orcalayer 0.1.2

Python client for the OrcaLayer API — Polymarket whale and market analytics

orcalayer

Official Python client for the OrcaLayer API — Polymarket whale and market analytics: wallet P&L, open positions, smart-whale leaderboard, market search and real-time whale alerts.

Install

pip install orcalayer

Requires Python 3.10+. Single dependency: httpx.

Quickstart

Three lines to a first result — no API key needed for public endpoints:

from orcalayer import OrcaLayer

ol = OrcaLayer()
print(ol.leaderboard(limit=5))

Anonymous access is limited to 200 requests/min per IP, and wallet endpoints (wallet_overview, wallet_positions) additionally to 300 requests/day per IP. With a Premium API key (get one here) you get 600 req/min, no daily cap, and access to Premium endpoints such as whale alerts:

ol = OrcaLayer(api_key="ol_your_key")
alerts = ol.whale_alerts(minutes=30, min_usd=1000)

Methods

Method	Endpoint	Access
leaderboard(sort, category, limit, ...)	Smart-whale leaderboard with server-side filters	Public
wallet_overview(address)	Wallet profile + trading stats (accepts 0x address or nickname)	Public
wallet_positions(address, limit, offset)	Open positions, sorted by current value	Public
markets(q, category, min_volume, ...)	Market search (accepts free text or a Polymarket URL)	Public
whale_alerts(minutes, min_usd, ...)	Recent smart-whale trades feed	Premium

All methods return the JSON response as a plain dict, exactly as the API sends it. Full field reference: orcalayer.com/docs.

Examples

Runnable scripts in examples/ — each is self-contained and runs against the live API:

Script	What it does	Key
find_top_whales.py	Top smart-money whales in a category, via the leaderboard	No
track_wallet.py	A wallet's profile, stats and open positions	No
find_consensus_markets.py	Markets where smart whales are clustering, with filters	No
whale_alerts_feed.py	Recent smart-whale trades feed (shows the Premium path)	Yes

Behavior notes

• Rate limits: on HTTP 429 the client reads Retry-After and retries with exponential backoff (default 3 attempts). Disable with OrcaLayer(retry_on_rate_limit=False). A Retry-After beyond 5 minutes signals the anonymous daily cap rather than a burst — the client then raises RateLimitError immediately instead of retrying.
• Transient 502 responses are retried once automatically.
• Premium endpoints without a key raise PremiumRequiredError with a link to pricing — no network call is made.
• Wallet overview freshness: responses include as_of (data timestamp) and degraded (heavy side-stats timed out, core stats still present).
• Cold heavy wallets answer HTTP 202 while their stats are computed server-side. The client retries once automatically after the server's Retry-After interval; if the wallet is still not ready it raises WalletComputingError (carrying retry_after) so a 202 body is never mistaken for wallet data.

Errors

All exceptions inherit from orcalayer.OrcaLayerError, so one except catches everything:

from orcalayer import OrcaLayer, OrcaLayerError, RateLimitError

ol = OrcaLayer()
try:
    data = ol.wallet_overview("0x...")
except RateLimitError as e:
    print(f"rate limited, retry in {e.retry_after:.0f}s")
except OrcaLayerError as e:
    print(f"request failed: {e}")

Exception	Raised on
PremiumRequiredError	Premium endpoint called without a key (no network call made)
AuthenticationError	Key rejected (HTTP 401/403)
RateLimitError	HTTP 429 after retries, or immediately for the daily cap; carries retry_after
WalletComputingError	Heavy wallet still computing (HTTP 202 twice); carries retry_after
APIError	Unhandled 4xx (404/400/422) or a non-JSON body; carries status_code and body
ServerError	Unexpected 5xx

The package ships type hints (py.typed).

License

MIT. See LICENSE.

Data is provided for informational purposes only and is not financial advice.