DR LALCHANDANI LABS LIMITED — Investor Relations & Filings
Dr. Lalchandani Labs Limited is a diagnostic healthcare provider specializing in a comprehensive range of pathology and radiology services. The company operates a network of laboratories and collection centers, offering clinical testing across various disciplines including biochemistry, hematology, microbiology, serology, and molecular biology. Its service portfolio encompasses routine diagnostic tests, specialized investigations, and preventive health checkup packages tailored for individual and corporate clients. The laboratory utilizes automated diagnostic equipment and standardized protocols to ensure precision and reliability in medical reporting. Key features include home sample collection services and digital access to test results. The organization maintains quality standards through rigorous internal quality controls and external proficiency testing, catering to the diagnostic needs of patients and healthcare practitioners.
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DR LALCHANDANI LABS LIMITED 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/64082/ | Company identity, sector, listing, identifiers |
| GET | /api/filings/?company=64082 | 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=64082 | 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=64082 \ -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": 64082}, 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 DR LALCHANDANI LABS LIMITED (id: 64082)"
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