How to Value a CS2 Inventory in Cash

Keep Steam Community Market in a separate column. Steam Wallet is not bank cash (Steam guide).

Your inventory source (Steam API, CSFloat inventory export, spreadsheet) should yield:

market_hash_name, quantity, doppler_phase (optional), asset_id (optional)

Rules:

• Aggregate identical commodity skins (10× Redline FT = one row, qty 10).
• Split Doppler/Gamma by phase — Ruby and Phase 4 are different rows.
• Do not fuzzy-match names. Unknown strings go to an exceptions table.

CSPriceAPI does not fetch Steam inventories for you — supply the names; the API supplies prices.

curl -s -X POST "https://api.cspriceapi.com/v1/prices/latest" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "items": [
      "AK-47 | Redline (Field-Tested)",
      "★ Karambit | Doppler (Factory New)"
    ],
    "markets": "youpin,buff163,skinport,csfloat,steam"
  }'

For each (market_hash_name, doppler_phase):

1. Collect non-null price from cash markets (exclude Steam for cash totals).
2. Compute listing value = median of cash-market asks (or trimmed mean dropping outliers).
3. Fetch sell-now from YouPin buyorder for CN items:

curl -s "https://api.cspriceapi.com/v1/prices/youpin/buyorder" \
  -H "Authorization: Bearer YOUR_API_KEY"

1. line_value = unit_value × quantity

import statistics
import requests

API = "https://api.cspriceapi.com"
KEY = "YOUR_API_KEY"
HEADERS = {"Authorization": f"Bearer {KEY}"}

CASH_MARKETS = ("youpin", "buff163", "skinport", "skinbaron", "csfloat", "dmarket")

def price_batch(names: list[str]) -> dict:
    r = requests.post(
        f"{API}/v1/prices/latest",
        headers=HEADERS,
        json={"items": names, "markets": ",".join(CASH_MARKETS)},
        timeout=60,
    )
    r.raise_for_status()
    return r.json()

def listing_median(rows: list[dict], name: str, phase: str | None) -> float | None:
    prices = []
    for market_block in rows if isinstance(rows, list) else [rows]:
        for item in market_block.get("items", []):
            if item.get("market_hash_name") != name:
                continue
            if (item.get("doppler_phase") or None) != (phase or None):
                continue
            p = item.get("price")
            if p is not None:
                prices.append(float(p))
    return statistics.median(prices) if prices else None

# inventory = [{"name": "...", "qty": 1, "phase": None}, ...]

Extend with: FX conversion (CNY→USD/EUR), fee tables, and buyorder join.

Listing value alone overstates items that never trade. Spot-check high-value rows:

curl -s "https://api.cspriceapi.com/v1/market-sales/search?market_hash_name=★%20Karambit%20%7C%20Doppler%20(Factory%20New)" \
  -H "Authorization: Bearer YOUR_API_KEY"

See sales data product for bulk exports.

YouPin898 is the largest CS2 marketplace by volume. Even if you never buy on YouPin, its prices anchor:

• CN wholesale discovery
• What Western markets mean when they say "below Buff"
• Collector item reference for Doppler phases

Start valuation from YouPin + BUFF, then sanity-check Western retail (Skinport, CSFloat).

• Browse Skins — search owned items, multi-market columns
• Chrome extension — compare while viewing listings
• Manual high-tier: cross-check High-Tier Database for pattern/float crafts

valuation_id, run_at
market_hash_name, doppler_phase, quantity
listing_unit, sell_now_unit, conservative_unit
sources_json, confidence, unpriced_reason

Append snapshots — do not overwrite — so users see market moves vs methodology changes.