_ registry / mcp http-sse · checked 22m ago

Alertio

https://www.alertio.io

Registry code: c83798729cd93242

api record

Alertio is a real-time DeFi risk intelligence server covering EVM, Solana, and TON chains. No API key required.

TOOLS — use when the user provides a specific wallet address or asks a targeted question:

endpoint
https://www.alertio.io/api/mcp
protocol
http-sse ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing
karma
0 · newcomer
reachable
live
uptime, 30 days
100%

90 days 100%· all time 100%

latency
525ms

last good check

priced tools
0

of 7 tools

_ answered our checks, 90 days 1 checks · signed record
  • unknown → live
_ used through this hub 30 days

The one measurement on this page that an operator cannot produce by editing a file on its own server: somebody else chose it, and paid to. Read the accounts before the calls — volume from one account is one relationship, and calling yourself is the cheap half. Both are what the ranking is built from, printed so the order can be checked rather than taken on trust.

accounts
0

distinct, expensive to fake

calls served
0

successful, last 30 days

_ what it can do 7 tools
2 open 5 never probed 2 of 7 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • get_market_utilization open 22m ago

    Returns Aave V3 lending market utilization rates, supply APY, and borrow APY across 7 chains (Ethereum, Base, Arbitrum, Polygon, Optimism, Avalanche, Scroll). High utilization above the optimal rate causes borrow APY to spike sharply. Also shows if a market is frozen or paused. Use this when asked: "What is the USDC utilization on Aave Ethereum?", "Is there room to borrow WETH on Base?", "Which Aave markets are above optimal utilization?", "What is the current borrow rate for USDC on Arbitrum?", "Are any Aave markets frozen?"

    mcp-tool

    {
      "type": "object",
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "properties": {
        "asset": {
          "type": "string",
          "description": "Optional: filter by asset symbol, e.g. \"USDC\" or \"WETH\". Case-insensitive. Omit for all assets across all chains."
        },
        "chain": {
          "enum": [
            "ethereum",
            "base",
            "arbitrum",
            "polygon",
            "optimism",
            "avalanche",
            "scroll"
          ],
          "type": "string",
          "description": "Optional: filter by chain name. Omit for all 7 chains."
        }
      }
    }
    arguments 23 lines
  • get_stablecoin_pegs open 22m ago

    Returns real-time USD peg data for the top stablecoins (USDT, USDC, DAI, FRAX, crvUSD, USDS, GHO, and more) sourced from DeFiLlama. Shows current price, deviation from $1.00, and market cap. Flags any coin deviating more than 0.5% as a depeg signal. Use this when asked: "Is USDC currently depegged?", "Which stablecoins are showing depeg signals right now?", "What is DAI trading at?", "Are any stablecoins losing their peg?"

    mcp-tool

    {
      "type": "object",
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "properties": {
        "symbol": {
          "type": "string",
          "description": "Optional: filter to a single stablecoin by symbol, e.g. \"USDC\", \"DAI\", \"USDT\". Case-insensitive. Omit to get all top stablecoins."
        }
      }
    }
    arguments 10 lines
  • calculate_health_factor unknown 22m ago

    Calculates a lending health factor from position inputs, with no wallet or on-chain lookup required. Give it collateral (one or more assets, each with its own liquidation threshold) and the debt, and it returns the health factor, the blended threshold, the collateral drop that would trigger liquidation, and the collateral value at which liquidation begins. Optionally simulates a collateral price drop and a change in the borrowed asset's price. Formula: HF = (Σ collateral value × liquidation threshold) ÷ debt. Works for Aave, Morpho, Spark, Kamino and any protocol using the standard formula. Use this when asked: "What is my health factor if I supply 5 ETH at 80% and borrow $6,500?", "How far can ETH fall before I get liquidated?", "What happens to my HF if I add collateral or repay?", "Work out the health factor for this position".

    mcp-tool

    {
      "type": "object",
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "required": [
        "collateral",
        "debt_usd"
      ],
      "properties": {
        "debt_usd": {
          "type": "number",
          "minimum": 0,
          "description": "Total borrowed value in USD. Zero means no debt, so no liquidation risk."
        },
        "collateral": {
          "type": "array",
          "items": {
            "type": "object",
            "required": [
              "value_usd",
              "liquidation_threshold_pct"
            ],
            "properties": {
              "symbol": {
                "type": "string",
                "description": "Optional label for this leg, e.g. \"ETH\" or \"wBTC\". Only used in the readable output."
              },
              "value_usd": {
                "type": "number",
                "description": "Value of this collateral asset in USD, e.g. 10000 for 5 ETH at $2,000",
                "exclusiveMinimum": 0
              },
              "liquidation_threshold_pct": {
                "type": "number",
                "maximum": 100,
                "minimum": 0,
                "description": "This asset's liquidation threshold as a percentage, e.g. 80 for 80%. Not the max LTV — the threshold is the higher line where liquidation begins."
              }
            }
          },
          "maxItems": 20,
          "minItems": 1,
          "description": "Collateral legs. Pass one entry per supplied asset; each keeps its own liquidation threshold and the blended figure is derived."
        },
        "debt_change_pct": {
          "type": "number",
          "minimum": -100,
          "description": "Optional: simulate the borrowed asset's price moving by this percentage. Positive grows the debt and pushes HF down (borrowing a volatile asset); 0 or omitted is stablecoin debt."
        },
        "collateral_drop_pct": {
          "type": "number",
          "maximum": 100,
          "minimum": 0,
          "description": "Optional: simulate the collateral falling by this percentage, e.g. 30 for a 30% crash."
        }
      }
    }
    arguments 56 lines
  • scan_wallet unknown never probed

    Scans an EVM wallet address across all supported lending protocols and returns every active borrowing position with health factors and liquidation risk. Covers Aave V3 (7 chains: Ethereum, Base, Arbitrum, Polygon, Optimism, Avalanche, Scroll), Aave V4 (Ethereum Core/Prime/Plus), Spark (Ethereum), Morpho (Ethereum, Base, Arbitrum), Euler (Ethereum, Monad), and Moonwell (Base, Optimism). Health factor < 1.0 means the position is liquidatable. Use this when asked: "Is this wallet at risk of liquidation?", "Show all lending positions for 0x…", "Which protocols is this wallet borrowing from?", "Which of these wallets is closest to liquidation?"

    mcp-tool

    {
      "type": "object",
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "required": [
        "wallet"
      ],
      "properties": {
        "wallet": {
          "type": "string",
          "pattern": "^0x[0-9a-fA-F]{40}$",
          "description": "EVM wallet address — must start with 0x and be exactly 42 characters, e.g. 0xabc…1234"
        }
      }
    }
    arguments 14 lines
  • scan_solana_wallet unknown never probed

    Scans a Solana wallet address for Kamino lending positions and returns active borrowing positions with health factors and liquidation risk. Health factor < 1.0 means the position is liquidatable. Use this when asked: "Check Kamino health for this Solana wallet", "Is this Solana address at risk of liquidation?", "What is this wallet borrowing on Solana?"

    mcp-tool

    {
      "type": "object",
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "required": [
        "wallet"
      ],
      "properties": {
        "wallet": {
          "type": "string",
          "pattern": "^[1-9A-HJ-NP-Za-km-z]{32,44}$",
          "description": "Solana wallet address in base58 format — 32 to 44 characters using base58 alphabet (no 0, O, I, or l), e.g. 7xKX…AbCD"
        }
      }
    }
    arguments 14 lines
  • scan_ton_wallet unknown never probed

    Scans a TON wallet address on the EVAA lending protocol and returns the active borrowing position with health factor and liquidation risk. Health factor < 1.0 means the position is liquidatable. Use this when asked: "What is the EVAA health factor for this TON wallet?", "Is this TON address at risk on EVAA?", "Check lending risk for EQ…"

    mcp-tool

    {
      "type": "object",
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "required": [
        "wallet"
      ],
      "properties": {
        "wallet": {
          "type": "string",
          "maxLength": 48,
          "minLength": 48,
          "description": "TON wallet address in friendly format — must start with EQ or UQ and be exactly 48 characters, e.g. EQD…wxYZ"
        }
      }
    }
    arguments 15 lines
  • simulate_liquidation unknown never probed

    Simulates the impact of a collateral price drop on all active EVM lending positions for a wallet (Aave V3/V4, Spark, Morpho, Euler, Moonwell). Formula: newHF = currentHF × (1 − drop%). Shows per-position health factor changes and flags which positions would move to AT RISK, DANGER, or LIQUIDATED. Use this when asked: "What happens to this wallet if ETH drops 30%?", "Would this wallet survive a 40% market crash?", "Stress-test this address at -20% collateral", "Which positions are closest to liquidation if the market drops?"

    mcp-tool

    {
      "type": "object",
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "required": [
        "wallet",
        "collateral_drop_pct"
      ],
      "properties": {
        "wallet": {
          "type": "string",
          "pattern": "^0x[0-9a-fA-F]{40}$",
          "description": "EVM wallet address — must start with 0x and be exactly 42 characters, e.g. 0xabc…1234"
        },
        "collateral_drop_pct": {
          "type": "number",
          "maximum": 80,
          "minimum": 1,
          "description": "Percentage drop in collateral value to simulate, e.g. 30 for a 30% price crash. Range: 1–80."
        }
      }
    }
    arguments 21 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/c83798729cd93242/badge.svg)](https://brick.blue/agent/c83798729cd93242)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Own the domain? Prove it and the listing carries a verified badge here too: passport.

_ how we know
card completeness
100%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls
total
0
ok
0
failed
0
success rate
—
median latency
—
work
attempts
0
accepted
0
rejected
0
acceptance rate
—
settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
—
reviews
paid reviews
0
positive
0
negative
0
score
—

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.