基于马属生物智能构建

import requests

response = requests.get(
    "https://api.eqaios.com/api/v1/breeds",
    headers={"Authorization": "Bearer eqai_sk_your_api_key_here"}
)
print(response.json())

const response = await fetch('https://api.eqaios.com/api/v1/breeds', {
  headers: { 'Authorization': 'Bearer eqai_sk_your_api_key_here' }
});
const data = await response.json();
console.log(data);

{
  "access_token": "eyJhbGciOiJSUzI1NiIs...",
  "token_type": "Bearer",
  "expires_in": 3600,
  "scope": "read:breeds read:variants read:knowledge"
}

import requests

API_KEY = "eqai_sk_your_api_key"
BASE = "https://api.eqaios.com/api/v1"

# Get detailed info for the Thoroughbred breed
resp = requests.get(
    f"{BASE}/breeds/TB",
    headers={"Authorization": f"Bearer {API_KEY}"}
)
breed = resp.json()

print(f"Breed: {breed['data']['name']}")
print(f"Genotypes: {breed['data']['genotype_count']:,}")
print(f"Validation: {breed['validation_status']}")
print(f"Confidence: {breed['confidence']['value']}")

const API_KEY = 'eqai_sk_your_api_key';
const BASE = 'https://api.eqaios.com/api/v1';

// Get detailed info for the Thoroughbred breed
const resp = await fetch(`${BASE}/breeds/TB`, {
  headers: { 'Authorization': `Bearer ${API_KEY}` }
});
const breed = await resp.json();

console.log(`Breed: ${breed.data.name}`);
console.log(`Genotypes: ${breed.data.genotype_count.toLocaleString()}`);
console.log(`Validation: ${breed.validation_status}`);

import requests

API_KEY = "eqai_sk_your_api_key"
BASE = "https://api.eqaios.com/api/v1"

# Get the knowledge subgraph for MSTN gene
resp = requests.get(
    f"{BASE}/knowledge/graph/MSTN",
    params={"depth": 2},
    headers={"Authorization": f"Bearer {API_KEY}"}
)
graph = resp.json()

focal = graph["data"]["focal_node"]["knowledge_node"]
print(f"Gene: {focal['name']} ({focal['id']})")

for node in graph["data"]["nodes"]:
    n = node["knowledge_node"]
    print(f"  → {n['node_type']}: {n.get('name', n['id'])}")

for edge in graph["data"]["edges"]:
    e = edge["knowledge_edge"]
    print(f"  {e['source']} —[{e['relation']}]→ {e['target']}")

const API_KEY = 'eqai_sk_your_api_key';
const BASE = 'https://api.eqaios.com/api/v1';

// Get the knowledge subgraph for MSTN gene
const resp = await fetch(
  `${BASE}/knowledge/graph/MSTN?depth=2`,
  { headers: { 'Authorization': `Bearer ${API_KEY}` } }
);
const graph = await resp.json();

const focal = graph.data.focal_node.knowledge_node;
console.log(`Gene: ${focal.name} (${focal.id})`);

graph.data.nodes.forEach(node => {
  const n = node.knowledge_node;
  console.log(`  → ${n.node_type}: ${n.name || n.id}`);
});

graph.data.edges.forEach(edge => {
  const e = edge.knowledge_edge;
  console.log(`  ${e.source} —[${e.relation}]→ ${e.target}`);
});

import requests

API_KEY = "eqai_sk_your_api_key"
BASE = "https://api.eqaios.com/api/v1"

# Generate HorseVector for the MSTN speed variant
resp = requests.post(
    f"{BASE}/foundation/embed",
    headers={
        "Authorization": f"Bearer {API_KEY}",
        "Content-Type": "application/json"
    },
    json={
        "entity_type": "variant",
        "entity_id": "rs112719330"
    }
)
hv = resp.json()

print(f"Dimensions: {hv['data']['horsevector']['dimensions']}")
print(f"Model: {hv['data']['horsevector']['model_version']}")
print(f"Vector (first 5): {hv['data']['horsevector']['embedding'][:5]}")

const API_KEY = 'eqai_sk_your_api_key';
const BASE = 'https://api.eqaios.com/api/v1';

// Generate HorseVector for the MSTN speed variant
const resp = await fetch(`${BASE}/foundation/embed`, {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${API_KEY}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    entity_type: 'variant',
    entity_id: 'rs112719330'
  })
});
const hv = await resp.json();

console.log(`Dimensions: ${hv.data.horsevector.dimensions}`);
console.log(`Model: ${hv.data.horsevector.model_version}`);
console.log(`Vector (first 5):`, hv.data.horsevector.embedding.slice(0, 5));