Xperiencia

Xperiencia: Play and Win API Integration (OpenData/OpenFinance) • Protocol Analysis

A compliant integration delivery for Brain Score sync, points & rewards eligibility, and authorized “Play & Win” event ingestion using OpenData-style consent flows and OpenFinance-style auditability.

Starting at $300
OpenData · OpenFinance · App protocol analysis · Brain Score data sync

Turn Xperiencia gameplay into integration-ready data streams.

We help teams integrate Xperiencia: Play and Win outcomes into dashboards, reward engines, analytics pipelines, and partner systems—without turning points into money. Our work focuses on authorized access, clear consent boundaries, and practical API implementation patterns that your engineers can maintain.

  • User progress: Brain Score (0–100) plus speed/accuracy/consistency history you can sync daily for “learning-to-rank” analytics.
  • Engagement & pacing: daily game sessions (3–5 minutes) including streaks, challenges completed, and training-mode attempts.
  • Rewards lifecycle: points earning events and reward/coupon eligibility states aligned with Terms & Conditions and country availability.

Feature Modules We Can Expose as APIs

1) Brain Score history sync

Capability: export Brain Score (0–100) trends and the daily measurement context (speed, accuracy, consistency) for each training session.
Concrete use: build a “cognitive progress” model for personalization (e.g., adjust difficulty, recommend next daily challenge) and generate data-backed progress reports for your product or partner.
OpenData mapping: treat Brain Score events as time-series records with an explicit consent token, then publish them to your storage and analytics layer as standardized JSON.

2) Daily game session data

Capability: normalize session outcomes across daily mini-games (trivia, word search, flags, hangman, hidden word) into a consistent event schema.
Concrete use: compute engagement KPIs: retention by session type, completion-rate per level, and “3–5 minute daily” pacing indicators you can visualize in BI.
OpenData mapping: expose “game_result” and “level_progress” fields with a stable contract so your pipeline doesn’t break when the game library rotates.

3) Points & reward eligibility ledger

Capability: read points earning events and model reward/coupon eligibility states as a “ledger-like” dataset (not a payment ledger).
Concrete use: generate an auditable eligibility timeline for customer support (“why is coupon not available today?”) and reconciliation across marketing campaigns.
OpenFinance mapping: implement consent-based export endpoints and record access metadata so eligibility reads are traceable like finance-grade integrations.

4) Challenges, streaks, and ranking signals

Capability: ingest challenge completion, streak progression, chest opens, and ranking climbs into structured events.
Concrete use: power live notifications, automated “streak recovery” campaigns, and gamified user journeys while keeping your logic based on explicit app states.
OpenData mapping: store “streak_window” and “challenge_status” as derived fields, then publish them as queryable resources.

5) “Play & Win” verified external game participation

Capability: integrate Play & Win participation events where users earn additional points via verified external games.
Concrete use: track partner performance and attribution for reward programs, and feed insights back into your onboarding flow without mixing identifiers across unrelated systems.
OpenFinance mapping: treat external participation as an auditable event stream with strict consent scoping and minimal data exposure.

Screenshots

Click any thumbnail to open a larger view. This section uses all provided Xperiencia: Play and Win screenshots to keep your advert visually consistent.

Core Benefits for Your Integration Project

1) OpenData-ready exports for analytics

Instead of treating Xperiencia as a black box, we map gameplay outcomes into stable data contracts. You get time-series exports for Brain Score and structured records for daily mini-games, streaks, and challenge completion—so your BI and recommendation systems can query data consistently.

This also reduces integration fragility when content rotates (new challenges, new promotions, and updated game catalog availability). Your pipeline can rely on the data model contract rather than individual UI changes.

2) OpenFinance-style consent, audit, and safety

We implement consent-first access boundaries and audit logs around each export or eligibility read. Your team can show exactly what data was accessed, for which purpose, and under which consent scope.

Because points are explicitly not money and redemption depends on Terms & Conditions and country availability, the API patterns we deliver focus on eligibility states and reward-lifecycle tracking—not payment instruments.

3) Deliverable-driven engineering support

Our output includes protocol analysis notes, integration source code, and automation artifacts so your engineers can deploy and test quickly. You receive a practical gateway layer that your systems can call from production jobs or webhook consumers.

We also include retry/backoff behavior, rate-limit handling, and structured error responses so your integration remains stable during app-side changes.

Deliverables You Receive

Delivery set

  • Integration architecture for OpenData/OpenFinance consent boundaries
  • Protocol analysis report (mapping app flows to integration resources)
  • Working API gateway code + example SDK patterns
  • Automated sync scripts and test plan (happy path + edge cases)
  • Interface documentation (request/response contracts and field definitions)
  • Compliance checklist (privacy, consent scope, data minimization)

Example contract: progress sync (pseudo)

POST /api/v1/xperiencia/progress/sync
Content-Type: application/json
Authorization: Bearer <CONSENT_TOKEN>

{
  "user_subject": "end_user_123",
  "window": {"from":"2026-03-01","to":"2026-03-14"},
  "include": ["brain_score","session_results","streaks"],
  "timezone":"Europe/Madrid"
}

// Response
{
  "request_id":"req_9f2...",
  "records":[
    {"type":"brain_score","date":"2026-03-14","score":72,"accuracy":0.91,"speed_ms":540},
    {"type":"session_result","game":"trivia","level":4,"completed":true}
  ],
  "access":{"consent_scope":"brain_score_read","auditable":true}
}

This pattern shows how your system receives normalized events with a consent scope attached. The “auditable” flag is used to support OpenFinance-style traceability for exports.

Deliverable pacing

You can start with a short scoping proposal (target flows, fields, and output format), then we implement the integration gateway. Many first drafts are delivered within about one to two weeks depending on complexity and whether your project needs partner-facing documentation.

Transparent pricing: services start at $300, with an option to deliver results first and pay upon satisfaction for scoped engagements.

Data Inventory (OpenData Perspective)

Below are the data types we typically model as queryable resources. Granularity is expressed as what your integration layer can reliably store and expose to downstream systems.

Data type Source (app flow) Granularity Typical use
Brain Score (0–100) & components Brain Score overview Daily time-series + per-session components Progress modeling, personalization, analytics
Daily game results Daily games & training results Event-level: game type, level, completion, outcome Retention metrics, difficulty tuning, funnel dashboards
Points earning & reward eligibility Points & rewards wallet Ledger-like states: earning events, coupon availability windows Campaign attribution, customer support, eligibility audits
Challenges & streak progression Challenges & streaks Daily streak window + challenge status transitions Notification logic, “open chest” workflows, re-engagement
Play & Win partner participation Play & Win verified external games Event-level: partner id, session start/end, points earned Partner performance analytics, reward program governance
Training-mode practice data Training mode screens Practice attempts with no pressure markers Skill development reports, onboarding segmentation

Typical Integration Scenarios (End-to-End)

Scenario ACognitive progress analytics for a learning platform

A B2C learning platform wants daily dashboards for Brain Score changes and session performance. They need a consistent dataset that supports analytics without repeatedly reworking data pipelines.

Data/API involved: Brain Score history, per-session speed/accuracy/consistency signals, and streak windows exported via a consent token. The integration layer can expose normalized “brain_score” and “session_result” events.

OpenData/OpenFinance mapping: we implement consent-scoped export endpoints, store audit metadata per request, and publish queryable resources for your BI or ML training jobs.

Scenario BReward campaign reconciliation for a partner program

A partner wants to verify reward progression (points accumulation and coupon eligibility) for users who participate in challenges and promotions. The goal is fewer support tickets and a clear eligibility narrative.

Data/API involved: points earning events plus reward/coupon availability states from the Points & Rewards flow. Your system consumes a “reward_eligibility_timeline” endpoint and records which records were read.

OpenData/OpenFinance mapping: the API returns data with purpose tags (analytics vs support), and audit logs align the read access with consent scope so the team can prove compliance.

Scenario CPersonalized challenge recommender with privacy boundaries

A product team wants to recommend next daily games based on progress signals while staying within strict privacy boundaries. They need a data flow that minimizes exposure.

Data/API involved: daily game outcomes, training-mode attempts, and “challenge_status” transitions. Your recommender service pulls only the fields needed for difficulty adjustment (for example: completion and performance aggregates).

OpenData/OpenFinance mapping: we design an ingestion pipeline that stores aggregated fields, attaches consent scopes, and produces a read-only API output for your recommender.

Scenario DPartner attribution for Play & Win verified external games

An ecosystem operator coordinates multiple verified external games and needs partner reporting. They want to measure participation outcomes while respecting that points are not money.

Data/API involved: Play & Win participation events and points-earned summaries tied to partner identifiers. The integration layer outputs “partner_participation_events” for reporting.

OpenData/OpenFinance mapping: we keep the event stream consent-scoped, store access metadata, and export only the attributes required for attribution dashboards.

Technical Implementation (What You Get)

Consent-first integration gateway

We implement an ingestion gateway that sits between your services and Xperiencia data access. Your app provides a consent token (OpenData-style), then the gateway performs the authorized reads and returns normalized JSON records.

Because the app’s points are explicitly not money, we only model reward eligibility and user progress records. For payout-like workflows, we keep a strict separation between eligibility and any downstream payment or redemption mechanisms handled by your legal/compliance layer.

POST /api/v1/xperiencia/consents
Content-Type: application/json

{
  "user_subject": "end_user_123",
  "scopes": ["brain_score_read","session_results_read","reward_eligibility_read"],
  "purpose": "analytics_and_support",
  "requested_at":"2026-03-20T10:21:00Z"
}

// Response
{
  "consent_token":"cons_8b1f...",
  "expires_at":"2026-04-20T10:21:00Z",
  "audit":{"consent_scope":"brain_score_read+reward_eligibility_read"}
}

Progress sync with paging + retries

To keep your scheduled jobs stable, the gateway supports date windows, paging, and structured retry behavior. This is important because app catalogs rotate and minor bugs can be fixed in updates.

GET /api/v1/xperiencia/progress
  ?user_subject=end_user_123
  &from=2026-03-01
  &to=2026-03-14
  &page=1
  &page_size=200
  &include=brain_score,session_results
Authorization: Bearer <CONSENT_TOKEN>

// Error handling (example)
{
  "error":"rate_limited",
  "retry_after_seconds":30,
  "request_id":"req_9f2..."
}

Your integration can detect `retry_after_seconds`, apply exponential backoff, and continue without losing records.

Reward/coupon eligibility reads (not payout)

Your system can query eligibility for coupons and rewards based on points lifecycle and country availability constraints. The gateway returns an eligibility view that is safe for analytics and support workflows.

GET /api/v1/xperiencia/rewards/eligibility?country=ES
Authorization: Bearer <CONSENT_TOKEN>

// Response
{
  "user_subject":"end_user_123",
  "as_of":"2026-03-20",
  "points_balance": { "unit":"points", "value": 1450 },
  "available_coupons":[
    {"coupon_id":"CPN_12","status":"eligible","starts_at":"2026-03-20","ends_at":"2026-03-27"}
  ],
  "notes":"Points are not money; redemption depends on Terms & Conditions and availability by country."
}

This reduces ambiguity while keeping the integration contract aligned with transparency statements in the app listing.

Compliance & Privacy

Regulations we design around

Many integration projects include EU/EEA users or cross-border operations, so we design exports with GDPR principles in mind: consent boundaries, transparent purpose limitation, and data minimization.

The AdsInteractive privacy documentation explicitly references the EU General Data Protection Regulation (Regulation (EU) 2016/679, “GDPR”) and the EU e-Privacy Directive (Directive 2002/58/EC), including data subject rights and consent controls.

  • GDPR (Regulation (EU) 2016/679) and e-Privacy Directive (2002/58/EC)
  • Consent verification practices compatible with IAB TCF 2.2 (where applicable to consent-based handling)

Operational privacy safety

Your integration gateway is built to support “export and delete” requirements: your system can keep only derived analytics fields and maintain short retention windows when you prefer.

From the Google Play listing, the app declares that data is encrypted in transit and users can request that data be deleted. Our integration respects those claims by limiting what the integration layer stores and by attaching audit metadata per export request.

We also avoid claiming any data that the integration does not need, which keeps your pipeline aligned with compliance reviews from legal and security teams.

Data Flow / Architecture (Simple Pipeline)

  • Client App / Partner System → requests access using consent scopes (OpenData-style token)
  • Integration Gateway → performs authorized reads, normalizes records, enforces purpose tags
  • Storage → stores time-series and event records with minimal retention
  • Analytics / API Output → publishes query endpoints for Brain Score trends, streaks, and reward eligibility

This pipeline is designed so your engineering team can test quickly: once consent and mapping are validated, your downstream services receive stable schemas even when the app rotates content or ships minor bug fixes.

Market Positioning & User Profile

Xperiencia: Play and Win is positioned as a mini-games and rewards experience focused on memory and logic training, with short daily sessions and a “Brain Score” indicator that ranges from 0 to 100. The app is available on Android and iOS, and its Google Play listing indicates 500K+ downloads and an Everyone audience rating, with an active feedback loop through frequent updates. For B2C operators, educational/gamified fitness platforms, and loyalty analytics teams, this means you can treat gameplay outcomes as behavioral signals for engagement and learning progress. For integration projects, we typically support Europe-first workflows while leaving room for multi-country reward availability rules. On the product side, the Google Play listing shows an update on Mar 13, 2026 with minor bug fixes, and iOS version notes also reference “Fix minor bugs,” so our plan always includes regression validation after each release. In the broader rewards/engagement integration landscape, teams often use comparable data-export patterns from apps like WeWard, AttaPoll, and LifePoints when designing partner reporting pipelines and consent-based exports.

About our studio

We are a technical service studio specializing in app interface integration and authorized API integration. Our work spans protocol analysis, interface refactoring, open data/OpenFinance-style consent export patterns, and documentation delivery.

For Xperiencia projects, our focus is practical: map real in-app flows (daily games, Brain Score, points & rewards, challenges/streaks, and Play & Win verified external participation) into stable integration endpoints that your engineers can maintain.

We deliver compliant implementations and include test plans so your team can validate behavior across app-side changes without guesswork.

Contact

Share your target app name and requirements. We’ll respond with a scoped proposal describing which data types can be integrated, what your output format looks like, and how we handle consent and auditability.

Go to contact page

Typical scope: Brain Score sync + rewards eligibility ledger + challenges/streaks events, delivered as a usable integration gateway and documentation.

Workflow / timeline

  1. Clarify the integration goal (analytics, partner reporting, or support reconciliation) and define required fields.
  2. Protocol analysis + contract design (usually 2–5 working days).
  3. Implementation of the integration gateway + automated tests (3–8 working days depending on complexity).
  4. Delivery of API documentation, example SDKs, and deployment-ready instructions (1–2 working days).

Recent app updates include minor bug fixes in 2026 and frequent live content adjustments, so our plan always includes verification steps after changes.

FAQ

Do you need user credentials? We focus on authorized access patterns with consent scopes. Your project decides how to collect consent and how to securely store integration tokens.

Can you deliver source code? Yes. We provide the integration gateway source and interface documentation so you can deploy and maintain it.

Is points data treated as payments? No. Our models explicitly keep points and coupons as eligibility and ledger-like states, aligned with the transparency statements that “points are not money.”

Original App Introduction (Collapsed)

Xperiencia: Play and Win

Train your mind every day, have fun and earn rewards. Xperiencia is a mini-games app of memory and logic (trivia, word searches, flags, hangman, hidden word…) where you collect points by playing and improving your Brain Score, an indicator from 0 to 100 that reflects your daily cognitive progress.

What you can do with Xperiencia includes daily games for all levels, daily Brain Score tracking, points & rewards redemption for rewards/coupons and in-app draws, verified external games through Play & Win, and structured challenges with streaks and ranking climbs. There is also a training mode so users can practice without pressure.

  • Daily games: quick 3–5 minute matches for multiple difficulty levels.
  • Brain Score: track speed, accuracy, and consistency used to explain daily progress.
  • Challenges & streaks: open chests, complete tasks, and climb ranking.
  • Training mode: practice to improve Brain Score without pressure.

Transparency & Compliance: points are not money, and redemption for rewards/coupons is subject to Terms & Conditions and availability by country. For more information, see Privacy Policy and Terms in the app and on the web.