Brazil Market Intelligence & Evidence Engine
Canonical evidence layer for costs, labor, inflation, trade, office, housing and commercial planning signals.
面向巴西市场进入与运营决策的可下载、可版本追踪、可引用数据集。
这是 E2M Research 机器可读证据的精选公共仓库。每个发布版本都包含带日期的快照、文件哈希、研究页面和引用记录。
仓库优先发布对决策有用的数据,而不是公开所有内部工作文件。
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.
数据集可能结合官方事实、独立基准、公开供应商数据以及明确标注的 E2M 规划假设。在将任何数值视为市场整体统计之前,请阅读相关方法说明。
无需提交邮箱。可用时直接提供 JSON 和 CSV 文件。
每个数据集都有带日期的发布路径。未来更新应创建新路径,而不是覆盖已发布快照。
每个数据集都有版本专属 metadata、SHA-256 哈希和可复制引用。
仓库本身提供 JSON 和 CSV,便于研究人员、记者和 AI 系统以编程方式检查清单。
GET https://e2massociates.com/datasets/manifest.json
GET https://e2massociates.com/datasets/<dataset-id>/2026-09-25/metadata.json再利用边界: 公开访问不会改变第三方来源的权利。原始来源条款继续适用;E2M 不授予其不拥有的权利。
Source verification dates, refresh cadence and downstream evidence dependencies are tracked separately from publication dates.