birdeye-api — Claude Code skill: what it does, how to install
Fetches Solana token market data via Birdeye API, covering prices, OHLCV candles, trade logs, and contract security checks.
npx skills add agiprolabs/claude-trading-skills --skill birdeye-api -a claude-codeWhat birdeye-api does
The skill equips the agent with patterns for the Birdeye REST API across Solana and 13 other chains. It focuses on research, historical data, and pre-trade token security audits rather than live execution. Endpoints cover single and multi-token prices, OHLCV candles capped at 1000 per request, trader leaderboards, and wallet analytics.
You need a BIRDEYE_API_KEY alongside Python libraries httpx, pandas, and python-dotenv. The free tier provides 30K compute units per month at 1 request per second. That budget covers roughly 375 OHLCV queries, so extensive backtesting will exhaust it quickly. Real-time streaming via WebSocket requires the Premium Plus plan at $250 per month.
Keep in mind that /defi/txs/token/seek_by_time fails if you pass both before_time and after_time, triggering an immediate HTTP 422 error.
What it helps with
- fetch historical OHLCV candles for Solana backtesting
- verify token security flags like freeze authority and mintability
- track top traders and trade volume for a token mint
- monitor newly listed Solana tokens including PumpFun
Example prompts for the agent
- Fetch 15m OHLCV candles for SOL using birdeye-api
- Check token security for TOKEN_MINT via Birdeye endpoint
- Get top 10 traders by volume for TOKEN_MINT over the last 24h
How to install birdeye-api
1Skills CLI (Vercel)
npx skills add agiprolabs/claude-trading-skills --skill birdeye-api -a claude-code2Manually: put the files in place
~/.claude/skills/birdeye-api/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/birdeye-api/
1Skills CLI (Vercel)
npx skills add agiprolabs/claude-trading-skills --skill birdeye-api -a codex2Manually: put the files in place
.agents/skills/birdeye-api/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add agiprolabs/claude-trading-skills --skill birdeye-api -a cursor2Manually: put the files in place
.cursor/skills/birdeye-api/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install agiprolabs/claude-trading-skills birdeye-api2Manually: put the files in place
.github/skills/birdeye-api/SKILL.md1Skills CLI (Vercel)
npx skills add agiprolabs/claude-trading-skills --skill birdeye-api -a gemini-cli2Platform CLI
gemini skills install https://github.com/agiprolabs/claude-trading-skills --path skills/birdeye-apiManually: put the files in place
.devin/skills/birdeye-api/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add agiprolabs/claude-trading-skills --skill birdeye-api -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about birdeye-api
How to install birdeye-api in Claude Code?
Run npx skills add agiprolabs/claude-trading-skills --skill birdeye-api -a claude-code in your terminal.
What does the birdeye-api skill do?
It provides query structures and endpoint schemas to pull Solana token metrics, OHLCV history, trade logs, and risk data from the Birdeye API.
What are the limits of the Birdeye free tier?
The free tier offers 30K compute units per month at 1 request per second. That allows roughly 750 token price calls or 375 OHLCV candle requests.
Source text
SKILL.md · MIT
---
name: birdeye-api
description: Solana token market data via Birdeye — prices, OHLCV, trades, token metadata, security checks, and trader activity
---
# Birdeye API — Solana Market Data
Birdeye aggregates market data across all Solana DEXes (and 13 other chains). Prices, OHLCV candles, trade history, token metadata, security info, and wallet analytics. Primary data source for Solana token research and historical analysis.
**Note**: For real-time trading systems, use Yellowstone gRPC (see `yellowstone-grpc` skill). Birdeye is best for historical data, research, and analysis workflows.
## Quick Start
### 1. Get an API Key
Sign up at [birdeye.so](https://birdeye.so) — free tier: 30K compute units/month, 1 req/sec.
```bash
export BIRDEYE_API_KEY="your-api-key"
```
### 2. Install Dependencies
```bash
uv pip install httpx pandas python-dotenv
```
### 3. First Request
```python
import httpx, os
API_KEY = os.environ["BIRDEYE_API_KEY"]
headers = {"X-API-KEY": API_KEY, "x-chain": "solana", "accept": "application/json"}
# Get SOL price
resp = httpx.get(
"https://public-api.birdeye.so/defi/price",
headers=headers,
params={"address": "So11111111111111111111111111111111111111112"},
)
price = resp.json()["data"]["value"]
print(f"SOL: ${price}")
```
## Core Endpoints
All endpoints use base URL `https://public-api.birdeye.so` with `X-API-KEY` and `x-chain` headers.
### Token Price
```python
# Single token price (10 CU)
GET /defi/price?address=TOKEN_MINT
# Multiple token prices (variable CU)
POST /defi/multi_price
Body: {"addresses": ["MINT1", "MINT2", "MINT3"]}
# Price at specific timestamp (10 CU)
GET /defi/historical_price_unix?address=TOKEN_MINT&unixtime=1700000000
# Historical price series (60 CU)
GET /defi/history_price?address=TOKEN_MINT&address_type=token&type=15m&time_from=T1&time_to=T2
```
### OHLCV Candles
The primary endpoint for backtesting data.
```python
# Token OHLCV (40 CU, max 1000 candles per request)
GET /defi/ohlcv?address=TOKEN_MINT&type=15m&time_from=T1&time_to=T2
```
**Timeframes**: `1m, 3m, 5m, 15m, 30m, 1H, 2H, 4H, 6H, 8H, 12H, 1D, 3D, 1W, 1M`
Response:
```json
{
"data": {
"items": [
{"o": 23.5, "h": 24.1, "l": 23.2, "c": 23.8, "v": 1234567.89, "unixTime": 1692175200, "type": "15m"}
]
},
"success": true
}
```
**Pagination for long history**: Max 1000 candles per request. At 15m intervals, 1000 candles ≈ 10.4 days. Slide `time_from`/`time_to` windows for longer history.
```python
# Pair OHLCV (40 CU)
GET /defi/ohlcv/pair?address=PAIR_ADDRESS&type=1H&time_from=T1&time_to=T2
```
### Token Overview
Comprehensive metadata + market data in one call.
```python
# Token overview (30 CU)
GET /defi/token_overview?address=TOKEN_MINT
```
Returns: `name`, `symbol`, `decimals`, `logoURI`, `liquidity`, `price`, `mc` (market cap), `supply`, price changes (30m/1h/2h/4h/6h/8h/12h/24h), trade counts, buy/sell volumes, unique wallets, and social links.
See `references/birdeye_endpoints.md` for full field listing.
### Token Security
Pre-trade safety check — essential before entering any new token.
```python
# Token security (50 CU)
GET /defi/token_security?address=TOKEN_MINT
```
Returns:
- `creatorAddress`, `ownerAddress` — who controls the token
- `top10HolderPercent` — concentration risk
- `mutableMetadata` — can metadata be changed?
- `freezeable`, `freezeAuthority` — can tokens be frozen?
- `transferFeeEnable` — Token-2022 transfer fees?
- `isToken2022` — which token program?
- `lockInfo` — LP lock details
**Quick safety checks**:
- Mintable = `ownerAddress != null` (supply can increase)
- Renounced = `ownerAddress == null` (no mint authority)
- Mutable = `mutableMetadata == true`
- Freezeable = `freezeable == true`
### Trades
```python
# Recent trades for a token (10 CU)
GET /defi/txs/token?address=TOKEN_MINT&limit=50&tx_type=swap
# Trades by time range (15 CU)
GET /defi/txs/token/seek_by_time?address=TOKEN_MINT&after_time=UNIX_TS&limit=50
# WARNING: do NOT pass both before_time and after_time — returns 422
```
Trade response fields: `txHash`, `source` (DEX), `blockUnixTime`, `owner` (trader), `from` (token sent), `to` (token received) with amounts and prices.
### Top Traders
```python
# Top traders for a token (30 CU)
GET /defi/v2/tokens/top_traders?address=TOKEN_MINT&time_frame=24h&sort_by=volume&limit=10
```
Returns: `owner`, `volume`, `volumeBuy`, `volumeSell`, `trade`, `tradeBuy`, `tradeSell`, `tags` (e.g., `"arbitrage-bot"`, `"sniper-bot"`).
### New Listings
```python
# New token listings (80 CU)
GET /defi/v2/tokens/new_listing?time_to=UNIX_TS&limit=10&meme_platform_enabled=true
```
Returns tokens listed within ~3 days with liquidity ≥ $10. Set `meme_platform_enabled=true` to include PumpFun tokens.
### Trending Tokens
```python
# Trending tokens (50 CU)
GET /defi/token_trending?sort_by=rank&sort_type=asc&limit=20
```
### Token Holders
```python
# Token holders (50 CU)
GET /defi/v3/token/holder?address=TOKEN_MINT
```
### Search
```python
# Search tokens/markets (50 CU)
GET /defi/v3/search?keyword=bonk&chain=solana
```
## Wallet Endpoints
**Rate limited**: 30 rpm across all wallet endpoints regardless of tier.
```python
# Wallet portfolio (100 CU)
GET /v1/wallet/token_list?wallet=WALLET_ADDRESS
# Single token balance (5 CU)
GET /v1/wallet/token_balance?wallet=WALLET&token_address=TOKEN_MINT
# Wallet transaction history (150 CU)
GET /v1/wallet/tx_list?wallet=WALLET_ADDRESS
# Wallet net worth (100 CU)
GET /wallet/v2/current-net-worth?wallet=WALLET_ADDRESS
# Wallet PnL (variable CU)
GET /wallet/v2/pnl?wallet=WALLET_ADDRESS
```
## WebSocket API
Real-time streaming for price, trades, and new listings. Requires Premium Plus ($250/mo) or higher.
```python
# Connection URL
wss://public-api.birdeye.so/socket/solana?x-api-key=YOUR_KEY
# Required headers
Origin: ws://public-api.birdeye.so
Sec-WebSocket-Protocol: echo-protocol
# Subscribe to price updates
{"type": "SUBSCRIBE_PRICE", "data": {"chartType": "1m", "address": "TOKEN", "currency": "usd"}}
# Subscribe to trades
{"type": "SUBSCRIBE_TXS", "data": {"address": "TOKEN"}}
# Subscribe to new listings
{"type": "SUBSCRIBE_TOKEN_NEW_LISTING", "data": {}}
```
Max 100 tokens per connection. Channels: `SUBSCRIBE_PRICE`, `SUBSCRIBE_TXS`, `SUBSCRIBE_TOKEN_NEW_LISTING`, `SUBSCRIBE_NEW_PAIR`, `SUBSCRIBE_LARGE_TRADE_TXS`, `SUBSCRIBE_WALLET_TXS`, `SUBSCRIBE_TOKEN_STATS`.
## Pricing & CU Budget
| Tier | Price/mo | CU | Rate Limit |
|------|----------|-----|-----------|
| Free | $0 | 30K | 1 rps |
| Lite | $39 | 1.5M | 15 rps |
| Starter | $99 | 5M | 15 rps |
| Premium | $199 | 15M | 50 rps |
| Premium Plus | $250 | 20M | 50 rps + WebSocket |
| Business | $499-$2,300 | 50M-500M | 100-150 rps |
**CU planning**: Free tier (30K CU) = ~750 price calls OR ~375 OHLCV calls/month. Budget accordingly.
## Files
### References
- `references/birdeye_endpoints.md` — Complete endpoint listing with parameters, CU costs, and response fields
- `references/error_handling.md` — Error codes, rate limits, retry strategies, CU optimization
- `references/token_overview_fields.md` — Full field reference for token_overview response
### Scripts
- `scripts/fetch_ohlcv.py` — Fetch OHLCV candle data with pagination for backtesting
- `scripts/token_screener.py` — Screen tokens using overview, security, and trader data
© agiprolabs · MIT · agiprolabs/claude-trading-skills