MFXINTEL / SUBSCRIPTIONS
Three ways to structure a data engagement. Every proposal defines the datasets, regional scope, cadence, users and permitted use.
A defined regional research brief with the evidence behind its conclusions.
Strategy, research and market-entry teams
A consistent basket for comparing observed pricing and following changes.
Pricing, product and corridor-management teams
A defined data integration with explicit delivery and usage requirements.
Banks, financial platforms and data engineering teams
| What you need | Regional Research | Pricing Intelligence | Enterprise Data Partnership |
|---|---|---|---|
| Primary outcome | A defined regional research brief with the evidence behind its conclusions. | A consistent basket for comparing observed pricing and following changes. | A defined data integration with explicit delivery and usage requirements. |
| Delivery | Scoped reports and reviewed data extracts | Scoped monitoring views and data extracts | Authenticated JSON API or CSV delivery, subject to scope and entitlement |
| Cadence | Agreed research milestones and review schedule | Agreed collection and reporting cadence per source | Per-dataset freshness, delivery targets and incident terms agreed in writing |
| Support | Research questions, definitions and interpretation | Comparable context, change analysis and quality review | Schema mapping, integration acceptance and lifecycle review |
| Permitted use | Named team; internal analysis subject to the agreed licence | Named users and approved workflows; display rights scoped separately | Contracted datasets and uses; redistribution requires explicit rights |
Choose markets, provider basket, transaction contexts and business decisions.
Review available records, sample fields, freshness, quality and usage rights.
Approve your scope, annual price, delivery terms and permitted uses.
Confirm entitlements and test delivery against the agreed acceptance criteria.