// sveltekit

Market context for
SvelteKit apps.

Use the TickerDB Node.js SDK in SvelteKit server load functions and API routes. Pre-computed financial data, no infrastructure.

try for free playground

// setup

Install the SDK.

Add tickerdb to your SvelteKit project.

terminal

npm install tickerdb

Set TICKERDB_KEY in your .env file.

// usage

Works where SvelteKit runs server-side.

Call the SDK in server load functions and API routes. Data never touches the client bundle.

Server Load Function src/routes/stock/[ticker]/+page.server.ts

import { TickerDB } from "tickerdb";
const client = new TickerDB({ apiKey: process.env.TICKERDB_KEY });

export async function load({ params }) {
  const { data } = await client.summary(params.ticker);
  return { summary: data };
}

API Route src/routes/api/events/[ticker]/+server.ts

import { json } from "@sveltejs/kit";
import { TickerDB } from "tickerdb";

const client = new TickerDB({ apiKey: process.env.TICKERDB_KEY });

export async function GET({ params, url }) {
  const field = url.searchParams.get("field") ?? "rsi_zone";
  const band = url.searchParams.get("band") ?? "deep_oversold";
  const { data } = await client.summary(params.ticker, { field, band });
  return json(data);
}

// state changes

Track state changes effortlessly.

Most market data APIs return point-in-time snapshots. TickerDB tracks state transitions — your agent sees what changed, not just what is.

API Route src/routes/api/watchlist/changes/+server.ts

import { json } from "@sveltejs/kit";
import { TickerDB } from "tickerdb";

const client = new TickerDB({ apiKey: process.env.TICKERDB_KEY });

export async function GET() {
  const { data } = await client.watchlistChanges();

  // each change includes from/to transitions
  // e.g. trend: "downtrend" → "uptrend"
  return json(data);
}

json

{
  "timeframe": "daily",
  "run_date": "2026-03-28",
  "changes": {
    "AAPL": [
      {
        "field": "rsi_zone",
        "from": "neutral",
        "to": "oversold"
      },
      {
        "field": "trend_direction",
        "from": "uptrend",
        "to": "downtrend"
      }
    ]
  },
  "ticker_context": {
    "AAPL": {
      "last_changed_date": "2026-03-28"
    }
  },
  "tickers_checked": 2,
  "tickers_changed": 1
}

// ai integration

Feed an AI agent.

TickerDB's categorical-first output is designed for LLMs. Feed a summary directly into a prompt — the model already understands terms like "oversold" and "strong_uptrend" without extra context.

API Route src/routes/api/briefing/[ticker]/+server.ts

import { json } from "@sveltejs/kit";
import { TickerDB } from "tickerdb";
import Anthropic from "@anthropic-ai/sdk";

const client = new TickerDB({ apiKey: process.env.TICKERDB_KEY });
const anthropic = new Anthropic();

export async function GET({ params }) {
  const { data } = await client.summary(params.ticker);

  const msg = await anthropic.messages.create({
    model: "claude-sonnet-4-20250514",
    max_tokens: 1024,
    messages: [{
      role: "user",
      content: `Analyze this stock data:\n${JSON.stringify(data)}`,
    }],
  });

  return json({ analysis: msg.content[0].text });
}

// what your agent sees

What your agent sees.

Every tool returns categorical facts — not raw OHLCV data. Your agent can branch on "oversold" without needing to know what RSI > 70 means.

json

{
  "ticker": "NVDA",
  "data_status": "eod",
  "as_of_date": "2026-04-11",
  "trend": {
    "direction": "strong_uptrend",
    "ma_alignment": "aligned_bullish"
  },
  "momentum": {
    "rsi_zone": "overbought",
    "macd_state": "expanding_positive",
    "direction": "accelerating"
  },
  "volatility": {
    "regime": "normal",
    "regime_trend": "stable"
  },
  "fundamentals": {
    "valuation_zone": "fair_value",
    "pe_vs_historical_zone": "premium",
    "last_earnings_surprise": "beat"
  }
}