Ir al contenido
GET /v1/meta

Usage notes

Pruébalo en vivo

10 llamadas gratis al día — sin registro, sin clave API. Pasa por el gateway de oanor.

Encabezados personalizados (opcional)
api.oanor.com/alphafold-api

Funciona. Consigue una clave API y úsala en tu proyecto.

Obtener una clave API

Fragmentos de código

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_..."}
)

Respuesta de ejemplo

Una respuesta real de este endpoint, capturada en la última comprobación de estado.

{
    "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
}