ChatGPT plugin analytics in 5 minutes

1. Create an account, add a connector slug, copy the API key once.
2. In the GPT action / Apps SDK handler, POST phrase + tool_name with platform chatgpt. Do not call from the model prompt.
3. Confirm at your dashboard. Optional: outcome, latency_ms, result_count.

A logging failure must not change the action result. Use a short timeout and ignore errors.

await fetch("https://www.locksteps.ai/v1/analytics/ingest", {
  method: "POST",
  headers: {
    Authorization: "Bearer YOUR_API_KEY",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    connector_id: "YOUR_CONNECTOR_ID",
    platform: "chatgpt",
    phrase: userPhrase,
    tool_name: "your_action",
    ts: new Date().toISOString(),
    event_id: crypto.randomUUID(),
    session_id: sessionId, // one id per chat; reuse for FREE conversions
  }),
});

import json
from datetime import datetime, timezone
from urllib.request import Request, urlopen

INGEST_URL = "https://www.locksteps.ai/v1/analytics/ingest"

# phrase is what the person asked. user_intent and query are accepted aliases.
def log_connector_event(connector_id, api_key, phrase, tool_name, event_id, platform=None):
    payload = {
        "connector_id": connector_id,
        "platform": platform,
        "phrase": phrase,
        "tool_name": tool_name,
        "ts": datetime.now(timezone.utc).isoformat(),
        "event_id": event_id,
    }
    request = Request(
        INGEST_URL,
        data=json.dumps(payload).encode(),
        headers={
            "Authorization": f"Bearer {api_key}",
            "Content-Type": "application/json",
        },
        method="POST",
    )
    with urlopen(request, timeout=2) as response:
        response.read()

Endpoint: https://www.locksteps.ai/v1/analytics/ingest. Field reference: ingest API. Product hook: for plugin developers.