Real results in
5 minutes.

No complex configuration. No vendor lock-in. Just industrial-grade telemetry infrastructure, pre-configured for your sensors.

Create a dataset.

Head to the Xpectra Console, name your mission, and generate an ingestion key. This key is your ticket to standardized, high-volume telemetry persistent storage.

API Key Generated

x_prd_7829...ae21

Ready for Ingest

Point your client.

Choose your preferred environment. Use our native libraries for Python, C++, or LabVIEW to start streaming high-resolution telemetry in minutes.

1. Python SDK

python_client.py

# pip install xpectra-client
from xpectra import Client
import pandas as pd

client  = Client(api_key="sk_xp_...")
dataset = client.experiments.get("<experiment-uuid>")                .datasets.get("My Dataset")

# Batch — ingest a CSV or any DataFrame
dataset.ingest(pd.read_csv("sensor_data.csv"))

# Live — stream from any generator, zero buffering
from datetime import datetime, timezone
dataset.ingest_live(
    (datetime.now(timezone.utc), "voltage_01", v)
    for v in sensor_feed()
)

2. C++ / gRPC

main.cpp

#include <xpectra.hpp>

int main() {
    // 1. Connect to the Xpectra Core with your key
    auto client = xpectra::SDK::Connect("xp_live_a1b2c3d4");

    // 2. Stream telemetry directly from your main loop
    client->stream({
        .channel = "vibration_01",
        .value = 104.2,
        .unit = "G"
    });

    return 0;
}

3. LabVIEW Plugin

Standardized VIs for high-speed streaming without middleware.

Watch data appear.

Open the Mission Control Playground. Your data is being validated, standardized, and stored in XpectraDB in real-time.

Open Playground

Real results in 5 minutes.