Brazil Market Intelligence & Evidence Engine
Canonical evidence layer for costs, labor, inflation, trade, office, housing and commercial planning signals.
Downloadable, versioned and citable datasets for Brazil market-entry and operating decisions.
A curated public repository of the machine-readable evidence behind E2M Research. Each listed release has a dated snapshot, file hash, source page and citation record.
The repository prioritizes decision-useful data rather than publishing every internal working file.
Canonical evidence layer for costs, labor, inflation, trade, office, housing and commercial planning signals.
Source provenance, evidence tier, period, verification date and refresh cadence used across E2M Research.
Lean, Base and Full entry-cost scenarios with salary, employer-cost, workspace, housing and GTM planning inputs.
Role-level salary planning ranges across seven job families with city comparisons and team-building context.
Employer-cost planning model for common hiring structures, with explicit assumptions and scenario boundaries.
Planning ranges and critical-path dependencies across six Brazil entry models.
First-team architectures, hiring order, salary planning and make-vs-buy logic for four company archetypes.
Channels, meeting creation, local BD, partnership routes, sales models, timelines and launch-budget architectures.
Class A/A+ rent, vacancy and flexible-workspace price snapshots for foreign-company location planning.
Selected furnished-rental price bands, neighborhood context and executive-relocation planning inputs.
Differentiated city profiles for location decisions, operating roles, evidence boundaries and market-entry planning.
Country-specific entry logic for major trade and investment corridors into Brazil.
Industry operating profiles covering buyers, regulation, GTM, entry model, talent and operating design.
Verified official sources, registries, investment agencies and bilateral networks with use cases and limitations.
The datasets may combine official facts, independent benchmarks, published provider data and explicitly labeled E2M planning assumptions. Read the linked methodology before treating any value as a market-wide statistic.
No email gate. JSON and CSV distributions are linked directly when available.
A dated release path is created for every listed dataset. Future refreshes should create a new path instead of overwriting the published snapshot.
Every dataset has a version-specific metadata file, SHA-256 file hashes and a copy-ready citation.
The repository itself is available as JSON and CSV so researchers, journalists and AI systems can inspect the inventory programmatically.
GET https://e2massociates.com/datasets/manifest.json
GET https://e2massociates.com/datasets/<dataset-id>/2026-09-25/metadata.jsonReuse boundary: Public access does not change third-party source rights. Source-specific terms still apply; E2M grants no rights it does not own.
Source verification dates, refresh cadence and downstream evidence dependencies are tracked separately from publication dates.