agiprolabs
Registry indexed
dexscreener-api
Free, no-auth multi-chain DEX pair data — prices, volume, liquidity, transactions, and token profiles
Registry indexed
Free, no-auth multi-chain DEX pair data — prices, volume, liquidity, transactions, and token profiles
Free, no-auth multi-chain DEX pair data — prices, volume, liquidity, transactions, and token profiles
Source documentation, not instructions for this website. Review permissions before running any commands.
DexScreener provides DEX pair data across 80+ chains with no API key required. Prices, volume, liquidity, transaction counts, and token profiles — all free. Best for quick lookups, cross-chain comparison, and lightweight monitoring.
No authentication needed. Just make requests:
import httpx
# Search for a token
resp = httpx.get("https://api.dexscreener.com/latest/dex/search", params={"q": "BONK"})
pairs = resp.json()["pairs"]
for p in pairs[:3]:
print(f"{p['baseToken']['symbol']}/{p['quoteToken']['symbol']} on {p['chainId']}: ${p['priceUsd']}")
# Or with curl
curl "https://api.dexscreener.com/latest/dex/search?q=BONK"
https://api.dexscreener.com
No API key, no headers required. Rate limits: ~300 req/min for DEX data endpoints, 60 req/min for profile/boost endpoints.
# Search by token name, symbol, or address (returns ~30 pairs across all chains)
GET /latest/dex/search?q=BONK
GET /latest/dex/search?q=So11111111111111111111111111111111111111112
# Single pair
GET /latest/dex/pairs/solana/PAIR_ADDRESS
# Multiple pairs (comma-separated)
GET /latest/dex/pairs/solana/PAIR1,PAIR2,PAIR3
# All pairs containing this token across all chains
GET /latest/dex/tokens/TOKEN_MINT_ADDRESS
# Chain-specific (v1)
GET /token-pairs/v1/solana/TOKEN_MINT
# Multiple tokens on one chain (v1)
GET /tokens/v1/solana/TOKEN1,TOKEN2,TOKEN3
# Latest token profiles (60 req/min)
GET /token-profiles/latest/v1
# Latest boosted tokens
GET /token-boosts/latest/v1
# Top boosted tokens (sorted by total boost amount)
GET /token-boosts/top/v1
# Token orders (ads, profile claims)
GET /orders/v1/solana/TOKEN_ADDRESS
# Community takeovers
GET /community-takeovers/latest/v1
{
"chainId": "solana",
"dexId": "raydium",
"url": "https://dexscreener.com/solana/PAIR_ADDR",
"pairAddress": "3nMFwZX...",
"labels": ["CLMM"],
"baseToken": { "address": "So11...", "name": "Wrapped SOL", "symbol": "SOL" },
"quoteToken": { "address": "EPjF...", "name": "USD Coin", "symbol": "USDC" },
"priceNative": "86.08",
"priceUsd": "86.08",
"txns": {
"m5": { "buys": 25, "sells": 18 },
"h1": { "buys": 916, "sells": 1282 },
"h6": { "buys": 11309, "sells": 12661 },
"h24": { "buys": 27974, "sells": 31475 }
},
"volume": { "m5": 41680, "h1": 6773038, "h6": 71628073, "h24": 167164493 },
"priceChange": { "m5": -0.01, "h1": -0.36, "h6": 0.82, "h24": 0.25 },
"liquidity": { "usd": 28168478, "base": 232348, "quote": 8167805 },
"fdv": 8171740,
"marketCap": 8171740,
"pairCreatedAt": 1688106058000,
"info": {
"imageUrl": "https://cdn.dexscreener.com/...",
"websites": [{ "url": "https://...", "label": "Website" }],
"socials": [{ "url": "https://x.com/...", "type": "twitter" }]
}
}
Key notes:
priceNative and priceUsd are strings (preserves precision)pairCreatedAt is milliseconds (divide by 1000 for unix timestamp)labels: "CLMM" (concentrated), "DLMM" (dynamic), "wp" (whirlpool)info is optional — only present if the token profile has been claimedfdv/marketCap may be absent for tokens without supply datadef lookup_token(address: str) -> dict | None:
"""Get the best pair for a token by liquidity."""
resp = httpx.get(f"https://api.dexscreener.com/latest/dex/tokens/{address}")
pairs = resp.json().get("pairs", [])
if not pairs:
return None
# Sort by liquidity (highest first)
pairs.sort(key=lambda p: p.get("liquidity", {}).get("usd", 0), reverse=True)
return pairs[0]
def find_best_price(symbol: str) -> list[dict]:
"""Find a token across all chains and compare prices."""
resp = httpx.get("https://api.dexscreener.com/latest/dex/search", params={"q": symbol})
pairs = resp.json().get("pairs", [])
results = []
for p in pairs:
if p["baseToken"]["symbol"].upper() == symbol.upper():
results.append({
"chain": p["chainId"],
"dex": p["dexId"],
"price": float(p.get("priceUsd", 0)),
"liquidity": p.get("liquidity", {}).get("usd", 0),
"volume_24h": p.get("volume", {}).get("h24", 0),
})
return sorted(results, key=lambda x: x["liquidity"], reverse=True)
def get_newly_boosted() -> list[dict]:
"""Get tokens that were recently boosted (paid promotion)."""
resp = httpx.get("https://api.dexscreener.com/token-boosts/latest/v1")
return [
{
"chain": t["chainId"],
"address": t["tokenAddress"],
"boost_amount": t.get("amount", 0),
"total_boost": t.get("totalAmount", 0),
"description": t.get("description", ""),
}
for t in resp.json()
]
def analyze_pressure(pair: dict) -> dict:
"""Analyze buy/sell pressure from transaction counts."""
txns = pair.get("txns", {})
result = {}
for tf in ["m5", "h1", "h6", "h24"]:
data = txns.get(tf, {})
buys = data.get("buys", 0)
sells = data.get("sells", 0)
total = buys + sells
result[tf] = {
"buys": buys, "sells": sells, "total": total,
"buy_ratio": buys / total if total > 0 else 0.5,
}
return result
Major chains: solana, ethereum, base, arbitrum, bsc, polygon, avalanche, optimism, zksync, scroll, linea, tron, near, aptos, ton, sui, hyperliquid
80+ chains total. The chainId matches the URL path on dexscreener.com.
token_security endpoint| Need | Use |
|---|---|
| Quick free token lookup | DexScreener |
| Cross-chain comparison | DexScreener |
| Historical OHLCV for backtesting | Birdeye or SolanaTracker |
| Wallet/trader analysis | Helius or SolanaTracker |
| Real-time streaming | Yellowstone gRPC or Birdeye WebSocket |
| Token security check | Birdeye or SolanaTracker risk score |
references/endpoints.md — Complete endpoint listing with response schemasreferences/error_handling.md — Rate limits, error codes, best practicesscripts/token_lookup.py — Look up any token across all chains with liquidity analysisscripts/boost_monitor.py — Monitor newly boosted/promoted tokensname: dexscreener-api description: Free, no-auth multi-chain DEX pair data — prices, volume, liquidity, transactions, and token profiles
---
name: dexscreener-api
description: Free, no-auth multi-chain DEX pair data — prices, volume, liquidity, transactions, and token profiles
---
# DexScreener API — Free Multi-Chain DEX Data
DexScreener provides DEX pair data across 80+ chains with **no API key required**. Prices, volume, liquidity, transaction counts, and token profiles — all free. Best for quick lookups, cross-chain comparison, and lightweight monitoring.
## Quick Start
No authentication needed. Just make requests:
```python
import httpx
# Search for a token
resp = httpx.get("https://api.dexscreener.com/latest/dex/search", params={"q": "BONK"})
pairs = resp.json()["pairs"]
for p in pairs[:3]:
print(f"{p['baseToken']['symbol']}/{p['quoteToken']['symbol']} on {p['chainId']}: ${p['priceUsd']}")
```
```bash
# Or with curl
curl "https://api.dexscreener.com/latest/dex/search?q=BONK"
```
## Base URL
`https://api.dexscreener.com`
No API key, no headers required. Rate limits: ~300 req/min for DEX data endpoints, 60 req/min for profile/boost endpoints.
## Core Endpoints
### Search Pairs
```python
# Search by token name, symbol, or address (returns ~30 pairs across all chains)
GET /latest/dex/search?q=BONK
GET /latest/dex/search?q=So11111111111111111111111111111111111111112
```
### Get Pairs by Chain + Pair Address
```python
# Single pair
GET /latest/dex/pairs/solana/PAIR_ADDRESS
# Multiple pairs (comma-separated)
GET /latest/dex/pairs/solana/PAIR1,PAIR2,PAIR3
```
### Get Pairs by Token Address
```python
# All pairs containing this token across all chains
GET /latest/dex/tokens/TOKEN_MINT_ADDRESS
# Chain-specific (v1)
GET /token-pairs/v1/solana/TOKEN_MINT
# Multiple tokens on one chain (v1)
GET /tokens/v1/solana/TOKEN1,TOKEN2,TOKEN3
```
### Token Profiles & Boosts
```python
# Latest token profiles (60 req/min)
GET /token-profiles/latest/v1
# Latest boosted tokens
GET /token-boosts/latest/v1
# Top boosted tokens (sorted by total boost amount)
GET /token-boosts/top/v1
# Token orders (ads, profile claims)
GET /orders/v1/solana/TOKEN_ADDRESS
# Community takeovers
GET /community-takeovers/latest/v1
```
## Pair Response Schema
```json
{
"chainId": "solana",
"dexId": "raydium",
"url": "https://dexscreener.com/solana/PAIR_ADDR",
"pairAddress": "3nMFwZX...",
"labels": ["CLMM"],
"baseToken": { "address": "So11...", "name": "Wrapped SOL", "symbol": "SOL" },
"quoteToken": { "address": "EPjF...", "name": "USD Coin", "symbol": "USDC" },
"priceNative": "86.08",
"priceUsd": "86.08",
"txns": {
"m5": { "buys": 25, "sells": 18 },
"h1": { "buys": 916, "sells": 1282 },
"h6": { "buys": 11309, "sells": 12661 },
"h24": { "buys": 27974, "sells": 31475 }
},
"volume": { "m5": 41680, "h1": 6773038, "h6": 71628073, "h24": 167164493 },
"priceChange": { "m5": -0.01, "h1": -0.36, "h6": 0.82, "h24": 0.25 },
"liquidity": { "usd": 28168478, "base": 232348, "quote": 8167805 },
"fdv": 8171740,
"marketCap": 8171740,
"pairCreatedAt": 1688106058000,
"info": {
"imageUrl": "https://cdn.dexscreener.com/...",
"websites": [{ "url": "https://...", "label": "Website" }],
"socials": [{ "url": "https://x.com/...", "type": "twitter" }]
}
}
```
**Key notes:**
- `priceNative` and `priceUsd` are **strings** (preserves precision)
- `pairCreatedAt` is **milliseconds** (divide by 1000 for unix timestamp)
- `labels`: `"CLMM"` (concentrated), `"DLMM"` (dynamic), `"wp"` (whirlpool)
- `info` is optional — only present if the token profile has been claimed
- `fdv`/`marketCap` may be absent for tokens without supply data
## Common Patterns
### Quick Token Lookup
```python
def lookup_token(address: str) -> dict | None:
"""Get the best pair for a token by liquidity."""
resp = httpx.get(f"https://api.dexscreener.com/latest/dex/tokens/{address}")
pairs = resp.json().get("pairs", [])
if not pairs:
return None
# Sort by liquidity (highest first)
pairs.sort(key=lambda p: p.get("liquidity", {}).get("usd", 0), reverse=True)
return pairs[0]
```
### Cross-Chain Price Check
```python
def find_best_price(symbol: str) -> list[dict]:
"""Find a token across all chains and compare prices."""
resp = httpx.get("https://api.dexscreener.com/latest/dex/search", params={"q": symbol})
pairs = resp.json().get("pairs", [])
results = []
for p in pairs:
if p["baseToken"]["symbol"].upper() == symbol.upper():
results.append({
"chain": p["chainId"],
"dex": p["dexId"],
"price": float(p.get("priceUsd", 0)),
"liquidity": p.get("liquidity", {}).get("usd", 0),
"volume_24h": p.get("volume", {}).get("h24", 0),
})
return sorted(results, key=lambda x: x["liquidity"], reverse=True)
```
### Monitor New Tokens via Boosts
```python
def get_newly_boosted() -> list[dict]:
"""Get tokens that were recently boosted (paid promotion)."""
resp = httpx.get("https://api.dexscreener.com/token-boosts/latest/v1")
return [
{
"chain": t["chainId"],
"address": t["tokenAddress"],
"boost_amount": t.get("amount", 0),
"total_boost": t.get("totalAmount", 0),
"description": t.get("description", ""),
}
for t in resp.json()
]
```
### Buy/Sell Ratio Analysis
```python
def analyze_pressure(pair: dict) -> dict:
"""Analyze buy/sell pressure from transaction counts."""
txns = pair.get("txns", {})
result = {}
for tf in ["m5", "h1", "h6", "h24"]:
data = txns.get(tf, {})
buys = data.get("buys", 0)
sells = data.get("sells", 0)
total = buys + sells
result[tf] = {
"buys": buys, "sells": sells, "total": total,
"buy_ratio": buys / total if total > 0 else 0.5,
}
return result
```
## Supported Chains
Major chains: `solana`, `ethereum`, `base`, `arbitrum`, `bsc`, `polygon`, `avalanche`, `optimism`, `zksync`, `scroll`, `linea`, `tron`, `near`, `aptos`, `ton`, `sui`, `hyperliquid`
80+ chains total. The `chainId` matches the URL path on dexscreener.com.
## Limitations
- **No OHLCV/candle data** — Use Birdeye or SolanaTracker for historical candles
- **No pagination** — Search returns ~30 results max
- **No wallet/trader data** — Use Birdeye or Helius for wallet analysis
- **No token security data** — Use Birdeye `token_security` endpoint
- **Snapshot data only** — Current state, not historical time series
- **No WebSocket** — Polling only
## When to Use DexScreener vs Alternatives
| Need | Use |
|------|-----|
| Quick free token lookup | **DexScreener** |
| Cross-chain comparison | **DexScreener** |
| Historical OHLCV for backtesting | Birdeye or SolanaTracker |
| Wallet/trader analysis | Helius or SolanaTracker |
| Real-time streaming | Yellowstone gRPC or Birdeye WebSocket |
| Token security check | Birdeye or SolanaTracker risk score |
## Files
### References
- `references/endpoints.md` — Complete endpoint listing with response schemas
- `references/error_handling.md` — Rate limits, error codes, best practices
### Scripts
- `scripts/token_lookup.py` — Look up any token across all chains with liquidity analysis
- `scripts/boost_monitor.py` — Monitor newly boosted/promoted tokens
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: MIT
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
72/100
Strong
Trust
64/100
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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"install_policy": "block",
"minimum_review_before_use": [
"Trust: 72/100 Strong shortlist",
"Audit: 79/100 Risky",
"Safety: 35/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "agiprolabs-dexscreener-api (dexscreener-api)",
"install_command": "npx skills add agiprolabs/claude-trading-skills --skill dexscreener-api",
"risk_summary": "Risky; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "agiprolabs-dexscreener-api",
"task": "Use dexscreener-api in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/agiprolabs-dexscreener-api",
"api": "https://www.openagentskill.com/api/agent/skills/agiprolabs-dexscreener-api",
"audit": "https://www.openagentskill.com/skills/agiprolabs-dexscreener-api/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=agiprolabs-dexscreener-api&task=Use%20dexscreener-api%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20dexscreener-api%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20dexscreener-api%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/agiprolabs-dexscreener-api/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/agiprolabs-dexscreener-api"
}
}Listing source
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Audit
79/100
Risky
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.