Naar de inhoud
GET /v1/meta

Usage notes

Probeer het live

10 gratis calls per dag — geen registratie, geen API-key. Loopt via de oanor-gateway.

Aangepaste headers (optioneel)
api.oanor.com/alphafold-api

Het werkt. Haal een API-key op en gebruik hem in je project.

Verkrijg een API-sleutel

Codefragmenten

curl "https://api.oanor.com/alphafold-api/v1/meta" \
  -H "x-oanor-key: oanor_test_..."
await fetch("https://api.oanor.com/alphafold-api/v1/meta", {
  headers: { "x-oanor-key": "oanor_test_..." }
});
$ch = curl_init("https://api.oanor.com/alphafold-api/v1/meta");
curl_setopt($ch, CURLOPT_HTTPHEADER, ["x-oanor-key: oanor_test_..."]);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
$out = curl_exec($ch);
import requests
requests.get(
    "https://api.oanor.com/alphafold-api/v1/meta",
    headers={"x-oanor-key": "oanor_test_..."}
)

Voorbeeldrespons

Een echte respons van dit endpoint, vastgelegd bij de laatste health check.

{
    "data": {
        "note": "DeepMind's AlphaFold predicted 3D structures for over 200 million proteins, hosted by EMBL-EBI. /v1/prediction?uniprot=P00520 = the AlphaFold model for a protein (looked up by UniProt accession) — its gene, protein description, organism, sequence length, model version and creation date, the global confidence metric, the full amino-acid sequence, and direct download links to the structure as mmCIF, PDB and BinaryCIF plus the predicted-aligned-error (PAE) plot image and data; /v1/summary?uniprot=P00520 = the protein's complete structural coverage — every experimental structure (PDB) and predicted model (AlphaFold) available for it, each with provider, model category, experimental method, resolution and the UniProt residue range it covers. Proteins are identified by UniProt accession (e.g. P00520, P38398). Data from the AlphaFold DB (CC-BY 4.0). For experimental 3D structures see the PDB API, for protein sequences & annotation UniProt, for families & domains InterPro.",
        "source": "AlphaFold Protein Structure Database — EMBL-EBI & Google DeepMind (alphafold.ebi.ac.uk)",
        "endpoints": [
            "/v1/prediction",
            "/v1/summary",
            "/v1/meta"
        ]
    },
    "meta": {
        "timestamp": "2026-06-01T16:24:09.779Z",
        "request_id": "08c6da10-fec0-4c42-8a30-c0d048a66b88"
    },
    "status": "ok",
    "message": "Meta retrieved",
    "success": true
}