpoints in Python and Node.js — the report fetch, history series, and the reconciliation matcher that keys BBPS events to loan accounts.
- Automated tests against recorded fixtures, including the consent-revoked and throttled paths.
- Interface documentation, plus DPDP-aligned consent, retention and minimization guidance you can hand to a reviewer.
Engineering notes we account for
Two things about this app shape how we build, and we handle both on our side.
- Consent windows expire by design. AA and bureau consents are time-bound and revocable. We design the sync around the refresh window and treat a 409 as a hard stop, so a lapsed consent surfaces immediately instead of the integration silently serving stale credit data — a real risk with a score that moves weekly.
- The composed surfaces are not the bureau record. Oolka's dispute drafts, dormant-active detection and 90-day plan are app-side logic over the raw report. We model those as derived objects with their own freshness, separate from the bureau pull, so a downstream system never mistakes an Oolka flag for a bureau-confirmed correction.
- BBPS confirmations arrive on their own clock. Payment events on the Bharat Connect rail land asynchronously; we key reconciliation by loan account and due date rather than arrival order, so a late confirmation still matches the right EMI.
Access to a consenting account or a sponsor sandbox is arranged with you during onboarding; the build runs against that, and we wrap a re-check step into maintenance for when the app front end changes.
Interface evidence
Listing screenshots, useful for confirming which surfaces exist before scoping. Tap to enlarge.
Peer apps in the same data space
These sit in the same Indian credit-health category. Naming them shows where a unified credit-data integration could reach beyond a single app; framing is neutral.
- OneScore — shows CIBIL and Experian scores side by side with monthly updates; a monitoring-first surface.
- Paisabazaar — free scores across multiple bureaus alongside loan and card eligibility matching.
- TransUnion CIBIL (official app) — direct CIBIL score and report, the version many lenders weight most.
- CRED — card-bill payments with score tracking layered on a payments base.
- BankBazaar — score checks tied to a credit-product comparison engine.
- Wishfin — quick CIBIL checks with loan and card recommendations.
- CreditMantri — multi-bureau scores with a guided improvement roadmap.
- Freo — credit tracking bundled with credit-line and savings features.
- Navi — lending app with in-app score visibility tied to its loan products.
Questions an integrator tends to ask
Where does the credit score itself come from, and how is it reached lawfully?
Oolka surfaces an Experian-sourced score and full report, per its own listing. The bureau record is reached with the consumer's explicit, purpose-bound consent under the Credit Information Companies (Regulation) Act, 2005; loan and account data sits behind India's RBI Account Aggregator consent. Both consent records are captured and logged as part of the build.
Can you reach the AI dispute tracker and 90-day plan, not just the raw score?
Yes. The drafted dispute emails, error flags, correction tracking and the dated action plan are composed inside Oolka and exist nowhere upstream, so we read them from the authorized app session through protocol analysis, then normalize each case into a JSON object you can poll.
How do the BBPS EMI payment confirmations flow into the integration?
Oolka pays EMIs across lenders through a BBPOU on the Bharat Connect (BBPS) rail, per its description. We map the real-time confirmation events into a reconciliation feed keyed by loan account and due date, so a downstream system can match payments without scraping reminder screens.
Does the India DPDP Act change what you build for an Indian credit app?
It shapes it. We scope each data pull to a stated purpose, keep consent and revocation records, and minimize retention to what the use case needs — the same posture Oolka itself describes around encrypted transit and deletion on request. Compliance guidance ships with the source.
How this was checked
Drawn from Oolka's Play Store listing and its own site for the data surfaces, the Department of Financial Services material on the Account Aggregator framework for the consent model, and bureau-comparison sources for Experian's CIC status. Checked late June 2026; figures such as the user count and the February 2010 licence date are repeated as their sources state them, not independently audited.
- Oolka on Google Play
- oolka.in
- Account Aggregator framework — Dept. of Financial Services
- India's four credit bureaus, compared
Mapping by OpenBanking Studio's integration desk, June 2026.
The whole point of this brief is a working integration, not a slide. We take it on as one job: you give us the app name and what you want out of its data, and we handle access, consent setup and the build. Source-code delivery starts at $300 — runnable API source plus docs for the surfaces above — and you pay only after delivery, once it works for you. If you would rather not host anything, call our endpoints instead and pay per call, with nothing upfront. Either way the cycle is one to two weeks. Tell us which Oolka surfaces matter at /contact.html and we will scope it.
App profile — Oolka: AI Credit Score App
Oolka is an Indian consumer credit app (package app.oolka.com) that, per its Play listing, checks an Experian credit score, runs AI insights over the full report, tracks weekly score history, consolidates loans and credit cards with EMI reminders, pays EMIs over the Bharat Connect (BBPS) rail through a BBPOU partner, flags report errors and drafts dispute emails, and offers cashback for on-time payments. It names partner NBFCs and issuer banks and states data is encrypted in transit with deletion available on request. Facts here are recap drawn from the listing and the sources cited above.