analytics

Analytics

Anomaly Detection

Anomaly Detection is a analytics capability available through Nixtla TimeGPT on Aweb. Detect anomalies and outliers in time series data. Access it through a single unified API with automatic failover and intelligent routing.

Try Anomaly DetectionAPI docs

Best for

Highest quality

Nixtla TimeGPT

Premium tier

Contract

Max Latency30000ms

Providers (1)

ProviderScoreQualityPricing
Nixtla TimeGPTDEFAULT
94premiumstandard

Quick start

Call Anomaly Detection through Alfred — automatic provider selection, failover, and load balancing included.

cURL

curl -X POST https://api.alfred-ai.app/v1/execute \
  -H "Authorization: Bearer $ALFRED_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "capability": "analytics.anomaly-detection",
    "input": { "prompt": "Hello world" }
  }'

TypeScript

import { Alfred } from '@alfred/core';

const alfred = new Alfred({ apiKey: process.env.ALFRED_API_KEY });

// Alfred automatically selects the best provider
const result = await alfred.execute({
  capability: 'analytics.anomaly-detection',
  input: { prompt: 'Hello world' },
});

console.log(result.output);

Orchestration pipeline

import { Alfred } from '@alfred/core';

const alfred = new Alfred({ apiKey: process.env.ALFRED_API_KEY });

// Multi-step pipeline with automatic failover
const result = await alfred.orchestrate({
  steps: [
    { id: 'step1', capability: 'analytics.anomaly-detection', input: { prompt: 'Hello world' } },
    { id: 'step2', capability: 'llm.chat', dependsOn: ['step1'],
      input: { prompt: 'Summarize: $step1.output' } },
  ],
});

Related Analytics capabilities

Event Tracking

analytics

Funnel Analysis

analytics

Cohort Analysis

analytics

Session Replay

analytics

Feature Flags

analytics

A/B Testing

analytics

Getting started →API reference →All providers →All capabilities →