// stock market api

The first stock market API built for agents.

Pre-computed, categorical facts instead of raw OHLCV. Your agent gets answers, not data to process.

// the difference

Raw data vs. categorical facts.

Traditional stock market APIs return rows of OHLCV data. Your agent then needs to compute indicators, determine trend direction, classify momentum state, and figure out what it all means. TickerAPI does that computation for you and returns the answer directly.

traditional stock api

json 50 rows of OHLCV

// 500+ tokens of raw OHLCV data
// Your agent has to figure out
// what any of this means

[
  {
    "date": "2026-03-28",
    "open": 213.50,
    "high": 216.82,
    "low": 212.10,
    "close": 215.74,
    "volume": 48293100
  },
  {
    "date": "2026-03-27",
    "open": 210.25,
    "high": 214.10,
    "low": 209.80,
    "close": 213.50,
    "volume": 52107300
  },
  // ... 47 more rows
]

tickerapi

json one GET request

// Pre-computed facts your agent
// already understands

{
  "ticker": "AAPL",
  "trend": {
    "direction": "uptrend",
    "duration_days": 12,
    "volume_confirmation": "confirmed"
  },
  "momentum": {
    "rsi_zone": "neutral_high",
    "macd_state": "expanding_positive"
  },
  "volatility": {
    "regime": "normal",
    "squeeze_active": false
  },
  "support_level": {
    "distance_band": "moderate",
    "status": "intact"
  }
}

// how we compare

Not another raw data provider.

Most stock market APIs return the same thing: OHLCV bars and maybe some indicators. TickerAPI does the computation and returns the conclusions.

TickerAPI Traditional APIs

Response format Categorical facts Raw OHLCV / numbers

Indicator computation Pre-computed You build it

LLM compatibility Native vocabulary Needs prompt engineering

Context window usage Compact Token-heavy

Infrastructure needed None Sync, cron, pipelines

Historical pattern analysis Built-in events API Build your own

vs Alpha Vantage → vs Polygon.io → vs Twelve Data → vs Massive → vs EODHD → vs FMP →

// how it works

Plain HTTP. Bearer token. JSON back.

Standard GET requests. No SDK required. Works with any language, any framework, any agent runtime.

terminal

$ curl https://api.tickerapi.ai/v1/summary/AAPL \
  -H "Authorization: Bearer tapi_your_key"

GET /v1/summary/{ticker}

Full factual snapshot: trend, momentum, volatility, volume, support/resistance, and fundamentals for any ticker.

GET /v1/scan/oversold

Screener that returns oversold stocks ranked by severity, with condition rarity and volume context.

GET /v1/compare

Side-by-side comparison of multiple tickers with divergence analysis across all dimensions.

GET /v1/events

Historical band transitions with aftermath data. When did AAPL last enter oversold, and what happened next?

GET /v1/watchlist/changes

Day-over-day state changes for your saved tickers. Monitor a portfolio with one call.

GET /v1/scan/breakouts

Stocks breaking through resistance with volume confirmation and historical breakout success rates.

full API reference →

// screeners

Scan 11,000+ assets in one call.

Six screener endpoints cover the most common scans: oversold, overbought, breakouts, unusual volume, undervalued, and insider activity. Each returns ranked results with context your agent can reason about immediately.

json GET /v1/scan/oversold?min_severity=deep_oversold

{
  "matches": [
    {
      "ticker": "SVC",
      "rsi_zone": "deep_oversold",
      "condition_rarity": "extremely_rare",
      "volume_context": "spike",
      "trend_context": "strong_downtrend"
    },
    "...": // more matches
  ],
  "total_scanned": 11,096
}

Condition rarity

Every match includes how rare the condition is historically for that specific asset. An "extremely_rare" oversold reading means something different than a routine dip.

Volume confirmation

Volume context tells your agent whether the move is backed by real participation or just low-liquidity noise.

Sector context

Pro tier includes sector-wide data: how many stocks in the sector are oversold, the sector's own RSI zone, and whether the asset agrees with its sector.

10,800+ US stocks

1,500+ ETFs

200+ Crypto

Daily Refresh after close

// works everywhere