// tickerapi vs polygon.io

TickerAPI vs Polygon.io

Polygon.io (now Massive) delivers real-time tick-level data across stocks, options, forex, and crypto. TickerAPI is built for a different job — pre-computed categories and state changes your AI agent can act on directly.

get started read the docs

// derived data

Categories, not raw bars.

Polygon.io gives you granular market data — OHLCV aggregates, tick-level trades, and real-time snapshots. TickerAPI takes that same underlying data and pre-computes it into categorical facts your agent can act on directly.

Polygon.io raw OHLCV aggregates

// /v2/aggs/ticker/AAPL/range/1/day
{
  "results": [{
    "o": 182.15,
    "h": 184.95,
    "l": 181.43,
    "c": 184.25,
    "v": 62338249,
    "t": 1705276800000
  }]
}

// RSI endpoint (separate call)
"values": [{
  "value": 55.23,
  "timestamp": 1660564800000
}]

TickerAPI pre-computed, categorical

// GET /v1/summary/AAPL
{
  "momentum": {
    "rsi_zone": "neutral_high",
    "macd_state": "expanding_positive",
    "divergence_detected": false
  },
  "trend": {
    "direction": "uptrend",
    "ma_alignment": "aligned_bullish",
    "volume_confirmation": "confirmed"
  },
  "volatility": {
    "regime": "normal",
    "squeeze_active": false
  }
}

// where each shines

Different tools, different strengths.

	TickerAPI	Polygon.io
Best for	AI agents & automated pipelines	Real-time data & quantitative systems
Data format	✓ Derived categories	Raw OHLCV, tick, and aggregate data
Real-time streaming	End-of-day focus	✓ WebSocket streaming, tick-level
Technical indicators	✓ Categorical — trend, momentum, volatility	SMA, EMA, RSI, MACD (numeric)
State change tracking	✓ Automatic, all fields, all tickers	Snapshots only — you build the diff
MCP support	✓ Native MCP server	✓ Official MCP server
Asset coverage	US stocks, ETFs & crypto	✓ Stocks, options, forex, crypto
Scan endpoints	✓ 6 built-in screeners	Snapshots with basic filtering
SDKs	✓ Python, Node.js, Go	✓ Python, JS, Go, Kotlin

// state changes

See exactly what changed, and when.

Polygon.io gives you snapshots of current market state. TickerAPI tracks what changed between snapshots — for every ticker on your watchlist, in a single call.

Polygon.io market snapshot

// snapshot: current state only
{
  "ticker": "AAPL",
  "day": {
    "o": 182.15,
    "c": 184.25,
    "v": 62338249
  }
}
// what changed since yesterday?
// which fields transitioned?
// you build the diff logic

TickerAPI structured state changes

// GET /v1/watchlist/changes
{
  "changes": {
    "AAPL": [
      {
        "field": "rsi_zone",
        "from":  "neutral",
        "to":    "overbought"
      },
      {
        "field": "squeeze_active",
        "from":  false,
        "to":    true
      }
    ]
  },
  "tickers_changed": 1
}

// why it matters for ai

Built for agents, not trading desks.

Polygon.io is an excellent raw data platform — real-time streaming, tick-level granularity, and multi-asset coverage. TickerAPI is built for a different use case: giving your AI agent derived, categorical data it can act on without human interpretation.

Facts, not raw bars

Polygon.io offers SMA, EMA, RSI, and MACD endpoints — but they return raw numeric values. TickerAPI returns trend, momentum, volatility, and more as pre-computed categories in a single /summary call. No threshold logic needed.

State transitions, not snapshots

Polygon.io's snapshot endpoints show you current market state. TickerAPI shows the transition: "from": "neutral" → "to": "overbought". Your agent sees what changed across your entire watchlist — no diffing logic required.

Fewer wasted tokens

Polygon.io responses contain dense tick-level and aggregate data — great for backtesting engines. But feeding that volume into an LLM burns tokens on data it can't reason about well. TickerAPI returns compact categories — a fraction of the tokens, with more actionable context.

Scan and discover

Polygon.io has snapshots you can filter by ticker range. TickerAPI includes dedicated scan endpoints for oversold stocks, breakout candidates, and unusual volume — your agent can discover opportunities without building screening infrastructure.

// historical context

Historical context, not just current state.

Polygon.io tells you where a ticker is right now. TickerAPI tells you where it's been before and what happened next. The events endpoint returns every time a ticker entered a given state, with pre-computed aftermath performance at multiple lookahead windows.

Polygon.io manual pipeline

// step 1: pull 5 years of daily bars
// GET /v2/aggs/ticker/AAPL/range/1/day/...

// step 2: compute RSI for each day
// step 3: find deep_oversold crossings
// step 4: pull forward prices at 5d, 10d...
// step 5: calculate aftermath returns

// no pre-computed events endpoint
// no aftermath performance data
// you build the entire pipeline

TickerAPI pre-computed events + aftermath

// 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

Pricing at a glance.

People searching for Polygon alternatives are often price-sensitive. Here's how the two compare.

	TickerAPI	Polygon.io
Free tier	✓ 250 req/day, all endpoints	EOD data only, limited calls
Starting price	$25/mo (Plus)	$29/mo (Starter, stocks only)
Includes at entry	✓ 50k req/day, events + aftermath, 2yr history	15-min delayed data, 5yr bars, unlimited calls
Full access	$50/mo (Pro)	Scales up for real-time, options, forex

Start building.

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

try TickerAPI read the docs