brazil_macro_actual
shallowcom.brazilmacro/brazil-macro-ai · Verify this server
Returns a Brazilian macro headline actual (IPCA, IPCA-15, GDP, PIM-PF industrial production, PMC retail sales, PMS services volume, or PNAD Contínua unemployment) with full release-vintage provenance — built on a release/vintage layer that NEVER overwrites an original published number when a later revision arrives (method_id macro_actual_v1). Use when: you need the current headline reading for a Brazilian macro indicator, or (via `vintage`) what was known at a specific historical instant vs. what is currently the revised/correct value. Do not use when: you want the surprise vs. consensus (use brazil_macro_surprise, IPCA only) or the release schedule (use brazil_macro_calendar). Args: indicator: one of IPCA, IPCA15, GDP, PIM_PF, PMC, PMS, PNAD_UNEMPLOYMENT. reference_period: e.g. "2026-07" (monthly) or "2026-Q2" (GDP). as_of: YYYY-MM-DD, REQUIRED when vintage="as_known". vintage: "latest" (currently-correct value, default), "first" (original release, revision_number=0), or "as_known" (what was known publicly at `as_of`).
1 trials · measured 22 days ago
brazil_macro_actual scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against com.brazilmacro/brazil-macro-ai, measured 16 Sept 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- self-provisionable
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-09-16 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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