Marie Forleo API integration services (OpenData learning analytics + member workflow sync)

1) Account authorization and session continuity API

We map login, token refresh, and membership validation into a stable endpoint layer so your team can verify user access before exposing premium functionality in your own stack. A common use case is gating internal dashboards by active plan status and renewal date, not just by a static email list.

2) Program enrollment and progress extraction

This module captures course or cohort enrollment metadata, completion states, and lesson-level engagement windows. Teams use these fields for churn-risk alerts, advisor outreach prioritization, and executive progress reporting by cohort, campaign, and enrollment period.

3) Live coaching and event attendance sync

Where sessions and mentoring touchpoints are part of member value delivery, we normalize attendance, replay consumption, and participation outcomes into API outputs that can feed support SLAs and customer success scorecards.

4) Community graph and engagement stream API

Posts, comments, reactions, and member interaction signals can be integrated into moderation tooling, growth analytics, or community health dashboards. This is useful when your operators need one view across web community events and app-native interactions.

5) Plan purchase and billing-state reconciliation

For teams that run finance and fulfillment separately, we expose structured records for plan purchase events, renewal windows, cancellations, and access-state transitions. Reconciliation workflows often push this data to accounting systems and revenue intelligence pipelines.

Snippet A: Authorization handshake

POST /api/v1/marieforleo/auth/session
Content-Type: application/json

{
  "member_email": "user@example.com",
  "consent_scope": ["profile.read","program.progress.read","community.activity.read"],
  "client_trace_id": "9e7d..."
}

Response 200
{
  "member_id": "mf_34982",
  "access_status": "active",
  "session_token": "eyJ...",
  "expires_at": "2026-04-16T15:00:00Z"
}

Snippet B: Learning progress query

GET /api/v1/marieforleo/programs/{program_id}/progress?member_id=mf_34982
Authorization: Bearer <session_token>

Response 200
{
  "program_id": "bschool_core",
  "modules_total": 6,
  "modules_completed": 4,
  "completion_percent": 66.7,
  "last_activity_at": "2026-04-15T21:04:11Z"
}

Snippet C: Event webhook and error handling

POST /api/v1/hooks/member-event
{
  "event_type": "plan.renewal_failed",
  "member_id": "mf_34982",
  "occurred_at": "2026-04-16T09:12:00Z",
  "payload": {"plan":"pro","retry_window_days":7}
}

if signature_invalid:
  return 401 {"error":"invalid_signature"}
if payload_missing_required_fields:
  return 422 {"error":"schema_validation_failed"}
return 202 {"status":"accepted"}

For global creator and learning communities, GDPR is typically the baseline when EU users are present. That requires lawful basis definition, data-minimization, retention control, and user-rights processes (access, correction, deletion). If analytics or profiling is used for personalization, policy and consent scope must be explicit and auditable.

When this integration touches billing-adjacent records, we also apply OpenFinance-style controls: traceability, strict purpose limitation, and partitioned access roles between support, growth, and finance teams. This keeps operational reporting useful without exposing unnecessary personal data.

Data flow / architecture

• Client App Events and Authorized Session State
• Integration Ingestion Layer (auth checks, schema validation, deduplication)
• Operational Storage + Analytics Warehouse (partitioned by data domain)
• Output APIs and Webhooks for CRM, BI, and finance-support workflows

This four-node pipeline is intentionally simple so teams can start quickly and harden controls incrementally.

About our studio

We are a technical service studio focused on app interface integration and authorized API delivery for global clients. Our work combines protocol analysis, integration engineering, data normalization, and documentation so product, data, and operations teams can launch quickly with fewer unknowns.

Our core delivery model is simple: you provide the app target and business requirements; we deliver implementation-ready API source code, integration documents, and test cases. If you prefer not to host code immediately, we also offer usage-based API billing so teams can validate business value before committing to full internalization.

• Source code delivery from $300 with documentation and test plan
• Pay-per-call hosted API option for fast pilot rollout
• Android and iOS workflow coverage
• Interface refactoring, OpenData integration, and third-party connectors

Contact information

Share your target app, fields required, and expected output format. We return a scoped implementation plan with milestones and delivery options.

Go to Contact Page

Deliverables

• Protocol and authorization flow report
• Runnable API source code (for selected language stack)
• OpenAPI/Swagger specification and field dictionary
• Automated script examples for recurring sync jobs
• Test checklist, sample payloads, and error-code matrix

Workflow

1. Requirement intake: define use cases, data entities, and compliance constraints.
2. Protocol analysis and field mapping: convert app behavior into integration contracts.
3. Implementation sprint: build adapters, auth handling, and data validation logic.
4. Testing and hardening: run error-path checks, retry behavior, and schema conformance tests.
5. Documentation and handover: deliver source, API docs, and launch support notes.

FAQ

Do you claim official API partnership?
No. We only implement authorized, compliant integrations and clearly document whether flows use official APIs, platform connectors, or customer-authorized interface analysis.

What recent app signal did you consider?
Public app listings show maintenance updates in 2025, which indicates active product operations and reinforces the value of stable data extraction and synchronization pipelines.

Can this support multi-app reporting?
Yes. We design schema mapping so Marie Forleo data can be compared with other creator platforms in one analytics layer.