// tickerdb vs eodhd

TickerDB vs EODHD

EODHD covers 150,000+ tickers across 60+ global exchanges with 30+ years of history. TickerDB is built for a different job — pre-computed categories and state changes your AI agent can reason about directly.

get started read the docs

// derived data

Categories, not candles.

EODHD returns raw OHLCV data, fundamentals, and 100+ technical indicators across its global exchange coverage. TickerDB takes that same underlying data and pre-computes it into categorical facts your agent can act on directly.

EODHD raw EOD output

// /eod/AAPL.US response
[
  {
    "date": "2024-01-15",
    "open": 186.06,
    "high": 187.25,
    "low": 184.35,
    "close": 185.92,
    "volume": 65076600
  },
  // ... hundreds of rows
  // 30+ years of history available
]

// indicators, fundamentals: separate calls

TickerDB pre-computed, categorical

// GET /v1/summary/AAPL
{
  "momentum": {
    "rsi_zone": "overbought",
    "macd_state": "expanding_positive",
    "divergence_detected": true
  },
  "trend": {
    "direction": "strong_uptrend",
    "ma_alignment": "aligned_bullish"
  },
  "fundamentals": {
    "valuation_zone": "fair_value",
    "growth_zone": "high_growth"
  }
}

// where each shines

Different tools, different strengths.

	TickerDB	EODHD
Best for	AI agents & automated pipelines	Global historical data & broad coverage
Output format	✓ Pre-computed categories	Raw OHLCV and numeric fundamentals
Exchange coverage	US stocks, ETFs & crypto	✓ 60+ global exchanges, 150,000+ tickers
Historical depth	Current state + recent changes	✓ 30+ years of historical data
Technical indicators	✓ Categorical — trend, momentum, volatility	100+ numeric indicators
State change tracking	✓ Day-over-day and week-over-week diffs	Point-in-time values only
MCP support	✓ Native MCP server	✓ Official MCP server
Search / Filtering	✓ Queryable search (arbitrary filters)	✓ Screener API (market cap, sector, etc.)
Bulk download	Per-ticker endpoints	✓ Full exchange in one call
Token efficiency	✓ Compact categorical data	Verbose time series rows

// state changes

See exactly what changed, and when.

EODHD gives you the current state of a ticker's data. TickerDB tracks what changed between sessions — for every ticker on your watchlist, in a single call.

EODHD point-in-time data

// today's EOD data
{
  "close": 185.92,
  "volume": 65076600
}

// yesterday's EOD data (separate call)
{
  "close": 183.63,
  "volume": 62338249
}

// you compute the diff
// you determine what's notable

TickerDB structured state changes

// GET /v1/watchlist/changes
{
  "changes": {
    "AAPL": [
      {
        "field": "rsi_zone",
        "from":  "neutral",
        "to":    "overbought"
      },
      {
        "field": "trend_direction",
        "from":  "sideways",
        "to":    "uptrend"
      }
    ]
  },
  "tickers_changed": 1
}

// why it matters for ai

Built for agents, not data warehouses.

EODHD is an excellent data provider — global exchange coverage, 30+ years of history, and a comprehensive all-in-one bundle. TickerDB is built for a different use case: categorical output, state change tracking, and compact responses designed for LLM reasoning.

Interpretation built in

EODHD returns raw OHLCV and 100+ numeric indicators. Your agent still needs logic to interpret those numbers. TickerDB returns "rsi_zone": "overbought" and "trend_direction": "uptrend" — facts your agent can reason about directly.

State transitions, not snapshots

EODHD tells you what a ticker's data looks like right now. TickerDB shows what changed: "from": "neutral" → "to": "oversold". Your agent sees transitions across your entire watchlist without building diff logic.

Fewer wasted tokens

EODHD responses can contain hundreds of OHLCV rows per request — great for backtesting, but expensive to feed into an LLM. TickerDB returns a compact categorical summary — a fraction of the tokens, with more actionable context.

AI-first API design

EODHD's API was designed for traditional data consumers and does that job well. TickerDB was built from the ground up for AI agents — with a native MCP server, token-efficient responses, and output LLMs can reason on directly.

// historical context

Historical context, not just current state.

EODHD gives you years of raw price history. TickerDB goes further with the summary endpoint's event mode, which returns every time a ticker entered a given state, with pre-computed aftermath performance at multiple lookahead windows.

EODHD manual pipeline

// step 1: pull years of daily data
// GET /eod/AAPL.US?from=2021-01-01

// step 2: compute RSI from raw OHLCV
// step 3: find deep_oversold crossings
// step 4: calculate forward returns
// step 5: categorize aftermath bands

// no computed events or aftermath
// raw data + your pipeline

TickerDB pre-computed events + aftermath

// GET /v1/summary/AAPL?field=rsi_zone&band=deep_oversold
{
  "events": [{
    "date": "2025-08-05",
    "band": "deep_oversold",
    "prev_band": "oversold",
    "aftermath": {
      "5d":  { "performance": "moderate_gain" },
      "10d": { "performance": "sharp_gain" },
      "20d": { "performance": "slight_gain" }
    }
  }],
  "total_occurrences": 7
}

// pricing

Pricing at a glance.

EODHD starts cheap for raw EOD data. Here's how the value compares when you factor in what each plan includes.

	TickerDB	EODHD
Free tier	250 requests/day, 3 filters, 30-day history	20 req/day
Starting price	$29/mo (Plus)	$19.99/mo (EOD data only)
Includes at entry	50,000 req/day, 5 filters, 2yr history, 1 webhook	100k req/day, 1000/min, EOD + intraday + live APIs
Full access	$79/mo (Pro)	$99.99/mo (All-In-One)

Start building.

No credit card required. See derived data and state changes in your first API call.

try TickerDB read the docs