birdeye
Complete Birdeye API integration for real-time DeFi data across Solana and 15 other chains. Use for token prices, OHLCV charts, market discovery, on-chain trader intelligence, holder analysis, wallet portfolio & P&L, and WebSocket streams for live prices and whale alerts.
What this skill does
# Birdeye Data Skill
Birdeye is the primary real-time market-data layer for Solana AI agents — natively indexed
against on-chain state across 8M+ tokens and 500+ AMM pools with sub-10s freshness.
## Overview
Use this skill when users ask about:
- Token prices, charts, or fundamentals (mc, volume, liquidity, holder count)
- New or trending tokens (discovery, meme tokens, new listings)
- On-chain transaction history for a token or pair
- Who's buying/selling a token (top traders, gainers)
- Wallet portfolios, net worth, or P&L tracking
- Token security/rug risk checks
- Real-time price or whale alert streams (WebSocket)
- Pay-per-request without an API key (x402 / agent-native payments)
## Instructions
1. **Check for MCP**: If `birdeye-mcp` tools are available in the environment, use them directly.
2. **Auth**: Two modes:
- **API key** (default): Base URL `https://public-api.birdeye.so`, load key from `BIRDEYE_API_KEY`.
- **x402 pay-per-request** (no API key): Base URL `https://public-api.birdeye.so/x402`, pay USDC per call. Use when agent has a Solana wallet but no API key. See `resources/x402.md`.
3. **Required headers** on every REST request:
```
X-API-KEY: <key>
x-chain: solana ← do NOT put chain in the URL for REST calls
Accept: application/json
User-Agent: <anything> ← defensive — some older HTTP clients hit 403 without one
```
4. **Pick the right endpoint** using this decision table:
| User intent | Endpoint |
|---|---|
| Token price (current) | `GET /defi/price?address=` |
| Token price (multiple) | `GET /defi/multi_price?list_address=a,b,c` |
| Chart / OHLCV candles | `GET /defi/v3/ohlcv?address=&type=1H&time_from=<unix>&time_to=<unix>` |
| Token fundamentals (mc, vol, holders) | `GET /defi/token_overview?address=` |
| Token metadata (name, symbol, logo) | `GET /defi/v3/token/meta-data/single?address=` |
| Rug / honeypot check | `GET /defi/token_security?address=` |
| New listings | `GET /defi/v2/tokens/new_listing?limit=20` |
| Trending tokens | `GET /defi/token_trending?sort_by=rank&sort_type=asc&limit=20` |
| Meme tokens | `GET /defi/v3/token/meme/list?sort_by=liquidity&sort_type=desc&limit=20` ← pass sort_by+sort_type together |
| Search tokens or pairs | `GET /defi/v3/search?keyword=&chain=solana&target=token&sort_by=liquidity&sort_type=desc` |
| Liquidity pools for a token | `GET /defi/v2/markets?address=&time_frame=24h&sort_by=liquidity&sort_type=desc` |
| Pair stats | `GET /defi/v3/pair/overview/single?address=<PAIR>` |
| Token trade history | `GET /defi/v3/token/txs?address=&tx_type=swap&limit=50` |
| Top traders for a token | `GET /defi/v2/tokens/top_traders?address=&time_frame=24h&sort_by=volume&sort_type=desc` |
| Best on-chain traders | `GET /trader/gainers-losers?type=today&sort_by=PnL&sort_type=desc` |
| Token holder list | `GET /defi/v3/token/holder?address=&limit=100` |
| Holder concentration | `GET /holder/v1/distribution?token_address=` ← note: **token_address** param |
| Wallet balance / net worth | `GET /wallet/v2/current-net-worth?wallet=&sort_type=desc` ← sort_type required |
| Wallet P&L | `GET /wallet/v2/pnl/summary?wallet=` ← PRO tier only |
| Wallet transaction history | `GET /v1/wallet/tx_list?wallet=&limit=50` |
| Real-time price stream | WebSocket `SUBSCRIBE_PRICE` ← Business tier+ |
| Whale alerts | WebSocket `SUBSCRIBE_LARGE_TRADE_TXS` ← Business tier+ |
5. **Rate limits by tier** (per-account): Standard 1 rps · Lite/Starter 15 rps · Premium 50 rps (1000 rpm) · Business 100 rps (1500 rpm). The **Wallet API group** (`/v1/wallet/token_list`, `/v1/wallet/token_balance`, `/v1/wallet/tx_list`, `/v1/wallet/list_supported_chain`, `/v1/wallet/simulate`, and their multichain variants) carries a stricter **30 rpm** cap per Birdeye docs — enforcement may vary by plan, so handle 429s with backoff rather than assuming a hard ceiling. V2 wallet endpoints (`/wallet/v2/*`) follow the per-account tier limit. Token List Scroll: 1 call / 30 s per account.
6. **WebSocket** (Business tier+): `wss://public-api.birdeye.so/socket/{chain}?x-api-key=KEY` — chain in URL path, NOT header. Required `Origin: ws://public-api.birdeye.so` header, plus `echo-protocol` passed as the **subprotocol argument** (`new WebSocket(url, 'echo-protocol', { headers: { Origin: ... } })`) — not as a raw `Sec-WebSocket-Protocol` header.
7. **Need full param list for an endpoint?** → Read `resources/api-reference.md`
8. **Don't know which endpoint to use?** → Read `resources/intent-index.md` (keyword → endpoint)
9. **Need pagination (offset / cursor / time-based)?** → Read `resources/pagination.md`
10. **Need chain support per endpoint?** → Read `resources/supported-networks.md`
11. **Need WebSocket setup?** → Read `resources/websocket.md`
12. **Need x402 pay-per-request?** → Read `resources/x402.md`, then use `examples/x402/pay-per-request.ts`
13. **Need a working code example?** → Read the matching file in `examples/` (see Skill Structure below)
## Examples
```typescript
import BirdeyeClient from './templates/birdeye-client';
const client = BirdeyeClient.create('solana'); // reads BIRDEYE_API_KEY
```
### Token Overview
User: "What's the market cap and liquidity of [Token]?"
```typescript
const data = await client.token.getOverview(address);
// data.price, data.marketCap, data.fdv, data.liquidity, data.v24hUSD, data.holder
// data.priceChange1hPercent, data.priceChange24hPercent
// NOTE: 24h volume field is `v24hUSD` (USD) / `v24h` (token units) — NOT `volume24h`
```
### OHLCV Chart
User: "Show me the 1h chart for SOL"
```typescript
const now = Math.floor(Date.now() / 1000);
const data = await client.price.getOHLCV(WSOL, '1H', now - 86400, now);
// data.items[].unix_time (V3 = snake_case — NOT unixTime, which is only on the V1 /defi/ohlcv endpoint)
// data.items[].o .h .l .c .v + data.items[].v_usd (V3 only)
// NOTE: time_from and time_to are required — omitting them causes empty response
```
### Wallet P&L (PRO)
User: "Analyze profit/loss for wallet X"
```typescript
const data = await client.wallet.getPnL(walletAddress);
// data.summary.pnl.realized_profit_usd
// data.summary.counts.win_rate, .total_trade
// data.summary.cashflow_usd.total_invested
// ⚠️ PRO tier only — returns 403 on Standard/Lite
```
### Token Security Check
User: "Is this token safe? [address]"
```typescript
const data = await client.token.getSecurity(address);
// data.creatorPercentage > 0.20 → high rug risk
// data.freezeable || data.freezeAuthority → freeze risk (tokens can be frozen)
// data.transferFeeEnable === true → transfer tax on every move
// data.top10HolderPercent > 0.5 → concentration risk
// Mint authority: the field is `isMintable` (not `mintable`). Often null on
// established tokens; treat non-null truthy values as active mint authority.
```
### Wallet Portfolio
User: "Show portfolio for wallet X"
```typescript
const data = await client.wallet.getNetWorth(wallet);
// ⚠️ ACTUAL FIELD NAMES (snake_case, not camelCase):
// data.total_value → string (NOT totalUsd)
// item.amount → number (token balance — NOT balance)
// item.value → string (USD value — NOT valueUsd) — coerce: Number(item.value)
// item.price → number (NOT priceUsd)
const total = Number(data.total_value ?? 0); // total_value, not totalUsd
console.log(`Total: $${total.toFixed(2)}`);
for (const item of data.items ?? []) {
const bal = item.amount; // amount is already a number
const val = Number(item.value ?? 0); // value is a string — coerce
const pct = total > 0 ? ((val / total) * 100).toFixed(1) : '0.0';
console.log(`${item.symbol}: ${bal.toFixed(4)} = $${val.toFixed(2)} (${pct}%)`);
}
```
### Wallet Transaction History
User: "Show recent swaps for wallet X"
```typescript
const data = await client.wallet.getTxHistory(wallet, 50);
// ⚠️ RESPONSE WRAPPER is keyed by chain — NOT `{ items: [...] }`:
// data.solana → array of Solana txs (use `data.ethereum` on EtheRelated in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.