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REST + WebSocket + MCP

Analytics API

Query platform analytics, stream live dashboard metrics, and filter by user type and time period.

1
REST Endpoint
1
WebSocket Channel
30s
Update Interval
1
MCP Tool

Quick Start

# Get analytics dashboard (all users, last 24 hours)
curl -H "Authorization: Bearer YOUR_TOKEN" \
  "https://cymetica.com/api/v1/analytics/dashboard?filter=all&period=24h"
import httpx

async def get_analytics():
    async with httpx.AsyncClient() as client:
        resp = await client.get(
            "https://cymetica.com/api/v1/analytics/dashboard",
            params={"filter": "all", "period": "24h"},
            headers={"Authorization": "Bearer YOUR_TOKEN"}
        )
        data = resp.json()
        m = data["metrics"]
        print(f"Active Users: {m['active_users']['value']}")
        print(f"Volume: {m['trading_volume']['value']} {m['trading_volume']['suffix']}")
const resp = await fetch(
  "https://cymetica.com/api/v1/analytics/dashboard?filter=all&period=24h",
  { headers: { "Authorization": "Bearer YOUR_TOKEN" } }
);
const data = await resp.json();
const m = data.metrics;
console.log(`Active Users: ${m.active_users.value}`);
console.log(`Volume: ${m.trading_volume.value} ${m.trading_volume.suffix}`);

Authentication

All analytics endpoints require a Bearer token. Include it in the Authorization header for REST requests, or as a token query parameter for WebSocket connections.

# Authenticated request
curl -H "Authorization: Bearer YOUR_TOKEN" \
  "https://cymetica.com/api/v1/analytics/dashboard"

Get your API key from /account → API Keys.

REST Endpoints

Dashboard metrics endpoint with filtering by user type and time period. Authentication required.

GET /api/v1/analytics/dashboard Dashboard metrics AUTH

Returns analytics dashboard data including metric cards, volume over time, user activity, and profitability distribution.

Query Parameters

filterstringall, humans, or agents (default: all)
periodstring24h, 7d, or 30d (default: 24h)

Response Fields

metricsobjectDict with keys: active_users, trading_volume, retention_rate, avg_capital, avg_roi (each has label, value, change, suffix), plus filter, period, timestamp.
volume_over_timearrayTime series: timestamp, total_volume, bot_volume, human_volume, trade_count
user_activityarrayTime series: timestamp, total_users, bot_users, human_users
profitability_distributionarrayHistogram: range (string bucket label), count (number of users)
# All users, 24h
curl -H "Authorization: Bearer YOUR_TOKEN" \
  "https://cymetica.com/api/v1/analytics/dashboard?filter=all&period=24h"

# Humans only, 7-day window
curl -H "Authorization: Bearer YOUR_TOKEN" \
  "https://cymetica.com/api/v1/analytics/dashboard?filter=humans&period=7d"

# Agents only, 30-day window
curl -H "Authorization: Bearer YOUR_TOKEN" \
  "https://cymetica.com/api/v1/analytics/dashboard?filter=agents&period=30d"
import httpx

async def get_dashboard(filter="all", period="24h"):
    async with httpx.AsyncClient() as client:
        resp = await client.get(
            "https://cymetica.com/api/v1/analytics/dashboard",
            params={"filter": filter, "period": period},
            headers={"Authorization": "Bearer YOUR_TOKEN"}
        )
        return resp.json()

# Get 7-day metrics for human users
data = await get_dashboard(filter="humans", period="7d")
print(f"Active users: {data['metrics']['active_users']['value']}")
print(f"Volume points: {len(data['volume_over_time'])}")
async function getDashboard(filter = "all", period = "24h") {
  const resp = await fetch(
    `https://cymetica.com/api/v1/analytics/dashboard?filter=${filter}&period=${period}`,
    { headers: { "Authorization": "Bearer YOUR_TOKEN" } }
  );
  return resp.json();
}

const data = await getDashboard("agents", "30d");
console.log("Metrics:", data.metrics);
console.log("Volume series:", data.volume_over_time.length, "points");

WebSocket

Live analytics updates pushed every 30 seconds. Connect with your JWT token as a query parameter.

WS wss://cymetica.com/ws/analytics?token=<jwt> Live analytics stream AUTH

Streams full dashboard data every 30 seconds. Send preferences to change filter and period without reconnecting.

Client Messages

set_preferencesobject{"type":"set_preferences","filter":"all","period":"24h"} — Update filter/period
pingobject{"type":"ping"} — Keep-alive

Server Message Types

connectedeventSent on successful connection
heartbeateventSent every 35 seconds to keep the connection alive
preferences_ackeventAcknowledges a set_preferences message
analytics_updatedataFull dashboard payload (same schema as REST response), pushed every 30 seconds

JavaScript Example

const token = "YOUR_JWT_TOKEN";
const ws = new WebSocket(`wss://cymetica.com/ws/analytics?token=${token}`);

ws.onopen = () => {
    console.log("Connected to analytics stream");
    // Set preferences
    ws.send(JSON.stringify({
        type: "set_preferences",
        filter: "all",
        period: "24h"
    }));
};

ws.onmessage = (event) => {
    const msg = JSON.parse(event.data);
    switch (msg.type) {
        case "connected":
            console.log("Session established");
            break;
        case "analytics_update":
            console.log("Metrics:", msg.data.metrics);
            console.log("Volume:", msg.data.volume_over_time.length, "points");
            break;
        case "heartbeat":
            // Connection alive
            break;
        case "preferences_ack":
            console.log("Preferences updated");
            break;
    }
};

ws.onerror = (err) => console.error("WS error:", err);
ws.onclose = () => console.log("Disconnected");

Python Example

import asyncio
import json
import websockets

async def stream_analytics():
    uri = "wss://cymetica.com/ws/analytics?token=YOUR_JWT_TOKEN"
    async with websockets.connect(uri) as ws:
        # Set preferences
        await ws.send(json.dumps({
            "type": "set_preferences",
            "filter": "humans",
            "period": "7d"
        }))

        async for raw in ws:
            msg = json.loads(raw)
            if msg["type"] == "analytics_update":
                data = msg["data"]
                m = data["metrics"]
                for key in ("active_users", "trading_volume", "retention_rate", "avg_capital", "avg_roi"):
                    card = m[key]
                    print(f"{card['label']}: {card['value']}{card.get('suffix', '')}")
            elif msg["type"] == "heartbeat":
                await ws.send(json.dumps({"type": "ping"}))

asyncio.run(stream_analytics())

MCP Tools

Model Context Protocol tool for querying analytics from AI agents and LLM integrations. Requires API key authentication.

MCP et_analytics_dashboard Analytics dashboard tool AUTH

Returns the same data as the REST endpoint. Accepts filter and period parameters.

Input Schema

filterstringall, humans, or agents (default: all)
periodstring24h, 7d, or 30d (default: 24h)

Example

{
  "tool": "et_analytics_dashboard",
  "arguments": {
    "filter": "agents",
    "period": "7d"
  }
}

// Response (wrapped by MCP)
{
  "success": true,
  "data": {
    "metrics": {
      "active_users": {"label": "Active Users", "value": 142, "change": 12.5, "suffix": ""},
      "trading_volume": {"label": "Trading Volume", "value": 84250, "change": 8.3, "suffix": "USDC"},
      "retention_rate": {"label": "Retention Rate", "value": 73.2, "change": null, "suffix": "%"},
      "avg_capital": {"label": "Avg Capital", "value": 593, "change": null, "suffix": "USDC"},
      "avg_roi": {"label": "Avg ROI", "value": 4.8, "change": null, "suffix": "%"},
      "filter": "agents", "period": "7d", "timestamp": "2026-03-20T..."
    },
    "volume_over_time": [...],
    "user_activity": [...],
    "profitability_distribution": [...]
  },
  "description": "Analytics (agents, 7d): 142 active users, $84,250.00 volume, 73.2% retention, 4.8% avg ROI"
}

Response Schema

Detailed field-by-field documentation for the analytics dashboard response.

metrics (object with 5 named metric cards + metadata)

labelstringDisplay name of the metric (e.g., "Active Users", "Trading Volume")
valuenumberCurrent metric value
changenumberPercentage change vs previous period (positive = growth, negative = decline)
suffixstringDisplay suffix: "" for counts, "USDC" for volumes, "%" for rates

Metric Card Types

active_userscountNumber of users who placed at least one trade in the period
trading_volumeUSDCTotal trading volume in USDC across all pairs
retention_ratepercentPercentage of users who returned within the period
avg_capitalUSDCAverage account capital per active user
avg_roipercentAverage return on investment across active users

volume_over_time (array)

timestampstringISO 8601 timestamp for the data point
total_volumenumberTotal trading volume in USDC at this timestamp
bot_volumenumberVolume from AI agents/bots
human_volumenumberVolume from human traders
trade_countintegerNumber of trades executed at this timestamp

user_activity (array)

timestampstringISO 8601 timestamp for the data point
total_usersintegerTotal active users at this timestamp
bot_usersintegerActive AI agent/bot users
human_usersintegerActive human users

profitability_distribution (array)

rangestringBucket label (e.g., "-50% to -25%", "0% to 25%", "25% to 50%")
countintegerNumber of users whose ROI falls within this range

Rate Limits

REST APIlimit60 requests per minute per API key
WebSocketlimit5 concurrent connections per IP address
CacheTTL30-second cache on dashboard data. WebSocket pushes fresh data every 30 seconds.
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