Developer Guide – DriftMind API

Overview

DriftMind is a cold-start, self-adaptive forecasting engine designed for fast data environments. You create a forecaster, feed time-aligned observations, then request forecasts and anomaly scores.

Authentication

All requests require an API token passed via the Auth header:

Auth: <YOUR_API_TOKEN>

Environment setup

export DRIFTMIND_TOKEN="your-token-here"

$Env:DRIFTMIND_TOKEN="your-token-here"

Quickstart

The golden path is: Create → Feed → Predict → Delete.

Create a Forecaster

Creates a multivariate forecaster and returns a forecasterId.

curl

curl -X POST https://api.thingbook.io/access/api/driftmind/v1/forecasters \
  -H "Auth: $DRIFTMIND_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "forecasterName": "Temperature Forecaster",
    "features": ["temperature", "humidity"],
    "inputSize": 30,
    "outputSize": 1
  }'

Python (requests)

import os
import requests

# Note the /v1/ at the end
BASE_URL = "https://api.thingbook.io/access/api/driftmind/v1"
headers = {"Auth": os.environ["DRIFTMIND_TOKEN"], "Content-Type": "application/json"}

payload = {
  "forecasterName": "Temperature Forecaster",
  "features": ["temperature", "humidity"],
  "inputSize": 30,
  "outputSize": 1
}

r = requests.post(f"{BASE_URL}/forecasters", json=payload, headers=headers)
r.raise_for_status()
forecaster_id = r.json()["forecasterId"]
print("forecasterId:", forecaster_id)

Java (JAX-RS Client)

import jakarta.ws.rs.client.Client;
import jakarta.ws.rs.client.ClientBuilder;
import jakarta.ws.rs.client.Entity;
import jakarta.ws.rs.core.MediaType;
import jakarta.ws.rs.core.Response;

public class CreateForecasterExample {
  public static void main(String[] args) {
    String baseUrl = "https://api.thingbook.io/access/api/driftmind/v1";
    String token = System.getenv("DRIFTMIND_TOKEN");

    String payload = """
    {
      "forecasterName": "Temperature Forecaster",
      "features": ["temperature", "humidity"],
      "inputSize": 30,
      "outputSize": 1
    }
    """;

    Client client = ClientBuilder.newClient();
    Response resp = client.target(baseUrl + "/forecasters")
        .request(MediaType.APPLICATION_JSON)
        .header("Auth", token)
        .post(Entity.json(payload));

    String body = resp.readEntity(String.class);
    System.out.println(resp.getStatus() + " " + body);
  }
}

Feed Observations

Feed time-aligned arrays for each feature. All feature arrays must have the same length.

curl

curl -X POST https://api.thingbook.io/access/api/driftmind/v1/forecasters/abc123-xyz789/observations \
  -H "Auth: $DRIFTMIND_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "temperature": [18.0, 19.5, 20.1, 20.7],
    "humidity":    [0.62, 0.60, 0.58, 0.59]
  }'

Python

import os
import requests

BASE_URL = "https://api.thingbook.io/access/api/driftmind/v1"
headers = {"Auth": os.environ["DRIFTMIND_TOKEN"], "Content-Type": "application/json"}

forecaster_id = "abc123-xyz789"
payload = {
  "temperature": [18.0, 19.5, 20.1, 20.7],
  "humidity":    [0.62, 0.60, 0.58, 0.59]
}

# Note: POST to .../forecasters/{id}/observations
url = f"{BASE_URL}/forecasters/{forecaster_id}/observations"
r = requests.post(url, json=payload, headers=headers)
r.raise_for_status()
print(r.json())

Request Predictions

Request a forecast for a forecaster. If insufficient data exists, the API returns 422 FORECAST_NOT_READY.

curl -X GET https://api.thingbook.io/access/api/driftmind/v1/forecasters/abc123-xyz789/predictions \
  -H "Auth: $DRIFTMIND_TOKEN"

Not enough data (422)

{
  "error": "FORECAST_NOT_READY"
}

Understand the Response

The prediction response includes an overall anomaly score and a per-feature results map.

{
  "anomalyScore": 0.27,
  "numberOfClusters": 12,
  "features": {
    "temperature": {
      "timestamps": ["2025-12-31 10:00:00"],
      "predictions": [20.7],
      "upperConfidence": [21.3],
      "lowerConfidence": [20.1],
      "anomalyScore": 0.12,
      "forecastingMethod": "CLUSTER",
      "numberOfClusters": 4
    },
    "humidity": {
      "timestamps": ["2025-12-31 10:00:00"],
      "predictions": [0.59],
      "upperConfidence": [0.61],
      "lowerConfidence": [0.57],
      "anomalyScore": 0.42,
      "forecastingMethod": "CLUSTER",
      "numberOfClusters": 8
    }
  }
}

Error Handling

All errors are returned as:

{
  "error": "ERROR_CODE",
  "details": ["optional", "context"]
}

Get Forecaster Data

Retrieve the most recent observations currently held in the forecaster's memory buffer. This is useful for validation and debugging to ensure data is being fed correctly.

curl

curl -X GET https://api.thingbook.io/access/api/driftmind/v1/forecasters/abc123-xyz789/observations \
  -H "Auth: $DRIFTMIND_TOKEN"

Python (requests)

forecaster_id = "abc123-xyz789"
url = f"{BASE_URL}/forecasters/{forecaster_id}/observations"

r = requests.get(url, headers=headers)
r.raise_for_status()
print(r.json())

Java (JAX-RS Client)

String forecasterId = "abc123-xyz789";
Response resp = client.target(baseUrl + "/forecasters/" + forecasterId + "/observations")
    .request(MediaType.APPLICATION_JSON)
    .header("Auth", token)
    .get();

System.out.println(resp.readEntity(String.class));

Get Forecaster Details

Retrieve the specific configuration of a forecaster, including its input/output sizes, feature names, and internal parameters.

curl

curl -X GET https://api.thingbook.io/access/api/driftmind/v1/forecasters/abc123-xyz789 \
  -H "Auth: $DRIFTMIND_TOKEN"

Python (requests)

forecaster_id = "abc123-xyz789"
url = f"{BASE_URL}/forecasters/{forecaster_id}"

r = requests.get(url, headers=headers)
r.raise_for_status()
details = r.json()
print(f"Name: {details['forecasterName']}")
print(f"Config: {details['configuration']}")

Java (JAX-RS Client)

String forecasterId = "abc123-xyz789";
Response resp = client.target(baseUrl + "/forecasters/" + forecasterId)
    .request(MediaType.APPLICATION_JSON)
    .header("Auth", token)
    .get();

System.out.println(resp.readEntity(String.class));

List all Forecasters

Retrieve a list of all forecasters belonging to your API token, including metadata like creation time and usage statistics.

curl

curl -X GET https://api.thingbook.io/access/api/driftmind/v1/forecasters \
  -H "Auth: $DRIFTMIND_TOKEN"

Python (requests)

# Assumes BASE_URL and headers are defined
r = requests.get(f"{BASE_URL}/forecasters", headers=headers)
r.raise_for_status()
print(r.json())

Java (JAX-RS Client)

Client client = ClientBuilder.newClient();
Response resp = client.target(baseUrl + "/forecasters")
    .request(MediaType.APPLICATION_JSON)
    .header("Auth", token)
    .get();

System.out.println(resp.readEntity(String.class));

Delete a Forecaster

Deletes a forecaster and its associated data. This cannot be undone.

curl -X DELETE https://api.thingbook.io/access/api/driftmind/v1/forecasters/abc123-xyz789 \
  -H "Auth: $DRIFTMIND_TOKEN"

Success response

{
  "message": "FORECASTER_DELETED"
}

Reference Links

• Swagger UI (Interactive API Reference)
• Towards AI Article on Reflexive Memory