V Prop Trader Pro API integration & OpenData services

1. Challenge lifecycle API

Expose the three-step evaluation pipeline as structured endpoints. Returns phase, challenge_id, account_size, start_date, days_traded, min_trading_days, and objective_status. Use case: a prop-firm CRM keeps every trader's status in sync without polling the mobile UI.

2. Risk & drawdown telemetry

Pulls daily_loss_used, daily_loss_limit, max_drawdown_floor, equity_peak and consistency_ratio as time series. Use case: feed an MT5-style risk engine that flags traders approaching breach before the in-app rule fires.

3. Simulated trade ledger

Returns each closed/open simulated position with symbol, side, volume, entry, exit, swap, commission and profit_virtual. Use case: import into TradesViz, Edgetrack or a custom analytics warehouse for session breakdowns and hourly heatmaps.

4. Equity curve & performance dashboard

Time-stamped virtual balance and floating equity samples plus aggregated KPIs: profit factor, average win, average loss, expectancy. Use case: power a multi-account dashboard that compares V Prop Trader Pro alongside Topstep or Apex Trader Funding accounts.

5. Withdrawal & reward ledger

Reward events with reward_id, amount, currency, channel, status and requested_at. Use case: reconcile global-friendly payout channels into a single accounting export, including KYC reference for the audit trail.

6. Webhook event stream

Push notifications for phase.passed, phase.failed, rule.breached, reward.requested, and reward.paid. Use case: trigger Slack or email alerts to operations the moment a trader changes phase or breaches a daily loss rule.

Scenario A · Prop-firm CRM mirror

An education brand reselling V Prop Trader Pro challenges wants its CRM to show, for every customer, the current phase, equity, and rule-breach distance. The integration polls the challenge lifecycle API every 60 seconds and subscribes to rule.breached webhooks, then writes a normalized row into the CRM's accounts table. This mirrors the MT5 export pattern that Match-Trader rolled out in 2024 — accounts, positions and trades flowing into back-office databases without manual oversight.

Scenario B · Multi-account analytics warehouse

A trader runs simulated accounts on V Prop Trader Pro, FTMO, and FundedNext at the same time. We build a daily ETL job that pulls the simulated trade ledger and equity samples from each provider into a unified schema, so a single Looker or Metabase dashboard renders combined drawdown, consistency and per-symbol P&L. The OpenData angle: one warehouse, one query language, multiple prop-firm sources.

Scenario C · Rule-breach risk engine

An affiliate operator wants to alert traders before a daily loss breach occurs. The integration consumes the risk telemetry stream and runs a rule (daily_loss_used / daily_loss_limit > 0.8) to push a Telegram or email warning. The same pipeline records every breach event for retroactive evaluation, mirroring the compliance dashboards offered by TradesViz and Edgetrack.

Scenario D · Reward payout reconciliation

Operations needs a daily CSV of every withdrawal request, channel, status and KYC reference, ready for finance and AML review. We schedule an authorized export of the reward ledger, sign each row, and drop it into S3 plus an OpenAPI endpoint. The export deliberately distinguishes performance-based virtual rewards from real trading profits, addressing the disclosure lessons highlighted by the dismissed CFTC v. My Forex Funds case.

Scenario E · Tax / accounting export

Some traders need a year-end summary that ties simulated activity to received rewards for accounting purposes in their country. We package the simulated trade ledger, reward events and KYC reference into a single PDF and JSON bundle. Output is OpenFinance-shaped (ISO 20022 inspired field names) so downstream accounting tools can ingest it without a custom mapping.

Auth & session bootstrap

// 1. Bind a user account through authorized OAuth-style flow
POST /api/v1/vproptrader/auth/login
Content-Type: application/json

{
  "user_ref": "trader_8821",
  "consent_token": "<CONSENT_JWT>",
  "device_id": "android-com.futureharvest.vproptrader"
}

// 200 OK
{
  "access_token": "<BEARER>",
  "refresh_token": "<REFRESH>",
  "expires_in": 3600,
  "scopes": ["challenge.read", "trades.read", "rewards.read"]
}

Challenge state & risk telemetry

GET /api/v1/vproptrader/accounts/{account_id}/state
Authorization: Bearer <ACCESS_TOKEN>

// 200 OK
{
  "account_id": "VPT-100K-9F12",
  "phase": "verification",
  "account_size": 100000,
  "virtual_equity": 102845.55,
  "daily_loss_used": 412.30,
  "daily_loss_limit": 5000,
  "max_drawdown_floor": 90000,
  "equity_peak": 103120.00,
  "consistency_ratio": 0.78,
  "min_trading_days_left": 2,
  "asset_classes": ["forex","indices","crypto","commodities","stocks"]
}

Trade ledger pagination

GET /api/v1/vproptrader/accounts/{account_id}/trades
  ?from=2026-04-01&to=2026-04-29&cursor=eyJwIjoyfQ
Authorization: Bearer <ACCESS_TOKEN>

// 200 OK
{
  "data": [{
    "trade_id": "T-77abc",
    "symbol": "XAUUSD",
    "side": "buy",
    "volume": 0.50,
    "entry": 2378.10,
    "exit": 2384.40,
    "profit_virtual": 315.00,
    "opened_at": "2026-04-22T08:15:11Z",
    "closed_at": "2026-04-22T09:02:48Z"
  }],
  "next_cursor": "eyJwIjozfQ",
  "has_more": true
}

Reward webhook (server → client)

POST https://your-app.example.com/webhooks/vpt
X-VPT-Signature: t=1745940000,v1=<HMAC_SHA256>
Content-Type: application/json

{
  "event": "reward.paid",
  "reward_id": "R-22931",
  "account_id": "VPT-100K-9F12",
  "amount": 1240.00,
  "currency": "USD",
  "channel": "global_friendly_wallet",
  "kyc_ref": "KYC-1129",
  "occurred_at": "2026-04-29T10:14:00Z"
}

// Recommended handling: verify HMAC,
// idempotency-key on reward_id,
// retry on 5xx with exponential backoff.

Deliverables checklist

• OpenAPI 3.1 specification for every endpoint listed above
• Protocol & auth report (consent flow, token lifecycle, error codes)
• Runnable source code for challenge state, trade ledger and reward APIs (Python / Node.js / Go)
• Webhook receiver template with HMAC verification and replay protection
• Postman / Bruno collection plus a small integration test harness
• Compliance notes — virtual-account disclosure language, CFTC Rule 4.7 alignment, GDPR consent

Engagement workflow

1. Scope confirmation — which V Prop Trader Pro surfaces (challenge state, trades, equity, rewards) you need exposed.
2. Authorized protocol analysis & API design — typically 2–5 business days depending on complexity.
3. Build & internal validation against sandbox accounts — 3–8 business days.
4. Documentation, sample clients and test cases — 1–2 business days.
5. First delivery is usually within 5–15 business days; KYC/onboarding cycles can extend this.

Pricing & engagement

Source code delivery from $300 — runnable API source code plus full documentation, paid after delivery upon satisfaction.

Pay-per-call hosted API — connect to our managed endpoints and pay only per call, no upfront cost. Better fit when traffic is bursty or you want us to operate the integration.

Who we are

We are an independent technical studio specializing in App interface integration and authorized API integration. Team backgrounds include mobile fintech, prop-trading platforms, MT5 plugins, and regulated payments. We have shipped end-to-end integrations for transaction history, statement exports, balance sync, booking and order systems across financial, e-commerce, travel and OTT apps.

• Protocol analysis & data extraction (no credential-scraping, no impersonation)
• Open Data / OpenFinance / OpenBanking-style API design
• Custom Python, Node.js and Go SDKs, containerized for easy deployment
• Two engagement models: source-code delivery from $300, or pay-per-call hosted API

Contact

Send us the target app name and your concrete requirements (which screens, which data types, expected volumes) and we will reply with scope and a quote.

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