TickerAPI vs EODHD
EODHD covers 150,000+ tickers across 60+ global exchanges with 30+ years of history. TickerAPI is built for a different job — pre-computed categories and state changes your AI agent can reason about directly.
Categories, not candles.
EODHD returns raw OHLCV data, fundamentals, and 100+ technical indicators across its global exchange coverage. TickerAPI takes that same underlying data and pre-computes it into categorical facts your agent can act on directly.
// /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
// 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" } }
Different tools, different strengths.
| TickerAPI | 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 |
| Screener | ✓ 6 built-in screeners | ✓ 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 |
See exactly what changed, and when.
EODHD gives you the current state of a ticker's data. TickerAPI tracks what changed between sessions — for every ticker on your watchlist, in a single call.
// 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
// GET /v1/watchlist/changes { "changes": { "AAPL": [ { "field": "rsi_zone", "from": "neutral", "to": "overbought" }, { "field": "trend_direction", "from": "sideways", "to": "uptrend" } ] }, "tickers_changed": 1 }
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. TickerAPI 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. TickerAPI 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. TickerAPI 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. TickerAPI 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. TickerAPI 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, not just current state.
EODHD gives you years of raw price history. TickerAPI goes further with an events endpoint that returns every time a ticker entered a given state, with pre-computed aftermath performance at multiple lookahead windows.
// 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
// GET /v1/events?ticker=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 at a glance.
EODHD starts cheap for raw EOD data. Here's how the value compares when you factor in what each plan includes.
| TickerAPI | EODHD | |
|---|---|---|
| Free tier | 250 req/day, all endpoints | 20 req/day |
| Starting price | $25/mo (Plus) | $19.99/mo (EOD data only) |
| Includes at entry | 50k req/day, events + aftermath, 2yr history | Daily prices, splits, dividends, no intraday |
| Full access | $50/mo (Pro) | Higher tiers for intraday + fundamentals |
Start building.
No credit card required. See derived data and state changes in your first API call.