> For the complete documentation index, see [llms.txt](https://resolvedmarkets.com/llms.txt). Every docs page is also served as Markdown: append `.md` to its URL or send `Accept: text/markdown`.

# Get Market Summary

### GET /v1/markets/:id/summary — Get Market Summary

Aggregate statistics for a market: price ranges, spreads, per-side breakdowns. Aggregates over the market's entire lifetime, so it works for markets of any age — including closed/historical markets, not just recently active ones. NOTE: markets that have been live for months at high capture frequency (season-long sports, long-dated event markets) can exceed the server-side query timeout and return 500 — use /snapshots?interval= OHLC candles for those instead.

**Path parameters**

| Name | Type | Required | Description |
| --- | --- | --- | --- |
| `id` | string | yes | Market ID (conditionId) |

**Query parameters**

| Name | Type | Required | Default | Description |
| --- | --- | --- | --- | --- |
| `format` | string | no | json | Response encoding. csv and tsv return the rows as a flat file instead of a JSON envelope — the envelope moves to X-* response headers and nulls render as \N. REQUIRES SCALE OR ENTERPRISE (json is available on every tier). Works with includebook=true — the bids/asks ladders come through as compact JSON inside their cell, complete and parseable (pandas: df["bids"].apply(json.loads)). |

**Example response**

```json
{
  "market_id": "0x...",
  "crypto": "BTC",
  "timeframe": "5m",
  "snapshot_count": 5400,
  "avg_spread": 0.012,
  "avg_crypto_price": 67420.50,
  "sides": [...]
}
```