How CashPal ProMoney's earnings feed leaves the app, and how to ingest it

Per its Play Store listing, CashPal ProMoney pays users small cash amounts for short rewarded ad views, referral signups, and lightweight tasks like maintaining a seven-day login streak. Everything that has cash attached to it lives on the publisher's server — the device only displays the running totals — which is the actual reason an integration is worth building at all. The data you would want is a ledger, not a snapshot, and ledgers reward an ingestion design more than a one-shot pull.

Where the data lives

Five surfaces matter for an integrator. None of them are exotic; the work is in mapping the field shapes the app actually uses and keeping the auth chain warm without tripping the device-binding heuristics that watch-to-earn apps put on the login path.

Reviews on the Play Store note that hitting the withdrawal threshold can sit behind a document verification step. That is a real product behaviour, not an integration blocker — it just means an honest integration models “eligible but not yet cleared” as a state, instead of treating any positive balance as cash-out-ready.

How we reach it

Authorised interface integration on the client-server traffic

This is the spine. The app talks to its publisher over HTTPS; we capture and document that traffic against an account you or we set up, recover the auth and refresh chain, name the endpoints, and rebuild the same calls as runnable client code. Reachable: every screen the app itself can show — balance, events, referrals, withdrawals, streaks. Effort: moderate; durability is good across normal version bumps because the value-bearing endpoints rarely move. Access and any verification paperwork are arranged with you during onboarding.

User-consented credential or session access

For continuous ingestion against a live consenting account, we can run on a stored session token that the account holder authorises us to refresh. Reachable: the same surfaces as above, but bound to that one account — useful for an audit or a single-user data export rather than fleet-wide use.

Native export, where it exists

The app does not currently expose an in-product CSV/JSON export for the earnings ledger. That is the typical state in this category, so the route is mentioned for completeness only; the integration is built on route one.

The recommendation is route one with a thin local cache, and route two reserved for the test-account during build. That is what we would pick for this app and what the rest of the page assumes.

What you receive

Lead deliverables for this build, in the order you would actually consume them:

• Runnable source SDK in Python and Node.js (Go on request) covering login, token refresh, balance read, event listing with pagination, referral graph fetch, and withdrawal history — each call wrapped, typed, and retried.
• Webhook handler — a small ingestion service that mirrors the app's own rewarded-ad callback into your endpoint, so events land in your stack at the moment the user earns them.
• Sync worker with idempotent event ingestion, a deduplication key derived from the app's own event ID, and a back-fill path for first-run history.
• Automated test suite hitting a recorded fixture set plus a live consenting account, so a future version bump can be caught on the next CI run rather than in production.
• OpenAPI spec and a short auth-flow report describing the OAuth/token/cookie chain as it actually behaves on this app.
• Compliance memo on data minimisation, consent records, and retention — tied to the surfaces we are actually pulling, not boilerplate.

An example endpoint

Illustrative shape only; field names and the exact auth header are confirmed during the build against this app's current build. The intent is to show the wrapping pattern, not to publish a contract.

# Pull wallet state + withdrawal eligibility for a consenting account
GET /v2/wallet/state HTTP/1.1
Host: api.cashpal.example
Authorization: Bearer <session-token-from-login-flow>
X-Device-Id: <stable-device-fingerprint>
User-Agent: CashPal/<observed-build> (Android)

200 OK
{
  "user_id": "u_8f2c...",
  "balance": { "available": 1.42, "pending": 0.18, "currency": "USD" },
  "withdraw": {
    "min_amount": 3.00,
    "verified": false,
    "next_eligible_at": "2026-06-01T00:00:00Z"
  },
  "streak": { "day": 4, "next_bonus_at": "2026-05-28T00:00:00Z" }
}

# Errors worth handling explicitly:
#   401  session expired      -> refresh via /v2/auth/refresh, then retry once
#   409  device mismatch      -> re-pin the device fingerprint, do not auto-retry
#   429  rate limited         -> respect Retry-After; jitter on retry
      

Normalised event shape

Once events are extracted, the shape we emit downstream collapses the per-network differences into a single record so the consumer does not have to. Keys we keep stable across releases:

{
  "event_id": "string",          // app's own id, used as the dedupe key
  "user_id": "string",
  "type": "ad_view | referral | task | streak_bonus | withdraw",
  "amount_usd": 0.00,
  "currency": "USD",
  "ad_network": "string | null", // present on type=ad_view
  "campaign_id": "string | null",
  "occurred_at": "ISO-8601",
  "settled_at": "ISO-8601 | null",
  "source_raw": { ... }          // pass-through of the original record
}
      

Sync, freshness and drift

Two things matter once the integration is running. Freshness: a sixty-second poll on the events endpoint catches most rewarded-ad credits inside the same minute they occur; for tighter freshness we mirror the in-app callback. Drift: build updates in this category almost never move the value-bearing fields, but they sometimes rename the device-binding header or swap the session-refresh path. The CI suite catches that on the next run and we patch within the support window agreed at delivery.

Practical notes from the build side

• Device binding. Watch-to-earn apps almost universally pin earnings to a device fingerprint to deter automation. We capture the fingerprint shape in use and keep it stable across the integration's hosts, so a poll from a worker does not look like a fraud event and have the session quietly downgraded. This is part of the build, not a request to the client.
• Withdrawal threshold modelling. The product treats balance below the minimum as visible but un-withdrawable, and verification documents may gate the first payout. We surface those as explicit states in the normalised ledger — available, below_threshold, verification_pending, cleared — so downstream accounting never confuses a sticky balance with an integration bug.
• Ad-network attribution. Rewarded-video credits in this category typically arrive with an attribution field naming which offerwall or rewarded-video network fired the credit; AdGem's offerwall API is one public example of the same pattern. We preserve that field instead of flattening it, because per-network reconciliation is one of the few questions the data is actually useful for.
• Idempotent ingestion. The dedupe key is the app's own event ID, not a hash of the payload — the publisher reissues a credit reliably on the same ID, so a replayed sync run does not double-count.

Authorisation and privacy posture

This is not a financial-data-rights situation; there is no banking regulator to invoke. The two regimes that actually apply on a US-leaning rewards app: the FTC's Consumer Review and Testimonials Rule — relevant because “leave a review” is one of the app's bonus tasks and any downstream use of that data inherits a disclosure obligation — and US state privacy law (CCPA and its peers), which treats a rewards programme as a regulated financial-incentive surface and asks for value disclosure plus opt-out paths. We operate the integration on authorised access only: a consenting account, NDA where the client wants one, logged consent, and data minimisation to the fields a use case actually needs.

What was checked

Surfaces inferred from the app's Google Play listing and recent user-review signal, cross-read against the standard offerwall/rewarded-video integration patterns documented by AdGem, the payout-side patterns documented by PayPal Payouts, and the US disclosure regime at the FTC Consumer Review Rule. Exact endpoint paths, header names and field shapes are confirmed during the build against the live app.

Mapping notes by OpenFinance Lab · May 2026.

Things integrators ask

How fresh is the data once we are pulling it?

The earnings ledger updates server-side at the moment of each rewarded ad completion, so a polling sync set to a 60-second window keeps balance drift inside one ad event in practice; a webhook-style push, where the app's session callback is mirrored to your endpoint, removes the polling lag entirely. We pick between the two during the build based on how the ad-view callback chain looks in this build.

How do you split earnings by ad-network source?

Each ad completion the app records carries a network attribution field — which offerwall or rewarded-video network fired the credit. We extract that field during protocol mapping and surface it as a column on the normalised event, so downstream you can group cash credited per network and per campaign without re-deriving it.

What happens when CashPal ProMoney ships a new app version?

Most version bumps in this category touch UI and SDK glue without moving the underlying balance/withdraw endpoints. When a release does shift a field shape or header, the integration's test suite flags it on the next cron run; we keep a short watch period after delivery and roll a patch if the shape moved.

Can we test against a real account before going live?

Yes — we run the build against a consenting test account that you or we set up on the app, and we wire the threshold-and-withdraw path end-to-end so the first real payout is not the first time the code runs through it. Account setup and any verification documents are handled with you during onboarding.

Other apps in this category

Watch-to-earn and broader get-paid-to apps share most of the same surface shape; a unified integration in this space is usually a thin per-app adapter on a common event/balance/withdraw schema.

• Swagbucks — broad rewards platform, holds balance in “SB” points plus a redemption ledger across gift cards and PayPal cash-out.
• InboxDollars — US-focused rewards platform with surveys, video and offerwall income, holds per-user cash balance and a $30-style minimum-cash-out behaviour.
• Mistplay — gameplay-time rewards, holds per-game session ledgers and a points-to-gift-card redemption history.
• JustPlay — gameplay-for-cash, holds per-session earnings and a PayPal-style payout history.
• KashKick — try-app and game rewards, holds an offer-completion ledger plus a single cash balance.
• Cash Giraffe — mobile gameplay rewards, holds tickets/balance plus a redemption ledger.
• AppKarma — task and install rewards, holds points and gift-card redemption history.
• Freecash — offerwall-style earnings hub, holds a unified balance across multiple offer networks and a payout history in crypto and gift cards.
• Money Well — play-and-earn rewards, holds per-task and per-game earnings against a single balance.

Two engagement options on this build: a source-code delivery from $300, paid after delivery once you are satisfied with what runs; or pay only for the calls you make against our hosted endpoints, no upfront fee. Either way the cycle is one to two weeks from kickoff to a working integration, with the access and any verification paperwork arranged with you as part of the build. If that fits what you need, get in touch via the contact page with the app name and the data you want out of it.