Authorized protocol analysis for multi-asset wealth telemetry: holdings, dividend calendars, net worth rollups, and community-surface metadata mapped to stable integration contracts.
Retail and advisory teams increasingly treat mobile portfolio hubs as the system of engagement, while ERPs remain the system of record. getquin aggregates positions across brokers, banks, alternatives, and community commentary. When you need machine-readable mirrors of those views—without manual CSV gymnastics—we document the authenticated traffic, normalize identifiers (ISINs, tickers, lot tags), and ship runnable ingestion code aligned with consent boundaries.
Each card ties a user-visible capability to a dataset and a downstream job. Deliverables remain honest: if a field is hidden behind undisclosed endpoints, we record the gap instead of fabricating a vendor contract.
Mirrors the mobile flow that labels Open Banking as the lowest-effort path for syncing institutions. We capture institution identifiers, consent scopes, and refresh cadence so your data platform can re-run the same authorized pulls on a schedule you control, writing normalized JSON into Snowflake or Postgres staging tables.
Extracts declared amounts, pay dates, and forward-looking estimates where rendered. Finance controllers pipe the output into accrual workbooks so fiscal calendars match custodian statements before auditors arrive.
Rolls real estate, alternatives, and listed instruments into a single daily snapshot keyed by household ID. Wealth managers compare those snapshots against custodian-of-record feeds to detect drift caused by manual overrides.
Captures regional, sector, and asset-class breakdowns plus KPI tiles (for example Sharpe, max drawdown) when exposed. Quant teams feed the slices into internal factor models without rebuilding chart logic in Python notebooks.
Collects discussion threads, reactions, and headline cards tied to tickers of interest. Research desks treat the bundle as qualitative overlays atop price feeds, not as trade instructions.
Tracks OAuth refresh failures, broker-specific PIN prompts, and device binding events described in public reviews. Operations teams receive Slack alerts before end users notice stale positions.
These outcomes assume your organization already holds lawful grounds to access end-user accounts. We translate mobile workflows into deterministic jobs your SRE team can own.
Automated pulls of dividend accruals and cash balances trim the manual reconciliation window finance teams spend inside spreadsheets, especially when multiple EU brokers refuse standardized SFTP drops.
We surface the same KPI tiles clients admire in-app—time-weighted returns, regional sleeves, cost drag—so compliance reviewers can compare marketing claims against warehouse facts line by line.
Credential rotation monitors catch broker OAuth regressions before retail users flood support chats, preserving NPS during volatile tape weeks.
Normalized JSON lands in your cloud, which means you can swap front-end apps without rewriting downstream IFRS or US GAAP mapping layers tied to legacy CSV templates.
Treat the steps below as a playbook we customize per tenant. Replace sample identifiers with values captured during your authorized session recording.
Thumbnails reflect Google Play marketing assets. Click any tile to inspect UI chrome before you commit engineering hours to selector maintenance.
The inventory blends store copy, in-app marketing claims, and integration research. Granularity statements describe what a user typically sees; your legal team still validates entitlements before production rollout.
| Data type | Source (screen / feature) | Granularity | Typical use |
|---|---|---|---|
| Instrument master & position lots | Portfolio dashboard, manual add flows, broker link wizards | Per symbol, per lot, timestamped price marks | Exposure monitoring, sleeve compliance, pre-trade checks |
| Net worth components | Wealth overview cards, alternative asset modules | Daily or intraday depending on market data refresh | Household reporting, credit committee collateral views |
| Dividend accruals & forecasts | Dividend tracker, payout calendar | Per issuer, per payment date | Cash forecasting, tax provisioning, DCF support models |
| Performance analytics | Analytics lab, benchmarking widgets | Aggregated portfolio + benchmark series | Advisor QA, GIPS-adjacent internal reviews |
| News & alert payloads | Alert center, curated headlines | Event keyed by instrument or theme | Risk surveillance, thematic ETF positioning notes |
| Community graph | Social feed, shared portfolio posts | Thread, author, engagement counts | Voice-of-client research, education compliance sampling |
Scenarios illustrate how OpenFinance thinking maps to concrete payloads. Replace placeholder hostnames with those discovered during your engagement.
Business context: An EU RIA wants nightly proof that discretionary models inside Salesforce Financial Services Cloud match what clients see inside getquin after they link new brokers.
Data / API surface: Authorized session tokens, GET /portfolio/summary style aggregates (pseudonymized here), and lot-level positions[] arrays with ISIN, quantity, cost basis hints.
OpenData mapping: Treat broker connectors as Account Information Service patterns: read-only pulls, explicit consent artifacts, and immutable ingestion logs that mirror PSD2-style accountability even when the upstream is a wealth app rather than a raw ASPSP API.
Business context: A family office finance team must book declared dividends before cash hits omnibus accounts.
Data / API surface: Dividend calendar rows with ex_date, pay_date, gross_amount, currency, and optional withholding flags when displayed.
OpenData mapping: Align payout streams with open finance cash-flow telemetry: each record carries provenance (user ID, snapshot time) so auditors can trace numbers back to the originating mobile session.
Business context: Employees hold RSU fragments across US and EU brokers; HR-provided spreadsheets lag.
Data / API surface: CSV import history endpoints (where present) plus linked-account transaction feeds with corporate action markers.
OpenData mapping: Package the feeds into ISO-like JSON bundles your payroll vendor ingests, preserving currency and acquisition timestamps for multi-jurisdiction filings.
Business context: A long-only asset manager wants to correlate positioning with retail narrative spikes.
Data / API surface: Community threads tagged with tickers, engagement metrics, and any embedded portfolio share cards.
OpenData mapping: Store social objects separately from market data licenses; mark each record with moderation status to respect GDPR data-minimization choices if users delete threads.
Business context: A banking-as-a-service partner wants a read-only “external portfolio” tile without building charting from scratch.
Data / API surface: Aggregated allocation JSON plus sparkline series for trailing performance.
OpenData mapping: Present the widget only after OAuth-style consent screens; log each API call for MiFID-like suitability documentation even when marketing the feature to retail users.
Snippets illustrate shapes we deliver after protocol analysis. Paths, headers, and scopes change per release; tests must pin semver tags.
POST /auth/mobile/session
Content-Type: application/json
X-App-Version: 3.42.1
X-Device-Id: <UUID>
{
"grant_type": "refresh_token",
"refresh_token": "<ROTATING_SECRET>",
"bundle_id": "com.getquin.app"
}
200 OK
{
"access_token": "<JWT>",
"expires_in": 3600,
"scopes": ["portfolio:read","dividends:read"]
}
401 → trigger silent login UI flow + audit log
GET /api/v2/portfolio/holdings?currency=EUR
Authorization: Bearer <JWT>
{
"as_of": "2026-04-16T21:05:00Z",
"positions": [
{
"instrument_id": "IE00B4L5Y983",
"qty": 120,
"avg_cost": 82.41,
"market_value": 10132.88,
"asset_class": "LISTED_EQUITY"
}
],
"pagination": {"cursor": "opaque-token"}
}
POST https://hooks.customer.com/getquin/dividend
X-Signature: sha256=<HMAC>
Content-Type: application/json
{
"event": "dividend.forecast.updated",
"user_ref": "hashed-id",
"instrument": "US5949181045",
"forecast_pay_date": "2026-05-12",
"amount": 312.44,
"currency": "USD"
}
2xx → acknowledge; 5xx → exponential backoff + DLQ
Berlin-based QUIN Technologies GmbH publicly emphasizes GDPR controls, EU hosting, AES-256 encryption, and read-only bank connectivity. Those statements matter when you mirror data: your subprocessors list must include both the wealth app and any scraping alternative you rejected.
For bank-linked positions, PSD2 Account Information Service concepts remain the north star: minimize scopes, store only fields the user sees, and retain consent receipts even if upstream connectors are proprietary. Where crypto or tokenized assets appear, supplement with MiCA-aligned disclosures for EU retail marketing even if the integration itself stays read-only.
We document lawful bases, retention windows, and erasure hooks so security teams can answer DPIAs without improvising answers mid-audit.
A pragmatic pipeline looks like this: Client App (Android / iOS session) → Authorized ingestion worker (rotates tokens, respects backoff) → Normalization layer (ISIN mapping, FX conversion) → Curated warehouse (Iceberg or BigQuery) → Downstream APIs (GraphQL for advisors, CSV drops for finance).
Each hop emits structured logs so regulators can trace which employee triggered a refresh. Optional Kafka topics fan out real-time deltas to risk engines without hammering the mobile origin.
getquin targets DIY and semi-advised retail investors across Europe who want one glass pane for ETFs, alternatives, and community insight; native iOS and Android apps complement browser access. Public materials stress hundreds of thousands of users and large aggregate assets under tracking, which places the product alongside other pan-European wealth trackers rather than single-broker niche tools. Google Play metadata into 2026 continues to highlight iterative sync improvements—exactly the sort of churn that makes protocol analysis an ongoing service, not a one-off PDF.
Funding databases record a June 2022 $15 million Series A led by Portage Ventures—capital that typically accelerates broker coverage and infrastructure hardening rather than one feature toggle. More recent public-facing pages call out AI-assisted planning agents, richer retirement scenario tooling, and continued emphasis on Open Banking imports as the fastest onboarding path.
Play Store threads from 2024 include developer responses acknowledging broker sync and dividend edge cases; those conversations are useful breadcrumbs when we prioritize regression suites for dividend calendar data export for accounting workflows.
Keyword overlap is intentional: teams evaluating getquin frequently pilot alternatives. Understanding their datasets clarifies integration requirements without ranking vendors.
Finary centralizes bank, brokerage, crypto, and collectible balances for French and pan-European users; teams mirroring Finary and getquin in parallel often need unified custodian identifiers so BI layers do not double-count real estate marks.
OnePortfolio focuses on stock, ETF, and crypto lots with drag-and-drop broker imports; joint users may export CSV from one tracker while requiring API-grade freshness from another, which informs our hybrid ingestion templates.
Delta Investment Tracker blends crypto exchange telemetry with traditional tickers; integration playbooks borrow its OAuth patterns when mapping DeFi wallets alongside getquin’s alternative asset tiles.
Sharesight emphasizes tax-lot reporting across dozens of exchanges; finance teams comparing it with getquin typically demand identical corporate action handling rules in downstream JSON.
Kubera tracks illiquid luxury assets and estate-planning metadata; wealth engineers pair it with getquin when clients want both spreadsheet-grade detail and mobile-first dashboards.
Snowball Analytics caters to quantitative DIY investors with factor breakdowns; data scientists may cross-load factor scores from Snowball into getquin-derived position files for scenario tests.
Capitally highlights scenario modeling for European portfolios; advisory tech groups often sync its cash-flow assumptions with getquin’s dividend forecasts for sanity checks.
PortfolioTrackr publishes comparison articles that help prospects articulate requirements; those articles become living specs when we catalog which KPIs each vendor exposes to authenticated users.
Each release bundles parity tests that diff JSON snapshots against UI screenshots you approve, reducing the risk that a silent API change drains incorrect notional into compliance reports.
We specialize in authorized app interface integration for fintech and commerce stacks. Engineers on the bench have shipped mobile banking SDKs, broker FIX bridges, and GDPR-heavy data platforms.
Share the target app (getquin - Portfolio Tracker, package com.getquin.app) plus the datasets you need mirrored.
Do you bypass authentication?
Can you guarantee vendor APIs?
How do you handle community content?
PORTFOLIO TRACKER — getquin markets itself as an easy investment and wealth tracker for managing an entire portfolio, aggregating net worth, and supporting informed decisions.
Users can add stocks, ETFs, real estate, luxury collectibles, art, and commodities, visualizing them in one dashboard with real-time net worth tracking.
The dividend tracker includes calendars, cumulative payouts, forecasts, year-on-year growth, and yield metrics to plan cash flows.
Analytics cover regional, industry, and asset-class breakdowns, transparent costs, taxes, dividends, and advanced metrics such as time-weighted returns.
Community features include themed discussions, portfolio sharing for feedback, and discovery feeds for new ideas.
Security messaging stresses consent-first data handling, no storage without permission, and bank-level encryption.
All bullet copy above paraphrases Google Play / marketing descriptions for reference; refer to official policies before legal commitments.