Parqet - Portfolio Tracker API integration services for OpenData and OpenFinance workflows

Protocol analysis, authorized data extraction design, and production-ready integration code for portfolio activity feeds, broker autosync pipelines, and dividend analytics use cases.

Source delivery from $300 · Pay-per-call available
OpenData · OpenFinance · Portfolio export API · Broker autosync integration

Turn Parqet portfolio data into reliable API outputs for reporting, reconciliation, and analytics products.

Parqet has strong OpenData value because it centralizes account-linked wealth data across brokers, exchanges, cash accounts, and crypto venues. The platform stores structured activity history, holdings snapshots, benchmark comparisons, dividend events, and tax-relevant calculations, then syncs these views across web and mobile sessions. That data model is exactly what finance teams need when building portfolio dashboards, accounting connectors, investment intelligence tools, or client reporting layers.

Why this data matters: Transaction events (buy, sell, dividend, fee, tax) can be normalized into ledger-ready records, enabling monthly close, FIFO gain calculations, and reconciliation automation.
Why this data matters: Holdings, allocation, and concentration-risk views provide portfolio governance signals for advisories, family offices, and wealth reporting teams.
Why this data matters: Dividend forecasts, benchmark deltas, and tax dashboard outputs support investor communications and regulatory reporting workflows.

Feature modules for Parqet API integration

1) Portfolio activity ingestion API

We map Parqet-style activities into an auditable event stream with fields such as instrument identifier, booking date, gross amount, taxes, fees, and currency context. Teams use this module for transaction-history API integration and monthly close automation.

Concrete output: accounting-ready activity feeds that can be pushed to BI tools or ERP posting queues.

2) Holdings and balance sync module

This module produces account-level holdings and cash snapshots, including quantity, cost basis, market value, allocation bucket, and valuation timestamp. It is commonly used for balance sync in multi-broker wealth dashboards.

Concrete output: near real-time net worth and exposure widgets for advisor portals.

3) Dividend calendar and cash-flow endpoints

We expose expected and realized income events with payout date, ex-date, net/gross amount, withholding assumptions, and annualized yield metrics. Product teams use this for dividend strategy dashboards and liquidity planning.

Concrete output: forecast-vs-actual dividend reports and alerting hooks.

4) Benchmark and performance comparison API

Returns absolute and relative return series, period splits (monthly/quarterly/yearly), and benchmark deviation fields that support portfolio-performance API integration for client reporting.

Concrete output: white-label performance reports with index comparisons.

5) Tax and fee analytics feed

Parses tax exposure, withholding components, and fund fee signals into structured records. Especially useful for jurisdiction-aware reporting in Germany and broader EU workflows where investors need tax transparency.

Concrete output: export packs for tax prep teams and advisory compliance checks.

Data available for integration (OpenData perspective)

The table below translates app-visible functions into integration-ready data contracts. This is useful when planning a Parqet data export API, an OpenFinance analytics pipeline, or a portfolio tracker API integration with downstream systems.

Data type Source screen / feature Granularity Typical use
Trade and cash activities Activities overview, CSV export/import flows Per event (buy/sell/dividend/fee/tax) with date and currency Ledger reconciliation, monthly reporting, anomaly checks
Current holdings and positions Portfolio dashboard, broker sync snapshots Per account and per instrument position Exposure monitoring, concentration risk, mandate controls
Benchmark and return series Performance comparison and analytics views Time-series (daily/period aggregated) Client reporting, strategy backtesting, KPI dashboards
Dividend events and forecasts Dividend dashboard and calendar modules Per payout and per forecast window Cash-flow planning, income projections, investor updates
Tax exposure and withholding context Tax dashboard, transaction analysis Per instrument and period breakdown Tax prep support, compliance analytics, advisory notes
Asset classification metadata Allocation and asset-class analysis Portfolio, sector, region, class dimensions Risk governance, policy drift detection, allocation reports

Typical integration scenarios

Scenario A: Wealth reporting for advisory firms

Business context: a multi-client advisory team needs a single reporting layer across Trade Republic, Comdirect, Kraken, and other sources. Data/API involved: activity events, holdings snapshots, benchmark series, and dividend history. OpenData/OpenFinance mapping: transform user-authorized account data into standardized portfolio reporting APIs with role-based access controls and scheduled refresh windows.

Scenario B: Finance operations and reconciliation

Business context: an investment operator needs to reconcile broker activity with internal accounting books. Data/API involved: event-level trades, fees, taxes, FX context, and account cash movements. OpenData/OpenFinance mapping: expose transaction-history API endpoints and CSV-derived ingestion routes that feed reconciliation engines and exception queues.

Scenario C: Dividend strategy automation

Business context: an income-focused investor product sends payout forecasts and cash runway alerts. Data/API involved: dividend calendar, forecasted yield, realized payouts, withholding assumptions. OpenData/OpenFinance mapping: package dividend data into subscription endpoints and webhook events for calendar sync and treasury planning.

Scenario D: Community benchmark intelligence

Business context: a fintech dashboard compares portfolio behavior to benchmark baskets and peer cohorts. Data/API involved: return curves, asset allocation vectors, concentration metrics, and period deltas. OpenData/OpenFinance mapping: feed anonymized analytics APIs that support compliant cohort benchmarking without exposing personal identity data.

Technical implementation examples

Below are representative snippets for a production integration stack. They illustrate auth lifecycle handling, data query patterns, and resilient error contracts for portfolio API integration.

Auth/session bootstrap (pseudocode)

POST /api/v1/parqet/session/bootstrap
Content-Type: application/json

{
  "user_ref": "client_784",
  "consent_scope": ["activities:read", "positions:read", "dividends:read"],
  "callback_url": "https://client.example.com/oauth/callback"
}

Response 200:
{
  "session_id": "sess_98ab",
  "auth_url": "https://gateway.example.com/connect/parqet/start",
  "expires_in_sec": 900
}

Activity export endpoint (pseudocode)

GET /api/v1/parqet/activities?from=2025-01-01&to=2025-03-31&type=DIVIDEND
Authorization: Bearer <ACCESS_TOKEN>

Response 200:
{
  "items": [
    {
      "activity_id": "act_01",
      "booked_at": "2025-02-10T09:30:14Z",
      "instrument_isin": "US0378331005",
      "type": "DIVIDEND",
      "amount": {"value": 57.22, "currency": "EUR"},
      "withholding_tax": 8.58
    }
  ],
  "next_cursor": "eyJwYWdlIjoyfQ=="
}

Webhook + error policy (pseudocode)

POST /api/v1/webhooks/parqet
{
  "event": "positions.updated",
  "account_id": "acc_204",
  "as_of": "2025-04-15T07:00:00Z",
  "delta_count": 12
}

Error contract:
{
  "error_code": "SOURCE_RATE_LIMIT",
  "message": "Upstream sync limit reached",
  "retry_after_sec": 120,
  "request_id": "req_77ff"
}

Compliance & privacy

For this app category, GDPR is a primary baseline because Parqet operates in Germany and states German data hosting in public materials. When integrations touch payment-account aggregation patterns across Europe, PSD2 and open-banking licensing obligations can apply depending on whether your product only analyzes customer-provided exports or performs regulated account-information access through licensed providers. Our delivery model focuses on authorized access paths, auditable consent logging, data minimization, retention boundaries, and clear controller/processor role definitions so legal and engineering teams can launch confidently.

Data flow / architecture

Typical pipeline: Client App or Backoffice sends consented integration request -> Ingestion/API Layer performs session handling, source parsing, and schema normalization -> Storage Layer keeps encrypted event and snapshot stores with audit trails -> Output Layer serves analytics APIs, exports, and webhooks for BI, ERP, or advisory portals. This 4-node architecture keeps ingestion concerns separate from reporting consumption and supports easier governance reviews.

Market positioning & user profile

Parqet is positioned as a portfolio intelligence app for retail and prosumer investors who hold multi-broker portfolios across stocks, ETFs, and crypto, with clear traction in German-speaking and broader European investor communities. Its web-plus-mobile footprint and broker import focus make it attractive to users who outgrow single-broker dashboards and want unified analytics, dividend planning, and tax visibility. Typical user profiles include long-term ETF investors, dividend-focused individuals, and digitally native wealth builders who need consolidated reporting across platforms.

Screenshots

The following product screenshots are provided as quick visual references. Click any thumbnail to open a larger view.

Parqet screenshot 1 Parqet screenshot 2 Parqet screenshot 3 Parqet screenshot 4 Parqet screenshot 5 Parqet screenshot 6 Parqet screenshot 7 Parqet screenshot 8

Similar apps & integration landscape

Delta by eToro: Multi-asset tracking with exchange and wallet connections; teams often need unified transaction export across Delta and broker-native tools.

getquin: Portfolio analytics and social investing context; integration projects frequently compare allocation and dividend datasets across both ecosystems.

Portseido: Portfolio monitoring with broad instrument coverage; useful reference when designing cross-app performance normalization.

Finary: Net-worth and asset aggregation workflows including alternatives; relevant for unified household finance data models.

Portfolio Performance: Widely used desktop portfolio software in DACH markets; many users request bridges between local desktop records and cloud dashboards.

extraETF: ETF-focused analytics environment; often appears in ETF overlap and fund-comparison integration requirements.

justETF: ETF screening and information workflows; common companion source for instrument metadata enrichment.

Stock Events: Income and portfolio tracking with dividend-centric users; useful for harmonizing dividend forecast structures across products.

Sharesight: International portfolio tracking/reporting platform; frequently part of migration and cross-system reporting requests.

About our studio

We are a technical service studio focused on app interface integration and authorized API integration, with delivery experience across mobile products and fintech data pipelines. Our work covers protocol analysis, interface refactoring, OpenData integration design, third-party interface integration, automated data scripting, and practical API documentation that engineering teams can use immediately.

Clients engage us when they need fast execution without sacrificing governance quality. We support Android and iOS data access patterns, web backoffice integration, and cloud deployment. Every delivery package is designed for implementation teams: clear API contracts, runnable source code, test plans, and handoff materials that reduce onboarding time.

  • Source code delivery from $300: runnable API code, integration docs, and test assets; payment after delivery confirmation.
  • Pay-per-call hosted API model: usage-based billing with no upfront integration spend.

Contact information

For quotes, timelines, and architecture consultation, submit your target app and required flows via the contact page.

Open contact page

Deliverables checklist

  • Integration blueprint for login/session, activity export, holdings sync, and analytics output.
  • OpenAPI-style API contract draft including request/response and error schemas.
  • Runnable source implementation (commonly Node.js or Python) with environment templates.
  • Automated test examples for auth, pagination, retries, and data-integrity assertions.
  • Compliance notes for GDPR/PSD2-adjacent boundaries and data retention practices.

Engagement workflow

  1. Scope definition: decide exact fields, refresh intervals, and target systems.
  2. Protocol analysis and mapping: align app data structures to stable integration schema.
  3. Implementation and validation: build APIs, normalize outputs, and run integration tests.
  4. Delivery handoff: source code, documentation, support checklist, and launch guidance.
  5. Optional managed mode: hosted pay-per-call endpoint and monitoring handover.

FAQ

What should we provide to begin? Share the target app name, expected outputs (for example: transaction export OpenBanking-style feed, dividend calendar API integration, tax summary extraction), desired delivery model, and any current backend constraints.

How long does first delivery usually take? For a focused portfolio tracker API integration, initial delivery often lands within 5-15 business days depending on coverage depth, review cycles, and environment requirements.

Do you support compliant deployment? Yes. We implement authorization-aware flows, traceable logs, explicit retention settings, and policy-friendly documentation so legal, security, and engineering stakeholders can review one coherent package.

Original app introduction (collapsed by default)

Parqet - Portfolio Tracker is a wealth and portfolio tracking app available on web and mobile. It consolidates assets from brokers, exchanges, and crypto venues, and emphasizes real-time portfolio visibility with cloud synchronization. The app highlights support for over 50 brokers, more than 100,000 securities, and 1,000+ cryptocurrencies, alongside cash account tracking and automatic reports.

Core analytics include allocation analysis for concentration risk, benchmark and community comparison, ETF X-Ray analysis, transaction and cash-flow analysis, and a tax dashboard. Dividend-focused users get dedicated modules such as dividend forecasts, personal yield insights, and a dividend calendar for planning income streams.

Publicly available product materials and updates indicate recent feature expansion into alternative assets such as real estate and enhanced mobile analytics views. Privacy positioning emphasizes that only required product data is stored, with German hosting and security-focused handling. Terms of use are published through Apple standard EULA references.