
PREDILIFE — Investor Relations & Filings
PREDILIFE specializes in predictive medicine, developing solutions to assess an individual's risk of developing major diseases. The company's approach integrates medical data, such as genetic testing and imaging, with artificial intelligence and mathematical models to create personalized risk profiles. Its primary offerings are predictive health check-ups, including a specialized test for assessing the 5-year risk of breast cancer (MammoRisk®) and a multi-condition check-up that evaluates the risk for several common cancers (lung, prostate, colorectal, melanoma) and cardiovascular disease. Based on these risk profiles, PREDILIFE provides personalized follow-up and preventive recommendations. The company offers its end-to-end solution, which includes remote consultations, to businesses, insurers, and healthcare professionals to facilitate wider access to preventive care.
Recent filings
Financials
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Market data
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Price history
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PREDILIFE via the API
Pull this company's filings, identifiers, and metadata as JSON or Markdown. Authenticate with your API key, then query by company ID, ISIN, or LEI. Full schema documented in the OpenAPI spec.
Endpoints
| GET | /api/companies/1608/ | Company identity, sector, listing, identifiers |
| GET | /api/filings/?company=1608 | Paginated list of all filings (filterable by type, date, language) |
| GET | /api/filings/{id}/ | Single filing — metadata, document URL, processing status |
| GET | /api/filings/{id}/markdown/ | Filing content as Markdown (PDF → text/tables/figures) |
| GET | /api/isins/?company=1608 | All ISINs registered to this company |
| GET | /api/filing-types/ | Reference: every filing-type code + category |
cURL
$ curl https://api.financialreports.eu/api/filings/?company=1608 \ -H "x-api-key: $FR_API_KEY" \ -H "Accept: application/json"
Python
import requests r = requests.get( "https://api.financialreports.eu/api/filings/", params={"company": 1608}, headers={"x-api-key": API_KEY}, ) filings = r.json()["results"]
MCP server
// MCP server URL https://mcp.financialfilings.com/mcp // Once connected, the LLM can query this company directly: "Pull the latest 5 filings for PREDILIFE (id: 1608)"
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