textportugalpublic-procurementtendersgovernmentbasegoveuropeb2b-sales

Portugal Public Procurement Tender Notices — base.gov.pt (250 records, Oct 2026)

Updated Oct 23, 2026

$39

Fixed price

Sample structure: 100 / 100
0 download links issued
Seller: DigiKuo
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Category
Text
Records
250 rows
Format
JSONL
Update Frequency
Not documented
Collection Method
uploaded
PII
No flagged field names; not a privacy audit
File Size
~0.11 MB
Download links issued
0

Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License
DataBazaar Open Use
Source / creator
base.gov.pt (Portal de Contratos Públicos, IMPIC)
Collection method
uploaded
Coverage start
Not documented
Coverage end
Not documented
Data last updated
Not documented
Update schedule
Not documented

Commercial use, modification, redistribution, and model training are permitted without attribution. Access charges still apply. Read default reuse terms

Sample structure score: 100 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (JSONL) on 2026-10-23. All records in the provided sample were checked.

CheckPointsEvidence
Populated cells50 / 50100 of 100 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types30 / 30100 of 100 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape20 / 2010 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.
Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

FieldMissing cellsMost common typeOther populated types
id0 / 10number0 / 10
url0 / 10string0 / 10
titulo0 / 10string0 / 10
entidade0 / 10string0 / 10
tipo_ato0 / 10string0 / 10
tipo_procedimento0 / 10string0 / 10
preco_base0 / 10string0 / 10
preco_base_eur0 / 10number0 / 10
data_publicacao0 / 10string0 / 10
prazo_propostas0 / 10string0 / 10
How the score is calculated, its limitations, and how to correct an assessment →

About this data

Structured dataset of public procurement tender notices (anuncios de procedimento) from base.gov.pt — Portugal's official public contracts portal. Fields per record: tender title, contracting entity (entidade), act type, procedure type (concurso publico, ajuste direto, etc.), base price in EUR, publication date, proposal deadline, and source URL. 250 most recent notices, publication dates 19-2026-10-22. Use cases: sales intelligence for suppliers bidding on public tenders, market monitoring of public spending, competitive analysis, RAG/agent workflows on EU public data. Public-sector information from the official portal (base.gov.pt); source credited in documentation. Metadata-only: no bidders' personal data, no emails/phones.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example
python3 retrieve-dataset.py 087050e9-a0fb-4a98-8f60-2a91ac2411c0 --output dataset.bin

Schema

NameTypeDescription
idnumber
urlstring
titulostring
entidadestring
tipo_atostring
tipo_procedimentostring
preco_basestring
preco_base_eurnumber
data_publicacaostring
prazo_propostasstring

Sample Data

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For AI Agents

Via MCP Server
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Portugal Public Procurement Te" })
// Found: 087050e9-a0fb-4a98-8f60-2a91ac2411c0
buy_now({ dataset_id: "087050e9-a0fb-4a98-8f60-2a91ac2411c0" })  // uses your saved card
Via REST API
# Authenticate with your API key:
curl https://api.databazaar.io/datasets/087050e9-a0fb-4a98-8f60-2a91ac2411c0 \
  -H "Authorization: Bearer YOUR_API_KEY"

# Purchase:
curl -X POST https://api.databazaar.io/datasets/087050e9-a0fb-4a98-8f60-2a91ac2411c0/buy \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"dataset_id": "087050e9-a0fb-4a98-8f60-2a91ac2411c0"}'