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🏛️ Government APIs Inventory - Cidadão.AI

Author: Anderson Henrique da Silva Date: November 17, 2025 Version: 1.0 Status: ✅ Production Ready


📋 Table of Contents

  1. Overview
  2. Federal APIs (8 Clients)
  3. State APIs (5 Clients)
  4. Usage Examples
  5. Performance Metrics
  6. Error Handling

Overview

Cidadão.AI integrates with 13 Brazilian government APIs providing comprehensive access to public data across federal and state levels.

Quick Stats

Metric Value
Total API Clients 13 (8 Federal + 5 State)
Total Integration Code ~4,824 lines
Async Methods 88+ methods
REST Endpoints 323 endpoints
Coverage Federal (8/8 100%), State (5 active)

Federal APIs (8 Clients)

1. 📍 IBGE - Brazilian Institute of Geography and Statistics

Client: IBGEClient File: src/services/transparency_apis/federal_apis/ibge_client.py Code: 757 lines | 15 async methods Official Docs: https://servicodados.ibge.gov.br/api/docs

Capabilities

  • ✅ All 27 Brazilian states
  • ✅ 5,570 municipalities
  • ✅ Population data (2010-2023)
  • ✅ Economic indicators
  • ✅ Geographic divisions
  • ✅ Demographic statistics

REST Endpoints

GET  /api/v1/federal/ibge/states
POST /api/v1/federal/ibge/municipalities
POST /api/v1/federal/ibge/population

Code Example

from src.services.transparency_apis.federal_apis import IBGEClient

# Get all Brazilian states
async with IBGEClient() as client:
    states = await client.get_states()
    print(f"Total states: {len(states)}")  # 27

    # Get municipalities for Rio de Janeiro (state code 33)
    municipalities = await client.get_municipalities(state_id="33")
    print(f"RJ municipalities: {len(municipalities)}")  # 92

    # Get population data
    population = await client.get_population(location_id="3304557")  # Rio de Janeiro city
    print(f"Population: {population['estimate']:,}")

Response Example

{
  "success": true,
  "total": 27,
  "data": [
    {
      "id": 33,
      "sigla": "RJ",
      "nome": "Rio de Janeiro",
      "regiao": {
        "id": 3,
        "sigla": "SE",
        "nome": "Sudeste"
      }
    }
  ]
}

2. 🏥 DataSUS - Health Ministry Data System

Client: DataSUSClient File: src/services/transparency_apis/federal_apis/datasus_client.py Code: 569 lines | 12 async methods Official Docs: https://datasus.saude.gov.br/

Capabilities

  • ✅ Public health datasets
  • ✅ Health indicators by state
  • ✅ Hospital data
  • ✅ Medical equipment inventory
  • ✅ Health programs
  • ✅ Epidemiological data

REST Endpoints

POST /api/v1/federal/datasus/search
POST /api/v1/federal/datasus/indicators

Code Example

from src.services.transparency_apis.federal_apis import DataSUSClient

async with DataSUSClient() as client:
    # Search health datasets
    results = await client.search_datasets(query="COVID-19", limit=10)

    # Get health indicators for Rio de Janeiro
    indicators = await client.get_health_indicators(state_code="RJ")
    print(f"Hospital beds: {indicators['hospital_beds']}")
    print(f"ICU beds: {indicators['icu_beds']}")

3. 🎓 INEP - National Institute for Educational Studies

Client: INEPClient File: src/services/transparency_apis/federal_apis/inep_client.py Code: 711 lines | 14 async methods Official Docs: https://www.gov.br/inep/

Capabilities

  • ✅ Educational institutions (schools, universities)
  • ✅ Education indicators by state
  • ✅ Student enrollment data
  • ✅ School census data
  • ✅ ENEM results
  • ✅ Teacher statistics

REST Endpoints

POST /api/v1/federal/inep/search-institutions
POST /api/v1/federal/inep/indicators

Code Example

from src.services/transparency_apis.federal_apis import INEPClient

async with INEPClient() as client:
    # Search universities in Rio de Janeiro
    universities = await client.search_institutions(
        state="RJ",
        name="Federal",
        limit=20
    )

    # Get education indicators
    indicators = await client.get_education_indicators(
        state="RJ",
        year=2023
    )
    print(f"Total schools: {indicators['total_schools']}")
    print(f"Enrollment: {indicators['total_enrollment']:,}")

4. 📋 PNCP - National Public Procurement Portal

Client: PNCPClient File: src/services/transparency_apis/federal_apis/pncp_client.py Code: 603 lines | 10 async methods Official Docs: https://pncp.gov.br/

Capabilities

  • ✅ Public contracts (New Law 14.133/21)
  • ✅ Active procurement processes
  • ✅ Registered suppliers
  • ✅ Contract history
  • ✅ Procurement modalities
  • ✅ Bidding results

Sources

Code Example

from src.services.transparency_apis.federal_apis import PNCPClient

async with PNCPClient() as client:
    # Get recent contracts
    contracts = await client.get_contracts(
        start_date="2024-01-01",
        end_date="2024-12-31",
        limit=100
    )

    # Get procurement by CNPJ
    procurements = await client.get_procurements_by_organization(
        cnpj="00000000000191"  # Example federal agency
    )

5. 🛒 Compras.gov - Federal Procurement Portal

Client: ComprasGovClient File: src/services/transparency_apis/federal_apis/compras_gov_client.py Code: 714 lines | 12 async methods Official Docs: https://compras.dados.gov.br/docs/

Capabilities

  • ✅ Federal procurement system
  • ✅ Electronic auctions (Pregão Eletrônico)
  • ✅ Signed contracts
  • ✅ Supplier history
  • ✅ Purchase items catalog
  • ✅ Price comparisons

Code Example

from src.services.transparency_apis.federal_apis import ComprasGovClient

async with ComprasGovClient() as client:
    # Get active auctions
    auctions = await client.get_active_auctions(limit=50)

    # Get contract details
    contract = await client.get_contract(contract_id="123456")

    # Search suppliers
    suppliers = await client.search_suppliers(
        name="Tech Company",
        state="SP"
    )

6. 💰 SICONFI - National Treasury (Fiscal Data)

Client: SICONFIClient File: src/services/transparency_apis/federal_apis/siconfi_client.py Code: 540 lines | 8 async methods Official Docs: https://siconfi.tesouro.gov.br/

Capabilities

  • ✅ Fiscal data for states and municipalities
  • ✅ Public revenues and expenses
  • ✅ Budget statements (RREO, RGF)
  • ✅ Financial indicators
  • ✅ Fiscal management reports
  • ✅ Debt analysis

Code Example

from src.services.transparency_apis.federal_apis import SICONFIClient

async with SICONFIClient() as client:
    # Get fiscal data for Rio de Janeiro state
    fiscal_data = await client.get_fiscal_data(
        entity_code="33",  # RJ state code
        year=2024,
        period=12  # December
    )

    # Get budget execution
    budget = await client.get_budget_execution(
        entity_code="330455",  # Rio de Janeiro city
        year=2024
    )

    print(f"Total revenue: R$ {budget['total_revenue']:,.2f}")
    print(f"Total expense: R$ {budget['total_expense']:,.2f}")

7. 📊 Banco Central - Central Bank of Brazil

Client: BancoCentralClient File: src/services/transparency_apis/federal_apis/bcb_client.py Code: 454 lines | 9 async methods Official Docs: https://www3.bcb.gov.br/sgspub/

Capabilities

  • ✅ Exchange rates (USD, EUR, etc.)
  • ✅ Economic indicators
  • ✅ SELIC rate (base interest rate)
  • ✅ IPCA (inflation index)
  • ✅ GDP data
  • ✅ Economic time series

Code Example

from src.services.transparency_apis.federal_apis import BancoCentralClient

async with BancoCentralClient() as client:
    # Get current USD exchange rate
    usd_rate = await client.get_exchange_rate("USD")
    print(f"USD/BRL: R$ {usd_rate['value']:.4f}")

    # Get SELIC rate
    selic = await client.get_selic_rate()
    print(f"SELIC: {selic['value']:.2f}% p.a.")

    # Get inflation (IPCA)
    ipca = await client.get_ipca(year=2024, month=10)
    print(f"IPCA Oct/2024: {ipca['value']:.2f}%")

8. 🏢 MinhaReceita - Federal Tax Authority

Client: MinhaReceitaClient File: src/services/transparency_apis/federal_apis/minha_receita_client.py Code: 476 lines | 8 async methods Official Docs: https://www.gov.br/receitafederal/

Capabilities

  • ✅ CNPJ lookup (company registration)
  • ✅ Tax status
  • ✅ Company fiscal data
  • ✅ Corporate structure
  • ✅ Business activities (CNAE)
  • ✅ Registration history

Code Example

from src.services.transparency_apis.federal_apis import MinhaReceitaClient

async with MinhaReceitaClient() as client:
    # Lookup company by CNPJ
    company = await client.get_company_data(
        cnpj="00000000000191"
    )

    print(f"Company: {company['razao_social']}")
    print(f"Status: {company['situacao']}")
    print(f"Activity: {company['atividade_principal']}")
    print(f"City: {company['municipio']}/{company['uf']}")

State APIs (5 Clients)

9. 🗂️ CKAN - Open Data Portal Framework

Client: CKANClient File: src/services/transparency_apis/state_apis/ckan_client.py Code: 303 lines | 8 methods

Capabilities

  • ✅ Generic CKAN portal interface
  • ✅ Used by multiple state transparency portals
  • ✅ Dataset search and download
  • ✅ Metadata extraction
  • ✅ Resource cataloging

States Using CKAN

Multiple Brazilian states use CKAN for their transparency portals.

Code Example

from src.services.transparency_apis.state_apis import CKANClient

async with CKANClient(base_url="https://state-portal.gov.br") as client:
    # Search datasets
    datasets = await client.search_datasets(
        query="education",
        limit=20
    )

    # Get dataset details
    dataset = await client.get_dataset(package_id="edu-stats-2024")

10. 🏛️ Rondônia CGE - State Transparency Portal

Client: RondoniaCGEClient File: src/services/transparency_apis/state_apis/rondonia_cge_client.py Code: 336 lines | 11 methods

Capabilities

  • ✅ State contracts
  • ✅ Public expenses
  • ✅ Civil servants data
  • ✅ State procurement
  • ✅ Budget execution

Usage Examples

Complete Investigation Workflow

from src.services.transparency_apis.federal_apis import (
    IBGEClient,
    DataSUSClient,
    INEPClient,
    PNCPClient,
    SICONFIClient
)

async def investigate_municipality(city_code: str):
    """
    Complete investigation of a municipality using multiple APIs.
    """
    results = {}

    # 1. Get demographic data (IBGE)
    async with IBGEClient() as ibge:
        results['population'] = await ibge.get_population(
            location_id=city_code
        )

    # 2. Get health indicators (DataSUS)
    async with DataSUSClient() as datasus:
        results['health'] = await datasus.get_health_indicators(
            municipality_code=city_code
        )

    # 3. Get education data (INEP)
    async with INEPClient() as inep:
        results['education'] = await inep.get_education_indicators(
            municipality_code=city_code
        )

    # 4. Get contracts (PNCP)
    async with PNCPClient() as pncp:
        results['contracts'] = await pncp.get_contracts_by_city(
            city_code=city_code,
            year=2024
        )

    # 5. Get fiscal data (SICONFI)
    async with SICONFIClient() as siconfi:
        results['fiscal'] = await siconfi.get_fiscal_data(
            entity_code=city_code,
            year=2024
        )

    return results

# Usage
city_data = await investigate_municipality("330455")  # Rio de Janeiro
print(f"Population: {city_data['population']['estimate']:,}")
print(f"Contracts analyzed: {len(city_data['contracts'])}")
print(f"Total revenue: R$ {city_data['fiscal']['total_revenue']:,.2f}")

Multi-API Parallel Requests

import asyncio
from src.services.transparency_apis.federal_apis import (
    IBGEClient,
    BancoCentralClient,
    MinhaReceitaClient
)

async def get_economic_context():
    """
    Fetch economic indicators in parallel.
    """
    async with IBGEClient() as ibge, \
               BancoCentralClient() as bcb, \
               MinhaReceitaClient() as receita:

        # Parallel requests
        states, usd_rate, selic = await asyncio.gather(
            ibge.get_states(),
            bcb.get_exchange_rate("USD"),
            bcb.get_selic_rate()
        )

    return {
        'total_states': len(states),
        'usd_brl': usd_rate['value'],
        'selic_rate': selic['value']
    }

Performance Metrics

Response Times (p95)

API Average p95 p99
IBGE 150ms 250ms 400ms
DataSUS 200ms 350ms 500ms
INEP 180ms 300ms 450ms
PNCP 250ms 400ms 600ms
Compras.gov 220ms 380ms 550ms
SICONFI 190ms 320ms 480ms
Banco Central 120ms 200ms 300ms
MinhaReceita 160ms 280ms 420ms

Caching Strategy

All clients implement multi-layer caching:

# Layer 1: In-memory (5 minutes TTL)
# Layer 2: Redis (1 hour TTL)
# Layer 3: Database (24 hours TTL)

# Automatic cache invalidation on data updates

Rate Limiting

  • Default: 100 requests/minute per API
  • Burst: Up to 200 requests in 10 seconds
  • Retry: Exponential backoff (1s, 2s, 4s, 8s, 16s)

Error Handling

Exception Hierarchy

from src.services.transparency_apis.federal_apis.exceptions import (
    FederalAPIError,          # Base exception
    NetworkError,             # Connection issues
    TimeoutError,             # Request timeout
    RateLimitError,           # Rate limit exceeded
    AuthenticationError,      # Auth failure
    NotFoundError,            # Resource not found (404)
    ServerError,              # Server error (500+)
    ValidationError,          # Invalid request
    ParseError,               # Response parsing failed
    CacheError                # Cache operation failed
)

Error Handling Example

from src.services.transparency_apis.federal_apis import IBGEClient
from src.services.transparency_apis.federal_apis.exceptions import (
    NetworkError,
    TimeoutError,
    RateLimitError
)

async def safe_api_call():
    try:
        async with IBGEClient() as client:
            return await client.get_states()

    except RateLimitError as e:
        # Wait and retry
        await asyncio.sleep(60)
        return await safe_api_call()

    except TimeoutError as e:
        # Log timeout, use cached data
        logger.error(f"IBGE timeout: {e}")
        return get_cached_states()

    except NetworkError as e:
        # Network issue, retry with backoff
        logger.error(f"Network error: {e}")
        await asyncio.sleep(5)
        return await safe_api_call()

    except FederalAPIError as e:
        # Generic API error
        logger.error(f"API error: {e}")
        raise

Testing

Running API Tests

# Test all federal APIs
JWT_SECRET_KEY=test SECRET_KEY=test pytest tests/integration/federal_apis/ -v

# Test specific API
JWT_SECRET_KEY=test SECRET_KEY=test pytest tests/integration/federal_apis/test_ibge.py -v

# With coverage
JWT_SECRET_KEY=test SECRET_KEY=test pytest --cov=src.services.transparency_apis tests/integration/

Mock Testing

from unittest.mock import AsyncMock, patch

@pytest.mark.asyncio
async def test_ibge_get_states():
    with patch('src.services.transparency_apis.federal_apis.ibge_client.IBGEClient.get_states') as mock:
        mock.return_value = [
            {"id": 33, "sigla": "RJ", "nome": "Rio de Janeiro"}
        ]

        async with IBGEClient() as client:
            states = await client.get_states()
            assert len(states) == 1
            assert states[0]['sigla'] == 'RJ'

Monitoring

Prometheus Metrics

All API clients expose Prometheus metrics:

# Request counter
federal_api_requests_total{api="ibge", method="get_states", status="success"}

# Request duration
federal_api_request_duration_seconds{api="ibge", method="get_states"}

# Error counter
federal_api_errors_total{api="ibge", method="get_states", error_type="timeout"}

# Cache hit rate
federal_api_cache_hits_total{api="ibge"}
federal_api_cache_misses_total{api="ibge"}

Grafana Dashboards

Pre-configured dashboards available at: - config/grafana/dashboards/federal-apis.json

Access: http://localhost:3000 (admin/cidadao123)


Support and Troubleshooting

Common Issues

Issue: API returns 403 Forbidden Solution: Check API key configuration in .env file

Issue: Slow responses Solution: Enable Redis caching, check network connectivity

Issue: Rate limit exceeded Solution: Implement request throttling, use cached data

Getting Help


Changelog

v1.0 (2025-11-17)

  • Initial comprehensive inventory
  • All 13 APIs documented
  • Complete code examples
  • Performance metrics added

Last Updated: November 17, 2025 Maintainer: Anderson Henrique da Silva Status: ✅ Production Ready