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Esempi di integrazione

Tre esempi end-to-end che coprono i pattern di integrazione più comuni con Owning.pro. Ogni esempio include implementazioni curl, TypeScript e Python.

#EsempioAuthStrumenti / Endpoint
1Search & EvaluateNone (public)GET /api/listings, GET /api/listings/:id.md
2Publish a ListingAPI key (write)POST /api/api-keys, POST /api/upload, POST /api/listings, POST /api/listings/:id/publish
3Use MCP ServerAPI key (optional)search_listings, get_listing_markdown, create_listing, publish_listing
4Track Analytics EventsNone (public)POST /api/track
5Promote a Listing (Premium)JWT (owner)POST /api/listings/:id/premium, GET /api/listings/:id/premium-status *(planned)*

Esempio 1: Cerca e valuta

Scenario: Un agente IA cerca barche in una categoria specifica, filtra per prezzo, recupera il dettaglio Markdown del risultato principale e valuta se è un buon affare.

Nessuna autenticazione richiesta

Questo esempio usa solo endpoint di lettura pubblici. Nessuna API key o JWT necessaria. Rate limit: 100 richieste/minuto per IP.

Flusso

1. Search listings (category=boats, max_price=200000)
   → GET /api/listings?category=boats&max_price=200000&limit=10
2. Pick the first result
3. Get the Markdown detail
   → GET /api/listings/{slug}.md
4. Parse and evaluate

curl

# Step 1: Search for boats under 200k
curl -s "https://api.owning.pro/api/listings?category=boats&max_price=200000&limit=10" \
  | jq '.results[0].slug'

# → "lagoon-400-s2-JP12QW"

# Step 2: Get the Markdown detail
curl -s "https://api.owning.pro/api/listings/lagoon-400-s2-JP12QW.md"

# → Returns Markdown with YAML frontmatter + structured sections

TypeScript

// search-and-evaluate.ts
const API_BASE = "https://api.owning.pro";

async function searchAndEvaluate() {
  // Step 1: Search for boats under 200k
  const searchUrl = new URL(`${API_BASE}/api/listings`);
  searchUrl.searchParams.set("category", "boats");
  searchUrl.searchParams.set("max_price", "200000");
  searchUrl.searchParams.set("limit", "10");

  const searchRes = await fetch(searchUrl);
  const searchData = await searchRes.json();

  console.log(`Found ${searchData.pagination.total} listings`);

  if (searchData.results.length === 0) {
    console.log("No results found");
    return;
  }

  // Step 2: Pick the first result
  const topListing = searchData.results[0];
  console.log(`Top result: ${topListing.title} — ${topListing.price.amount} ${topListing.price.currency}`);

  // Step 3: Get the Markdown detail
  const mdRes = await fetch(`${API_BASE}/api/listings/${topListing.slug}.md`);
  const markdown = await mdRes.text();

  // Step 4: Evaluate
  console.log("\n--- Listing Detail (Markdown) ---\n");
  console.log(markdown);

  // Parse key info from the Markdown for evaluation
  const priceMatch = markdown.match(/price:\s*(\d+)/);
  const yearMatch = markdown.match(/Year.*?(\d{4})/);
  const lengthMatch = markdown.match(/Length.*?([\d.]+)\s*m/);

  const evaluation = {
    title: topListing.title,
    price: priceMatch ? parseInt(priceMatch[1]) : null,
    year: yearMatch ? parseInt(yearMatch[1]) : null,
    length: lengthMatch ? parseFloat(lengthMatch[1]) : null,
    pricePerMeter: null as number | null,
  };

  if (evaluation.price && evaluation.length) {
    evaluation.pricePerMeter = Math.round(evaluation.price / evaluation.length);
  }

  console.log("\n--- Evaluation ---");
  console.log(JSON.stringify(evaluation, null, 2));
}

searchAndEvaluate().catch(console.error);

Python

# search_and_evaluate.py
import requests
import re
import json

API_BASE = "https://api.owning.pro"

def search_and_evaluate():
    # Step 1: Search for boats under 200k
    params = {
        "category": "boats",
        "max_price": "200000",
        "limit": "10",
    }
    resp = requests.get(f"{API_BASE}/api/listings", params=params)
    data = resp.json()

    print(f"Found {data['pagination']['total']} listings")

    if not data["results"]:
        print("No results found")
        return

    # Step 2: Pick the first result
    top = data["results"][0]
    print(f"Top result: {top['title']} — {top['price']['amount']} {top['price']['currency']}")

    # Step 3: Get the Markdown detail
    md_resp = requests.get(f"{API_BASE}/api/listings/{top['slug']}.md")
    markdown = md_resp.text

    # Step 4: Evaluate
    print("\n--- Listing Detail (Markdown) ---\n")
    print(markdown)

    # Parse key info
    price_match = re.search(r"price:\s*(\d+)", markdown)
    year_match = re.search(r"Year.*?(\d{4})", markdown)
    length_match = re.search(r"Length.*?([\d.]+)\s*m", markdown)

    evaluation = {
        "title": top["title"],
        "price": int(price_match.group(1)) if price_match else None,
        "year": int(year_match.group(1)) if year_match else None,
        "length": float(length_match.group(1)) if length_match else None,
        "price_per_meter": None,
    }

    if evaluation["price"] and evaluation["length"]:
        evaluation["price_per_meter"] = round(evaluation["price"] / evaluation["length"])

    print("\n--- Evaluation ---")
    print(json.dumps(evaluation, indent=2))

if __name__ == "__main__":
    search_and_evaluate()

Esempio 2: Pubblica un annuncio

Scenario: Un agente registra un account, accede, crea una API key con permessi di scrittura, carica un'immagine, crea un annuncio e lo pubblica. Questo è il flusso di scrittura completo end-to-end.

Autenticazione richiesta

Questo esempio richiede un token JWT (da register/login) per creare una API key, e poi l'API key per le successive operazioni di scrittura. Rate limit: 10 annunci/giorno, 50 caricamenti immagini/giorno.

Flusso

1. Register an account     → POST /api/auth/register
2. Login (get JWT)         → POST /api/auth/login
3. Create an API key       → POST /api/api-keys (JWT auth)
4. Upload an image         → POST /api/upload (API key auth)
5. Create a listing        → POST /api/listings (API key auth)
6. Publish the listing     → POST /api/listings/:id/publish (API key auth)

curl

# Step 1: Register
curl -s -X POST https://api.owning.pro/api/auth/register \
  -H "Content-Type: application/json" \
  -d '{"email":"agent@example.com","password":"SecurePass123!","name":"AI Agent"}'

# Step 2: Login (get JWT)
JWT=$(curl -s -X POST https://api.owning.pro/api/auth/login \
  -H "Content-Type: application/json" \
  -d '{"email":"agent@example.com","password":"SecurePass123!"}' \
  | jq -r '.token')

# Step 3: Create an API key with write permission
API_KEY=$(curl -s -X POST https://api.owning.pro/api/api-keys \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $JWT" \
  -d '{"name":"agent-key","permissions":["read","write"]}' \
  | jq -r '.key')

echo "API Key: $API_KEY"

# Step 4: Upload an image
IMAGE_URL=$(curl -s -X POST https://api.owning.pro/api/upload \
  -H "Authorization: Bearer $API_KEY" \
  -F "file=@photo.jpg" \
  | jq -r '.url')

# Step 5: Create a listing
LISTING_ID=$(curl -s -X POST https://api.owning.pro/api/listings \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $API_KEY" \
  -d "{
    \"title\": \"Apple iPhone 13 128GB Blue\",
    \"description\": \"Apple iPhone 13 in blue, 128GB. Good condition, battery health 89%.\",
    \"category_id\": \"electronics\",
    \"condition\": \"good\",
    \"price\": { \"amount\": 399, \"currency\": \"EUR\", \"negotiable\": true },
    \"location\": { \"country\": \"ES\", \"city\": \"Madrid\", \"shipping\": true },
    \"images\": [{ \"url\": \"$IMAGE_URL\" }],
    \"tags\": [\"iphone\", \"apple\", \"smartphone\"]
  }" \
  | jq -r '.id')

echo "Listing ID: $LISTING_ID"

# Step 6: Publish the listing
curl -s -X POST "https://api.owning.pro/api/listings/$LISTING_ID/publish" \
  -H "Authorization: Bearer $API_KEY"

# → { "id": "...", "status": "active", ... }

TypeScript

// publish-listing.ts
const API_BASE = "https://api.owning.pro";

async function publishListing() {
  // Step 1: Register
  const regRes = await fetch(`${API_BASE}/api/auth/register`, {
    method: "POST",
    headers: { "Content-Type": "application/json" },
    body: JSON.stringify({
      email: "agent@example.com",
      password: "SecurePass123!",
      name: "AI Agent",
    }),
  });
  // Ignore 409 (already registered) — proceed to login

  // Step 2: Login
  const loginRes = await fetch(`${API_BASE}/api/auth/login`, {
    method: "POST",
    headers: { "Content-Type": "application/json" },
    body: JSON.stringify({
      email: "agent@example.com",
      password: "SecurePass123!",
    }),
  });
  const { token: jwt } = await loginRes.json();

  // Step 3: Create an API key
  const keyRes = await fetch(`${API_BASE}/api/api-keys`, {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
      Authorization: `Bearer ${jwt}`,
    },
    body: JSON.stringify({
      name: "agent-key",
      permissions: ["read", "write"],
    }),
  });
  const { key: apiKey } = await keyRes.json();
  console.log("API Key:", apiKey);

  // Step 4: Upload an image
  const formData = new FormData();
  const imageBuffer = await fetch("https://example.com/photo.jpg").then((r) => r.blob());
  formData.append("file", imageBuffer, "photo.jpg");

  const uploadRes = await fetch(`${API_BASE}/api/upload`, {
    method: "POST",
    headers: { Authorization: `Bearer ${apiKey}` },
    body: formData,
  });
  const { url: imageUrl } = await uploadRes.json();
  console.log("Image URL:", imageUrl);

  // Step 5: Create a listing
  const createRes = await fetch(`${API_BASE}/api/listings`, {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
      Authorization: `Bearer ${apiKey}`,
    },
    body: JSON.stringify({
      title: "Apple iPhone 13 128GB Blue",
      description: "Apple iPhone 13 in blue, 128GB. Good condition, battery health 89%.",
      category_id: "electronics",
      condition: "good",
      price: { amount: 399, currency: "EUR", negotiable: true },
      location: { country: "ES", city: "Madrid", shipping: true },
      images: [{ url: imageUrl }],
      tags: ["iphone", "apple", "smartphone"],
    }),
  });
  const listing = await createRes.json();
  console.log("Listing ID:", listing.id);

  // Step 6: Publish
  const pubRes = await fetch(`${API_BASE}/api/listings/${listing.id}/publish`, {
    method: "POST",
    headers: { Authorization: `Bearer ${apiKey}` },
  });
  const published = await pubRes.json();
  console.log("Published:", published.status); // → "active"
}

publishListing().catch(console.error);

Python

# publish_listing.py
import requests

API_BASE = "https://api.owning.pro"

def publish_listing():
    # Step 1: Register
    requests.post(f"{API_BASE}/api/auth/register", json={
        "email": "agent@example.com",
        "password": "SecurePass123!",
        "name": "AI Agent",
    })
    # Ignore 409 (already registered)

    # Step 2: Login
    login_resp = requests.post(f"{API_BASE}/api/auth/login", json={
        "email": "agent@example.com",
        "password": "SecurePass123!",
    })
    jwt = login_resp.json()["token"]

    # Step 3: Create an API key
    key_resp = requests.post(f"{API_BASE}/api/api-keys", json={
        "name": "agent-key",
        "permissions": ["read", "write"],
    }, headers={"Authorization": f"Bearer {jwt}"})
    api_key = key_resp.json()["key"]
    print(f"API Key: {api_key}")

    auth_headers = {"Authorization": f"Bearer {api_key}"}

    # Step 4: Upload an image
    with open("photo.jpg", "rb") as f:
        upload_resp = requests.post(
            f"{API_BASE}/api/upload",
            headers=auth_headers,
            files={"file": ("photo.jpg", f, "image/jpeg")},
        )
    image_url = upload_resp.json()["url"]
    print(f"Image URL: {image_url}")

    # Step 5: Create a listing
    create_resp = requests.post(f"{API_BASE}/api/listings", json={
        "title": "Apple iPhone 13 128GB Blue",
        "description": "Apple iPhone 13 in blue, 128GB. Good condition, battery health 89%.",
        "category_id": "electronics",
        "condition": "good",
        "price": {"amount": 399, "currency": "EUR", "negotiable": True},
        "location": {"country": "ES", "city": "Madrid", "shipping": True},
        "images": [{"url": image_url}],
        "tags": ["iphone", "apple", "smartphone"],
    }, headers={**auth_headers, "Content-Type": "application/json"})
    listing = create_resp.json()
    print(f"Listing ID: {listing['id']}")

    # Step 6: Publish
    pub_resp = requests.post(
        f"{API_BASE}/api/listings/{listing['id']}/publish",
        headers=auth_headers,
    )
    published = pub_resp.json()
    print(f"Published: {published['status']}")  # → "active"

if __name__ == "__main__":
    publish_listing()

Esempio 3: Usa il server MCP

Scenario: Un agente si connette al server MCP di Owning, elenca gli strumenti disponibili, cerca annunci, ne recupera uno in formato Markdown, crea un nuovo annuncio e lo pubblica — tutto tramite chiamate MCP invece di richieste HTTP raw.

MCP vs REST

Questo esempio raggiunge gli stessi obiettivi degli Esempi 1 e 2, ma tramite l'interfaccia strumenti del server MCP. Il server MCP gestisce internamente header di auth, costruzione degli URL e parsing delle risposte.

Flusso

1. Initialize MCP session    → method: "initialize"
2. List available tools      → method: "tools/list"
3. Search listings           → tool: "search_listings"
4. Get Markdown detail       → tool: "get_listing_markdown"
5. Create a listing          → tool: "create_listing"
6. Publish the listing       → tool: "publish_listing"

curl

MCP_URL="https://mcp.owning.pro/mcp"
API_KEY="own_aBcD123eFgH456iJkL789mNoP012qRsT345uVwX678yZ"

# Step 1: Initialize
curl -s -X POST "$MCP_URL" \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{}}'

# Step 2: List tools
curl -s -X POST "$MCP_URL" \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":2,"method":"tools/list","params":{}}'

# Step 3: Search listings
curl -s -X POST "$MCP_URL" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $API_KEY" \
  -d '{
    "jsonrpc":"2.0","id":3,"method":"tools/call",
    "params":{"name":"search_listings","arguments":{
      "query":"lagoon","category":"boats","limit":5
    }}
  }'

# Step 4: Get Markdown detail
curl -s -X POST "$MCP_URL" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $API_KEY" \
  -d '{
    "jsonrpc":"2.0","id":4,"method":"tools/call",
    "params":{"name":"get_listing_markdown","arguments":{
      "id_or_slug":"lagoon-400-s2-JP12QW"
    }}
  }'

# Step 5: Create a listing
curl -s -X POST "$MCP_URL" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $API_KEY" \
  -d '{
    "jsonrpc":"2.0","id":5,"method":"tools/call",
    "params":{"name":"create_listing","arguments":{
      "title":"Apple iPhone 13 128GB Blue",
      "description":"Apple iPhone 13 in blue, 128GB. Good condition, battery health 89%.",
      "category_id":"electronics",
      "condition":"good",
      "price":{"amount":399,"currency":"EUR","negotiable":true},
      "location":{"country":"ES","city":"Madrid","shipping":true},
      "tags":["iphone","apple","smartphone"]
    }}
  }'

# Step 6: Publish (use the listing ID from step 5)
curl -s -X POST "$MCP_URL" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $API_KEY" \
  -d '{
    "jsonrpc":"2.0","id":6,"method":"tools/call",
    "params":{"name":"publish_listing","arguments":{
      "id_or_slug":"apple-iphone-13-128gb-blue"
    }}
  }'

TypeScript

// use-mcp-server.ts
const MCP_URL = "https://mcp.owning.pro/mcp";
const API_KEY = process.env.OWNING_API_KEY; // own_... format

let nextId = 1;

async function callMCP(method: string, params: Record<string, unknown> = {}) {
  const res = await fetch(MCP_URL, {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
      ...(API_KEY ? { Authorization: `Bearer ${API_KEY}` } : {}),
    },
    body: JSON.stringify({
      jsonrpc: "2.0",
      id: nextId++,
      method,
      params,
    }),
  });
  const data = await res.json();
  if (data.error) throw new Error(data.error.message);
  return data.result;
}

async function callTool(name: string, args: Record<string, unknown>) {
  const result = await callMCP("tools/call", { name, arguments: args });
  if (result.isError) {
    throw new Error(result.content[0].text);
  }
  // Parse the text content as JSON if possible
  const text = result.content[0].text;
  try {
    return JSON.parse(text);
  } catch {
    return text;
  }
}

async function main() {
  // Step 1: Initialize
  const init = await callMCP("initialize", {});
  console.log(`Connected to ${init.serverInfo.name} v${init.serverInfo.version}`);

  // Step 2: List tools
  const toolsList = await callMCP("tools/list", {});
  console.log(`Available tools: ${toolsList.tools.map((t: any) => t.name).join(", ")}`);

  // Step 3: Search listings
  const searchResult = await callTool("search_listings", {
    query: "lagoon",
    category: "boats",
    limit: 5,
  });
  console.log(`Found ${searchResult.results.length} listings`);
  const topListing = searchResult.results[0];
  console.log(`Top: ${topListing.title}`);

  // Step 4: Get Markdown detail
  const markdown = await callTool("get_listing_markdown", {
    id_or_slug: topListing.slug,
  });
  console.log("\n--- Markdown ---");
  console.log(typeof markdown === "string" ? markdown : JSON.stringify(markdown));

  // Step 5: Create a listing (requires write API key)
  if (!API_KEY) {
    console.log("\nSkipping write operations — no API key set");
    return;
  }
  const newListing = await callTool("create_listing", {
    title: "Apple iPhone 13 128GB Blue",
    description: "Apple iPhone 13 in blue, 128GB. Good condition, battery health 89%.",
    category_id: "electronics",
    condition: "good",
    price: { amount: 399, currency: "EUR", negotiable: true },
    location: { country: "ES", city: "Madrid", shipping: true },
    tags: ["iphone", "apple", "smartphone"],
  });
  console.log(`Created listing: ${newListing.id}`);

  // Step 6: Publish
  const published = await callTool("publish_listing", {
    id_or_slug: newListing.slug,
  });
  console.log(`Published: ${published.status}`);
}

main().catch(console.error);

Python

# use_mcp_server.py
import requests
import json
import os

MCP_URL = "https://mcp.owning.pro/mcp"
API_KEY = os.environ.get("OWNING_API_KEY")  # own_... format
_next_id = 1

def call_mcp(method, params=None):
    global _next_id
    headers = {"Content-Type": "application/json"}
    if API_KEY:
        headers["Authorization"] = f"Bearer {API_KEY}"

    resp = requests.post(MCP_URL, headers=headers, json={
        "jsonrpc": "2.0",
        "id": _next_id,
        "method": method,
        "params": params or {},
    })
    _next_id += 1
    data = resp.json()
    if "error" in data:
        raise Exception(data["error"]["message"])
    return data["result"]

def call_tool(name, args):
    result = call_mcp("tools/call", {"name": name, "arguments": args})
    if result.get("isError"):
        raise Exception(result["content"][0]["text"])
    text = result["content"][0]["text"]
    try:
        return json.loads(text)
    except json.JSONDecodeError:
        return text

def main():
    # Step 1: Initialize
    init = call_mcp("initialize", {})
    info = init["serverInfo"]
    print(f"Connected to {info['name']} v{info['version']}")

    # Step 2: List tools
    tools_list = call_mcp("tools/list", {})
    tool_names = [t["name"] for t in tools_list["tools"]]
    print(f"Available tools: {', '.join(tool_names)}")

    # Step 3: Search listings
    search_result = call_tool("search_listings", {
        "query": "lagoon",
        "category": "boats",
        "limit": 5,
    })
    print(f"Found {len(search_result['results'])} listings")
    top = search_result["results"][0]
    print(f"Top: {top['title']}")

    # Step 4: Get Markdown detail
    markdown = call_tool("get_listing_markdown", {
        "id_or_slug": top["slug"],
    })
    print("\n--- Markdown ---")
    if isinstance(markdown, str):
        print(markdown)
    else:
        print(json.dumps(markdown, indent=2))

    # Step 5: Create a listing (requires write API key)
    if not API_KEY:
        print("\nSkipping write operations — no API key set")
        return

    new_listing = call_tool("create_listing", {
        "title": "Apple iPhone 13 128GB Blue",
        "description": "Apple iPhone 13 in blue, 128GB. Good condition, battery health 89%.",
        "category_id": "electronics",
        "condition": "good",
        "price": {"amount": 399, "currency": "EUR", "negotiable": True},
        "location": {"country": "ES", "city": "Madrid", "shipping": True},
        "tags": ["iphone", "apple", "smartphone"],
    })
    print(f"Created listing: {new_listing['id']}")

    # Step 6: Publish
    published = call_tool("publish_listing", {
        "id_or_slug": new_listing["slug"],
    })
    print(f"Published: {published['status']}")

if __name__ == "__main__":
    main()

Esempio 4: Traccia eventi analytics

Scenario: Un'applicazione frontend invia eventi analytics a Owning per tracciare visualizzazioni di pagina, ricerche, registrazioni e visualizzazioni di annunci. Questo endpoint è pubblico e fire-and-forget — restituisce sempre 202 Accepted.

Privacy

Gli IP dei client sono hashati (SHA-256 + salt) prima della memorizzazione. Gli IP raw non vengono mai persistiti.

Tipi di evento validi

  • page_view — include path, referrer
  • signup — include user_id
  • listing_created — include user_id, listing_id
  • search — include query, results_count
  • listing_view — include listing_id

curl

# Track a page view
curl -s -X POST https://api.owning.pro/api/track   -H "Content-Type: application/json"   -d '{"event":"page_view","path":"/listings/bavaria-s36-coupe","referrer":"https://google.com"}'
# → 202 {"ok":true}

# Track a search
curl -s -X POST https://api.owning.pro/api/track   -H "Content-Type: application/json"   -d '{"event":"search","query":"yacht","results_count":142,"path":"/listings?q=yacht"}'
# → 202 {"ok":true}

TypeScript

// Fire-and-forget analytics tracking
function track(event: string, data: Record<string, unknown> = {}) {
  fetch("https://api.owning.pro/api/track", {
    method: "POST",
    headers: { "Content-Type": "application/json" },
    body: JSON.stringify({ event, ...data }),
  }).catch(() => {}); // silently fail — best-effort
}

track("page_view", { path: window.location.pathname, referrer: document.referrer });
track("search", { query: "yacht", results_count: 142 });

Python

import requests

def track(event: str, **data):
    """Send analytics event (fire-and-forget)."""
    try:
        requests.post("https://api.owning.pro/api/track",
            json={"event": event, **data}, timeout=5)
    except Exception:
        pass  # best-effort

track("page_view", path="/listings", referrer="https://google.com")
track("search", query="yacht", results_count=142)

Esempio 5: Promuovi un annuncio (Premium)

Scenario: Un venditore promuove il proprio annuncio con una promozione premium featured via checkout Stripe, poi verifica lo stato premium.

Stato funzionalità: In sviluppo

Lo schema DB per annunci premium (premium_type, premium_until) è attivo. Gli endpoint checkout e webhook Stripe sono in fase di scaffolding. Gli esempi mostrano la superficie API pianificata.

Tipi premium

  • featured — top of search results and category pages
  • urgent — urgent badge and priority placement

curl (pianificato)

# Step 1: Initiate premium checkout (JWT — listing owner only)
curl -s -X POST https://api.owning.pro/api/listings/lst_01J.../premium   -H "Authorization: Bearer <jwt>"   -H "Content-Type: application/json"   -d '{"premium_type":"featured","duration_days":7}'
# → 200 {"checkout_url":"https://checkout.stripe.com/c/pay/cs_...","session_id":"cs_...","premium_type":"featured","amount":499,"currency":"eur","duration_days":7}

# Step 2: Check premium status (public)
curl -s https://api.owning.pro/api/listings/lst_01J.../premium-status
# → 200 {"listing_id":"lst_01J...","premium_type":"featured","premium_until":"2026-07-18T18:00:00.000Z","is_active":true}

TypeScript (pianificato)

async function promoteListing(listingId: string, jwt: string, premiumType: "featured" | "urgent", durationDays = 7) {
  const res = await fetch(`https://api.owning.pro/api/listings/${listingId}/premium`, {
    method: "POST",
    headers: { "Authorization": `Bearer ${jwt}`, "Content-Type": "application/json" },
    body: JSON.stringify({ premium_type: premiumType, duration_days: durationDays }),
  });
  const data = await res.json();
  window.location.href = data.checkout_url; // redirect to Stripe
}

async function getPremiumStatus(listingId: string) {
  const res = await fetch(`https://api.owning.pro/api/listings/${listingId}/premium-status`);
  return res.json();
}

Python (pianificato)

import requests

def promote_listing(listing_id: str, jwt: str, premium_type: str, duration_days: int = 7):
    res = requests.post(f"https://api.owning.pro/api/listings/{listing_id}/premium",
        headers={"Authorization": f"Bearer {jwt}", "Content-Type": "application/json"},
        json={"premium_type": premium_type, "duration_days": duration_days})
    return res.json()

def get_premium_status(listing_id: str):
    res = requests.get(f"https://api.owning.pro/api/listings/{listing_id}/premium-status")
    return res.json()

Suggerimenti e best practice

Scegliere tra REST API e MCP Server

Usa la REST API quando…Usa il MCP Server quando…
Hai bisogno di controllo granulare su HTTP (header personalizzati, streaming, caching)Stai costruendo un agente IA che usa un LLM per decidere le azioni
Stai integrando in un codebase esistente basato su HTTPVuoi descrizioni degli strumenti e parametri tipizzati per l'LLM
Hai bisogno di endpoint non coperti dagli strumenti MCP (es. auth, schema)Vuoi codice più semplice senza boilerplate HTTP
Stai consumando direttamente i feed Markdown/JSONStai usando un client che supporta MCP nativamente (Claude Desktop, Cursor, ecc.)

Gestione rate limit

  • Memorizza in cache i risultati di ricerca — se cerchi ripetutamente, salva i risultati localmente per evitare di raggiungere i rate limit.
  • Usa API key per limiti più alti — le richieste autenticate ottengono 300 req/min contro 100 req/min non autenticate.
  • Carica immagini in batch — hai 50 caricamenti/giorno. Carica tutte le immagini di un annuncio prima di crearlo.
  • Gestisci le risposte 429 — controlla l'header Retry-After e fai backoff di conseguenza.

Sicurezza

  • Non hardcodare mai le API key — usa variabili d'ambiente o un secrets manager.
  • Usa permessi minimi — se devi solo leggere, crea una chiave di sola lettura.
  • Ruota le chiavi regolarmente — elimina le chiavi vecchie e creane di nuove periodicamente.
  • Usa solo HTTPS — tutti gli endpoint Owning sono HTTPS. Non usare mai HTTP.
Servono più dettagli?

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