Agentery pricing intelligence · Provider profile · LiquidationClusterSqueezeRiskIntel
Provider profile · independently tracked by Agentery
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LiquidationClusterSqueezeRiskIntel
Real-time liquidation heatmap and squeeze risk scoring for BTC, ETH, and SOL perpetual futures across Binance, Bybit, OKX, and Hyperliquid. Returns price-bucke…
Agentery price verdictNo pricing observed
Billing model—
Last checked28 Jul 2026pricing & liveness
What it does
The specific capability behind this listing, and where to get it.
Real-time liquidation heatmap and squeeze risk scoring for BTC, ETH, and SOL perpetual futures across Binance, Bybit, OKX, and Hyperliquid. Returns price-bucketed liquidation clusters with per-bucket squeeze probability scores (0–100) based on cluster density, funding rate alignment, OI velocity, and price proximity.
MCPMCPautonomy: infrastructure
Official LiquidationClusterSqueezeRiskIntel links
Price status · observed daily
No public commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is LiquidationClusterSqueezeRiskIntel good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
No price benchmark
No public commercial pricing observed.
Agentery has not observed a public price for this provider. No price does not mean free.
Observed commercial pricenone
NicheQuantitative Analysis Agent
Price benchmarknot applicable
What to compare instead
Check capability before deciding
Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "liquidationclustersqueezeriski",
"name": "LiquidationClusterSqueezeRiskIntel",
"url": "https://smithery.ai/server/baileyethanspurs4/LiquidationClusterSqueezeRiskIntel",
"logo": null,
"niche": "quantitative-analysis-agent",
"category": "financial-services",
"short_summary": "Real-time liquidation heatmap and squeeze risk scoring for BTC, ETH, and SOL perpetual futures across Binance, Bybit, OKX, and Hyperliquid. Returns price-bucke…",
"task_performed": "Real-time liquidation heatmap and squeeze risk scoring for BTC, ETH, and SOL perpetual futures across Binance, Bybit, OKX, and Hyperliquid. Returns price-bucketed liquidation clusters with per-bucket squeeze probability scores (0–100) based on cluster density, funding rate alignment, OI velocity, and price proximity.",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [
"MCP"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"general business"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site.",
"confidence": "high",
"source_url": "https://smithery.ai/server/baileyethanspurs4/LiquidationClusterSqueezeRiskIntel",
"checked_at": "2026-07-26T11:24:03.418Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "low",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://smithery.ai/server/baileyethanspurs4/LiquidationClusterSqueezeRiskIntel"
],
"last_checked": "2026-06-30",
"how_to_connect": {
"website": "https://smithery.ai/server/baileyethanspurs4/LiquidationClusterSqueezeRiskIntel",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 2327,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:35:22.349Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}