Market Analytics API: Arbitrage and Indicators

The Market Analytics API gives you programmatic access to CS2 market intelligence: scan for arbitrage across 40+ buy and sell providers, view category-level market cap indexes, compute technical indicators from composite OHLCV candles, and retrieve per-item analytics snapshots with full provider depth data.

GET /market/arbitrage

Scans buy-side and sell-side providers for cross-market arbitrage opportunities and ranks results by estimated net profit after fees. Tiers: Quant

curl -sS \
  -H "Authorization: Bearer $CS2C_API_KEY" \
  "https://api.cs2c.app/market/arbitrage?min_spread_pct=5&providers_buy=csmoney_m&providers_sell=buff163&limit=25"

import os

import cs2cap

configuration = cs2cap.Configuration(access_token=os.environ["CS2C_API_KEY"])

with cs2cap.ApiClient(configuration) as client:
    api = cs2cap.MarketIntelligenceApi(client)
    response = api.get_arbitrage_opportunities(
        limit=25,
        min_spread_pct=5,
        providers_buy=["csmoney_m"],
        providers_sell=["buff163"],
    )

print(client.sanitize_for_serialization(response))

import { Configuration, MarketIntelligenceApi } from "cs2cap";

const accessToken = process.env.CS2C_API_KEY;

if (!accessToken) {
  throw new Error("Set CS2C_API_KEY before running this example.");
}

const api = new MarketIntelligenceApi(new Configuration({ accessToken }));
const response = await api.getArbitrageOpportunities({
  limit: 25,
  minSpreadPct: 5,
  providersBuy: ["csmoney_m"],
  providersSell: ["buff163"],
});

console.log(response);

min_spread_pct

number

default:"1.0"

Minimum gross spread percentage to include. Results below this threshold are excluded.

providers_buy

string[]

Buy-side provider keys. Repeat the parameter to pass more than one. Valid values: avanmarket, buff163, buffmarket, c5, csdeals, csfloat, csgo500, csgoempire, csmoney_m, csmoney_t, cstrade, dmarket, dupefi, ecosteam, gameboost, haloskins, itradegg, lisskins, lootfarm, mannco, marketcsgo, pirateswap, rapidskins, shadowpay, skinbaron, skinflow, skinland, skinout, skinplace, skinport, skinscom, skinsmonkey, skinswap, skinswap_t, skinvault, steam, swapgg, tradeit, waxpeer, whitemarket, youpin.

providers_sell

string[]

Sell-side provider keys. Repeat the parameter to pass more than one. Only providers that support buy orders are valid here: buff163, buffmarket, c5, csfloat, dmarket, dupefi, ecosteam, marketcsgo, steam, waxpeer, whitemarket, youpin.

limit

integer

Number of results per page.

offset

integer

default:"0"

Zero-based pagination offset.

Response example

{
  "meta": { "..." : "..." },
  "data": {
    "items": [
      {
        "item_id": 10108,
        "market_hash_name": "★ M9 Bayonet | Fade (Factory New)",
        "phase": null,
        "buy_provider": "skinscom",
        "sell_provider": "steam",
        "buy_price_usd": "1119.70",
        "sell_price_usd": "1427.03",
        "gross_spread_pct": 27.45,
        "estimated_fees_usd": "185.51",
        "net_profit_usd": "121.82",
        "last_updated": "2026-03-21T06:30:32.692372Z"
      },
      {
        "item_id": 9505,
        "market_hash_name": "★ StatTrak™ Flip Knife | Bright Water (Well-Worn)",
        "phase": null,
        "buy_provider": "csfloat",
        "sell_provider": "buff163",
        "buy_price_usd": "150.19",
        "sell_price_usd": "217.30",
        "gross_spread_pct": 44.68,
        "estimated_fees_usd": "5.43",
        "net_profit_usd": "61.68",
        "last_updated": "2026-03-21T06:30:32.692372Z"
      }
    ]
  },
  "pagination": { "..." : "..." }
}

data.items[].item_id

integer

Catalog item ID.

data.items[].market_hash_name

string

Full item name as it appears in the Steam catalog.

data.items[].phase

string | null

Doppler/Gamma phase, or null for non-phase items.

data.items[].buy_provider

string

Provider key where you purchase the item.

data.items[].sell_provider

string

Provider key where you sell the item.

data.items[].buy_price_usd

string

Decimal string purchase price in USD.

data.items[].sell_price_usd

string

Decimal string sell price in USD.

data.items[].gross_spread_pct

number

Gross spread as a percentage before fees.

data.items[].estimated_fees_usd

string

Decimal string estimated transaction fees in USD.

data.items[].net_profit_usd

string

Decimal string net profit after fees in USD.

data.items[].last_updated

string

ISO 8601 timestamp of the most recent price data used.

buy_price_usd, sell_price_usd, estimated_fees_usd, and net_profit_usd are decimal strings in USD — not minor units (cents).

pagination.total is always -1 on this endpoint. Use offset pagination only — passing a cursor returns HTTP 400.

GET /market/indexes

Aggregates the cached 24-hour market snapshot into category-level market cap indexes grouped by item_type or weapon_type. Tiers: Quant

curl -sS \
  -H "Authorization: Bearer $CS2C_API_KEY" \
  "https://api.cs2c.app/market/indexes?group_by=weapon_type"

import os

import cs2cap

configuration = cs2cap.Configuration(access_token=os.environ["CS2C_API_KEY"])

with cs2cap.ApiClient(configuration) as client:
    api = cs2cap.MarketIntelligenceApi(client)
    response = api.get_market_cap_indexes(
        group_by="weapon_type"
    )

print(client.sanitize_for_serialization(response))

import { Configuration, MarketIntelligenceApi } from "cs2cap";

const accessToken = process.env.CS2C_API_KEY;

if (!accessToken) {
  throw new Error("Set CS2C_API_KEY before running this example.");
}

const api = new MarketIntelligenceApi(new Configuration({ accessToken }));
const response = await api.getMarketCapIndexes({ groupBy: "weapon_type" });

console.log(response);

group_by

string

default:"item_type"

Catalog dimension to group by. One of: item_type, weapon_type.

Response example

{
  "meta": {
    "generated_at": "2026-01-20T12:06:10Z",
    "data_source": "cache",
    "freshness_sec": 18,
    "window": {
      "timeframe": "24h"
    },
    "group_by": "item_type"
  },
  "data": {
    "total_marketcap_usd": "576594.00",
    "groups": [
      {
        "group": "weapon",
        "marketcap_usd": "576594.00",
        "item_count": 2,
        "included_count": 2,
        "excluded_count": 0
      },
      {
        "group": "wearable",
        "marketcap_usd": "0.00",
        "item_count": 1,
        "included_count": 0,
        "excluded_count": 1
      }
    ]
  }
}

data.total_marketcap_usd

string

Decimal string total market cap across all included items, in USD.

data.groups

array

Category breakdown sorted by marketcap_usd descending.

Show group properties

group

string

Category label (e.g., weapon, wearable).

marketcap_usd

string

Total market cap for items in this category, in USD.

item_count

integer

Total number of catalog items in this category.

included_count

integer

Items with enough market activity to produce a reliable estimate, included in the total.

excluded_count

integer

Items excluded due to insufficient market activity.

GET /market/indicators

Computes technical indicators — including RSI, MACD, Bollinger Bands, ATR, VWAP, and OBV — from composite OHLCV candles across all providers for a single item. Tiers: Quant

curl -sS \
  -H "Authorization: Bearer $CS2C_API_KEY" \
  "https://api.cs2c.app/market/indicators?item_id=4994&interval=1d&currency=USD"

import os

import cs2cap

configuration = cs2cap.Configuration(access_token=os.environ["CS2C_API_KEY"])

with cs2cap.ApiClient(configuration) as client:
    api = cs2cap.MarketIntelligenceApi(client)
    response = api.get_indicators(
        item_id=4994,
        interval="1d",
        currency="USD",
    )

print(client.sanitize_for_serialization(response))

import { Configuration, MarketIntelligenceApi } from "cs2cap";

const accessToken = process.env.CS2C_API_KEY;

if (!accessToken) {
  throw new Error("Set CS2C_API_KEY before running this example.");
}

const api = new MarketIntelligenceApi(new Configuration({ accessToken }));
const response = await api.getIndicators({ itemId: 4994, interval: "1d", currency: "USD" });

console.log(response);

item_id

integer

Catalog item ID. Takes precedence over market_hash_name when both are provided.

market_hash_name

string

Exact item name as it appears in the Steam catalog. Use item_id instead when you have it.

phase

string

Doppler/Gamma phase filter. One of: Phase 1, Phase 2, Phase 3, Phase 4, Ruby, Sapphire, Black Pearl, Emerald.

interval

string

default:"1d"

Candle interval for indicator computation. One of: 1h, 1d.

currency

string

default:"USD"

Output currency for price-level indicators (ISO 4217).

Response example

{
  "meta": { "..." : "..." },
  "data": {
    "item_id": 156,
    "market_hash_name": "AK-47 | Redline (Field-Tested)",
    "phase": null,
    "provider": "All Providers",
    "interval": "1d",
    "close_price_usd": "25.50",
    "momentum": {
      "rsi_14": 62.5,
      "macd_line": 0.45,
      "macd_signal": 0.32,
      "macd_histogram": 0.13,
      "sma_20": 25.30,
      "sma_50": 24.80,
      "sma_200": 23.50,
      "ema_12": 25.45,
      "ema_26": 25.00,
      "bb_upper": 27.10,
      "bb_middle": 25.30,
      "bb_lower": 23.50
    },
    "volatility": {
      "atr_14": 1.25,
      "historical_volatility_20": 0.35,
      "kc_upper": 27.95,
      "kc_middle": 25.45,
      "kc_lower": 22.95
    },
    "volume": {
      "vwap": 25.15,
      "obv": 12500,
      "volume_sma_20": 520
    },
    "signals": {
      "rsi": "neutral",
      "macd": "bullish",
      "trend": "bullish",
      "bollinger": "neutral",
      "volatility": "normal",
      "composite_score": 0.55
    },
    "coverage": {
      "candle_count": 250,
      "first_bucket": "2025-06-26T00:00:00Z",
      "last_bucket": "2026-02-20T00:00:00Z",
      "sufficient_for": ["rsi_14", "macd", "sma_20", "sma_50", "sma_200"],
      "insufficient_for": []
    }
  }
}

data.momentum

object

Momentum indicators.

Show momentum properties

rsi_14

number

14-period RSI.

macd_line

number

MACD line value.

macd_signal

number

MACD signal line.

macd_histogram

number

MACD histogram (line minus signal).

sma_20

number

20-period simple moving average. Returned in the requested currency.

sma_50

number

50-period simple moving average.

sma_200

number

200-period simple moving average.

ema_12

number

12-period exponential moving average.

ema_26

number

26-period exponential moving average.

bb_upper

number

Bollinger Band upper band.

bb_middle

number

Bollinger Band middle band (SMA-20).

bb_lower

number

Bollinger Band lower band.

data.volatility

object

Volatility indicators.

Show volatility properties

atr_14

number

14-period Average True Range.

historical_volatility_20

number

20-period historical volatility.

kc_upper

number

Keltner Channel upper band.

kc_middle

number

Keltner Channel middle line (EMA-20).

kc_lower

number

Keltner Channel lower band.

data.volume

object

Volume indicators.

Show volume properties

vwap

number

Volume-weighted average price.

obv

number

On-balance volume.

volume_sma_20

number

20-period volume simple moving average.

data.signals

object

Human-readable signal summaries derived from the indicators above.

Show signal properties

rsi

string

RSI signal: overbought, neutral, or oversold.

macd

string

MACD signal: bullish, neutral, or bearish.

trend

string

Trend signal: bullish, neutral, or bearish.

bollinger

string

Bollinger Band signal: overbought, neutral, or oversold.

volatility

string

Volatility regime: high, normal, or low.

composite_score

number

Blended score from -1.0 (fully bearish) to 1.0 (fully bullish).

data.coverage

object

Candle history metadata for the item.

Show coverage properties

candle_count

integer

Total number of candles available.

first_bucket

string

ISO 8601 timestamp of the earliest candle.

last_bucket

string

ISO 8601 timestamp of the most recent candle.

sufficient_for

string[]

Indicators that had enough history to compute.

insufficient_for

string[]

Indicators that could not be computed due to insufficient candle history.

This endpoint does not accept a provider filter — indicators reflect the best available price across all providers. close_price_usd is always in USD. Price-level indicators (SMA, EMA, Bollinger Bands) are returned in your requested currency.

GET /market/items

Returns a market-wide summary snapshot with one row per catalog item. Liquidity is always scored against the 24-hour horizon. The snapshot is refreshed periodically — requests return the most recently available data. Tiers: Pro, Quant

curl -sS \
  -H "Authorization: Bearer $CS2C_API_KEY" \
  "https://api.cs2c.app/market/items"

import os

import cs2cap

configuration = cs2cap.Configuration(access_token=os.environ["CS2C_API_KEY"])

with cs2cap.ApiClient(configuration) as client:
    api = cs2cap.MarketIntelligenceApi(client)
    response = api.get_market_analytics_snapshot()

print(client.sanitize_for_serialization(response))

import { Configuration, MarketIntelligenceApi } from "cs2cap";

const accessToken = process.env.CS2C_API_KEY;

if (!accessToken) {
  throw new Error("Set CS2C_API_KEY before running this example.");
}

const api = new MarketIntelligenceApi(new Configuration({ accessToken }));
const response = await api.getMarketAnalyticsSnapshot();

console.log(response);

This endpoint takes no query parameters.

Response example

{
  "meta": { "..." : "..." },
  "data": {
    "items": [
      {
        "item_id": 156,
        "market_hash_name": "AK-47 | Redline (Field-Tested)",
        "phase": null,
        "summary": {
          "provider_count": 2,
          "best_ask_usd": "24.90",
          "best_bid_usd": "24.90",
          "avg_spread_pct": 2.78,
          "liquidity": 78,
          "supply": 9060,
          "rank": 1292,
          "marketcap": "225594.00",
          "price_rate_24h": 3.75,
          "price_diff_24h": "0.90",
          "price_rate_7d": 8.26,
          "price_diff_7d": "1.90",
          "price_rate_30d": -2.73,
          "price_diff_30d": "-0.70",
          "sales_1d": 107,
          "total_volume_24h": 107,
          "sales_7d": 687,
          "sales_30d": 2096,
          "steam_sales_7d": 34,
          "steam_sales_30d": 587,
          "listing_score": 12,
          "gap_score": 7,
          "volume_score": 24,
          "stability_score": 15,
          "external_score": 14,
          "liquidity_last_updated": "2026-03-21T06:48:43.193895Z"
        }
      }
    ]
  }
}

data.items[].summary.best_ask_usd

string

Decimal string best ask price in USD across providers with active listings.

data.items[].summary.best_bid_usd

string

Decimal string highest bid in USD across all providers, including providers without a current ask.

data.items[].summary.marketcap

string

best_ask_usd × supply, expressed in USD major units.

data.items[].summary.supply

integer

Best available estimate of the number of items in circulation.

data.items[].summary.price_diff_24h

string

Price change over the last 24 hours, in USD.

data.items[].summary.price_rate_24h

number

Same 24h price change expressed as a percentage.

data.items[].summary.sales_1d

integer

Estimated number of trades in the last 24 hours. A useful approximation, not a guaranteed exact count.

data.items[].summary.liquidity

integer

Composite liquidity score (0–100) scored against the 24h horizon.

data.items[].summary.listing_score

integer | null

Listing-depth component score (0–18). null when liquidity data is unavailable.

data.items[].summary.gap_score

integer | null

Bid/ask gap component score (0–12). null when liquidity data is unavailable.

data.items[].summary.volume_score

integer | null

24h churn component score (0–45). null when liquidity data is unavailable.

data.items[].summary.stability_score

integer | null

Price stability bonus (0–8): added into the score’s remaining headroom below 100, combining observation density and price steadiness over the last 24 hours. null when insufficient history.

data.items[].summary.external_score

integer | null

External confirmation component score (0–25): based on Steam and Buff163 market activity. null when external data is unavailable.

best_ask_usd and all price_* values are decimal strings in USD — not minor units. Rows are sorted by rank, then by item ID.

GET /market/items/:item_id

Returns per-item market analytics including a summary and per-provider depth, spread, and volume data. Tiers: Pro, Quant

curl -sS \
  -H "Authorization: Bearer $CS2C_API_KEY" \
  "https://api.cs2c.app/market/items/4994"

import os

import cs2cap

configuration = cs2cap.Configuration(access_token=os.environ["CS2C_API_KEY"])

with cs2cap.ApiClient(configuration) as client:
    api = cs2cap.MarketIntelligenceApi(client)
    response = api.get_item_analytics(
        4994
    )

print(client.sanitize_for_serialization(response))

import { Configuration, MarketIntelligenceApi } from "cs2cap";

const accessToken = process.env.CS2C_API_KEY;

if (!accessToken) {
  throw new Error("Set CS2C_API_KEY before running this example.");
}

const api = new MarketIntelligenceApi(new Configuration({ accessToken }));
const response = await api.getItemAnalytics({ itemId: 4994 });

console.log(response);

item_id

integer

required

Catalog item ID to analyze. Use GET /items to look up IDs.

Response example

{
  "meta": { "..." : "..." },
  "data": {
    "item_id": 15652,
    "market_hash_name": "StatTrak™ SCAR-20 | Cardiac (Factory New)",
    "phase": null,
    "summary": {
      "provider_count": 5,
      "best_ask_usd": "58.41",
      "best_bid_usd": "61.74",
      "avg_spread_pct": 41.59,
      "liquidity": 46,
      "supply": 9060,
      "rank": 1292,
      "marketcap": "529194.60",
      "price_rate_24h": -4.48,
      "price_diff_24h": "-2.74",
      "price_rate_7d": 6.11,
      "price_diff_7d": "3.36",
      "price_rate_30d": 12.37,
      "price_diff_30d": "6.43",
      "sales_1d": 3,
      "total_volume_24h": 3,
      "sales_7d": 18,
      "sales_30d": 71,
      "steam_sales_7d": 34,
      "steam_sales_30d": 587,
      "listing_score": 9,
      "gap_score": 5,
      "volume_score": 18,
      "stability_score": 7,
      "external_score": 7,
      "liquidity_last_updated": "2026-03-21T06:48:43.193895Z"
    },
    "providers": [
      {
        "provider": "buff163",
        "ask_usd": "66.67",
        "bid_usd": "41.60",
        "spread_usd": "25.07",
        "spread_pct": 37.61,
        "ask_depth": 16,
        "bid_depth": 9,
        "volume_24h": 2,
        "volume_7d": 8,
        "total_value_24h_usd": "133.34",
        "price_rate_24h": -1.96,
        "price_diff_24h": "-1.33",
        "price_rate_7d": 4.17,
        "price_diff_7d": "2.67",
        "price_rate_30d": null,
        "price_diff_30d": null,
        "bid_anomaly": false
      },
      {
        "provider": "steam",
        "ask_usd": "92.41",
        "bid_usd": "61.32",
        "spread_usd": "31.09",
        "spread_pct": 33.64,
        "ask_depth": 1,
        "bid_depth": 150,
        "volume_24h": 1,
        "volume_7d": 0,
        "total_value_24h_usd": "92.41",
        "price_rate_24h": null,
        "price_diff_24h": null,
        "price_rate_7d": 2.13,
        "price_diff_7d": "1.93",
        "price_rate_30d": 9.16,
        "price_diff_30d": "7.76",
        "bid_anomaly": false
      },
      {
        "provider": "skinport",
        "ask_usd": "58.41",
        "bid_usd": null,
        "spread_usd": null,
        "spread_pct": null,
        "ask_depth": 3,
        "bid_depth": null,
        "volume_24h": null,
        "volume_7d": null,
        "total_value_24h_usd": null,
        "price_rate_24h": -4.48,
        "price_diff_24h": "-2.74",
        "price_rate_7d": null,
        "price_diff_7d": null,
        "price_rate_30d": null,
        "price_diff_30d": null,
        "bid_anomaly": null
      }
    ],
    "coverage": {
      "provider_count": 5,
      "providers_with_volume": 3,
      "providers_with_bid_side": 2
    }
  }
}

data.providers

array

Per-provider depth and spread data. Ask-driven: providers with a live ask but no current bid still appear with bid_usd, spread_usd, spread_pct, and bid_depth set to null.

Show provider properties

provider

string

Provider key.

ask_usd

string

Best ask price as a decimal string in USD.

bid_usd

string | null

Best bid price as a decimal string in USD, or null if no bid side.

spread_usd

string | null

Ask minus bid as a decimal string in USD.

spread_pct

number | null

Spread as a percentage of ask.

ask_depth

integer

Number of active ask listings.

bid_depth

integer | null

Number of active buy orders, or null if the provider does not support buy orders.

volume_24h

integer | null

Estimated number of trades in the last 24 hours, or null if the provider does not report sale history.

volume_7d

integer | null

Estimated 7-day trade volume.

total_value_24h_usd

string | null

Decimal string total traded value in the last 24 hours, in USD.

bid_anomaly

boolean | null

true when the best bid is higher than the best ask (negative spread). null when no bid side exists.

data.coverage

object

Provider coverage summary for this item.

Show coverage properties

provider_count

integer

Providers with at least one active listing.

providers_with_volume

integer

Providers that reported sale history.

providers_with_bid_side

integer

Providers that support buy orders for this item.

ask_usd, bid_usd, spread_usd, and total_value_24h_usd are decimal strings in USD — not minor units. summary.best_bid_usd is the highest bid across all providers, including providers that do not appear in data.providers[].

bid_anomaly: true indicates the best bid exceeds the best ask on that provider, which produces a negative spread_pct. This is a data anomaly, not a tradeable state.

GET /market/history/chart

Returns per-provider daily price history for a single item — one price point per provider per UTC day, spanning years of history (i.e. up to 2013 for Steam) up to the present. Built for charting long horizons. Tiers: Quant

curl -sS \
  -H "Authorization: Bearer $CS2C_API_KEY" \
  "https://api.cs2c.app/market/history/chart?item_id=16194&providers=buff163&providers=steam&currency=USD"

import os

import cs2cap

configuration = cs2cap.Configuration(access_token=os.environ["CS2C_API_KEY"])

with cs2cap.ApiClient(configuration) as client:
    api = cs2cap.MarketIntelligenceApi(client)
    response = api.get_deep_price_history_chart(
        item_id=4994,
        providers=["buff163", "csfloat"],
        lookback=30,
        currency="USD",
    )

print(client.sanitize_for_serialization(response))

import { Configuration, MarketIntelligenceApi } from "cs2cap";

const accessToken = process.env.CS2C_API_KEY;

if (!accessToken) {
  throw new Error("Set CS2C_API_KEY before running this example.");
}

const api = new MarketIntelligenceApi(new Configuration({ accessToken }));
const response = await api.getDeepPriceHistoryChart({
  itemId: 4994,
  providers: ["buff163", "csfloat"],
  lookback: 30,
  currency: "USD",
});

console.log(response);

Provide either item_id or market_hash_name. With no time parameters the response covers the last 365 days.

item_id

integer

Catalog item ID. Required unless market_hash_name is provided.

market_hash_name

string

Exact item name as it appears in the Steam catalog. Required unless item_id is provided.

providers

string[]

Provider key filter. Repeatable. Omit to return every provider that has data for the item.

start

string

ISO 8601 UTC start of the window. Defaults to 365 days before end.

end

string

ISO 8601 UTC end of the window. Defaults to now.

lookback

integer

Window length in days. Overrides start when provided.

currency

string

default:"USD"

Target currency for returned prices (ISO 4217).

include_defunct

boolean

default:"false"

Include providers that have shut down but still have historical data (e.g. GamerPay, BitSkins). When false, their series are omitted even if requested explicitly via providers.

Response example

{
  "meta": {
    "item_id": 16194,
    "market_hash_name": "AK-47 | Hydroponic (Factory New)",
    "currency": "USD",
    "start": "2013-04-26T00:00:00Z",
    "end": "2026-06-13T00:00:00Z",
    "providers": ["buff163", "steam"]
  },
  "series": [
    {
      "provider": "buff163",
      "data": [
        { "t": 1685548800, "price": 546976, "qty": 122 }
      ]
    },
    {
      "provider": "steam",
      "data": [
        { "t": 1606953600, "price": 532148, "qty": null }
      ]
    }
  ]
}

meta.providers

string[]

The provider keys actually present in series — those with at least one point in the requested window.

series[].data[].t

integer

UTC day bucket as a Unix timestamp (seconds, midnight).

series[].data[].price

integer

Closing price for that day in minor units of the response currency (e.g. 546976 = $5,469.76).

series[].data[].qty

integer

Listings/volume figure for that day. Meaning varies by provider and may be null.

Overview

Market Data

Analytics

Portfolio

Account

Market Analytics API: Arbitrage and Indicators

GET /market/arbitrage

GET /market/indexes

GET /market/indicators

GET /market/items

GET /market/items/:item_id

GET /market/history/chart

​GET /market/arbitrage

​GET /market/indexes

​GET /market/indicators

​GET /market/items

​GET /market/items/:item_id

​GET /market/history/chart

GET /market/arbitrage

GET /market/indexes

GET /market/indicators

GET /market/items

GET /market/items/:item_id

GET /market/history/chart