Aller au contenu
GET /v1/meta

Usage notes

Essayez-le en direct

10 appels gratuits par jour — sans inscription, sans clé API. Passe par la passerelle oanor.

En-têtes personnalisés (facultatif)
api.oanor.com/alphafold-api

Ça marche. Récupérez une clé API et utilisez-la dans votre projet.

Obtenez une clé API

Extraits de code

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_..."}
)

Exemple de réponse

Une réponse réelle de ce endpoint, capturée lors du dernier contrôle de santé.

{
    "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
}