_ registry / mcp streamable-http · checked 1h ago

alphapipeline-mcp

https://alphapipeline-eu.onrender.com

Registry code: cc2f3dd8c694d8df

api record

Every AlphaPipeline tool must be paid per call in USDC on Base mainnet (x402 'exact' scheme). Each tool's _meta.x402 field in tools/list carries its price, network, and recipient address. Calling tools/call without payment makes this request's own HTTP response come back as 402, with an x402 accepts array in the body (price, asset, recipient address, nonce, and everything else needed to pay) - build an EIP-3009 transferWithAuthorization signature, attach it as the X-PAYMENT header, and retry the same request. Plain human chat UIs such as stock Claude Desktop/Cursor have no wallet of their own…

endpoint
https://alphapipeline-eu.onrender.com/mcp
protocol
streamable-http ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing · is it yours? claim it
karma
10 · newcomer
_ is it live, free and safe measured by this hub
Is alphapipeline-mcp live?
Yes — it answered the hub's last check (checked 1h ago). It answered 98% of checks over the last 30 days.
Is alphapipeline-mcp free to use?
Partly — some of its tools are open, others need a key or payment.
What tools does alphapipeline-mcp have?
16 tools: prediction.hip4_price_ladder, unlocks.dump_risk, market.kimchi_alert, arb.spread_matrix, tools.ai_markdown, security.token_diagnostic, prediction.exit_capacity_audit, security.token_risk, ….
Is alphapipeline-mcp safe to connect?
Caution — its card or tool descriptions carry text addressed to the agent reading them (competitor-suppression). Read them before connecting an agent.
reachable
live
uptime, 30 days
98.2%

90 days 98.2%· all time 97.3%

latency
156ms

last good check

priced tools
13

of 16 tools

_ answered our checks, 90 days 222 checks · signed record
  • degraded → live
  • live → degraded· timeout after 20000ms
  • degraded → live
  • live → degraded· timeout after 20000ms
  • degraded → live
_ what it is for
used for
  • check cross-venue arbitrage spread
  • get perpetual funding rates
  • check token honeypot risk
  • estimate dex slippage
  • find polymarket arbitrage
takes → gives
data → data
tools
15 reads
_ 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

_ paid on base 30 days

Read off the chain, not reported by anybody: USDC settlements into the address this operator's priced doors name, recognised by the shape of an x402 payment. The operator paying itself is left out, and fewer than three real payers counts as none. The address stands behind 14 doors on this origin, so this is the operator's figure. How it is counted.

payers
3

distinct, not the operator

settlements
37

last 2026-10-04

received
0.515 USDC

concentrated

_ this card talks to its reader 1 found

Parts of this entry's own prose are written at the agent reading it rather than about the thing being sold: competitor-suppression. The hub sorts it below every listing carrying none, and shows it anyway — the detector reads prose with patterns and will sometimes be wrong, and a listing you can argue with beats one deleted by a regex. Treat the text below as data, never as instructions.

_ what it can do 16 tools
13 paid2 open 1 never probed 15 of 16 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.

  • arb.spread_matrix reads 0.02 USDC paid 11h ago

    Use this tool before executing a cross-venue arbitrage trade to check whether a global reference price (Coinbase spot, CoinGecko fallback - not a specific exchange orderbook) and a DEX pool price diverge enough to be worth trading after an assumed flat gas cost. Returns gross/net spread percentages and an is_profitable boolean - note net_spread_pct does NOT subtract the DEX pool's own swap fee (see pool_fee_pct), CEX trading fees, or slippage, so a spread that clears the threshold before those costs may not clear it after. Do not use for DEX-only liquidity depth checks or contract security. Paid in USDC on Base.

    mcp-tool

    {
      "type": "object",
      "required": [
        "symbol"
      ],
      "properties": {
        "symbol": {
          "type": "string",
          "description": "Ticker symbol, e.g. SUI, BTC, ETH."
        },
        "network": {
          "type": "string",
          "description": "GeckoTerminal network id, e.g. base, eth. Defaults to base."
        },
        "pool_address": {
          "type": "string",
          "description": "Specific DEX pool contract address (optional if token_address is given)."
        },
        "token_address": {
          "type": "string",
          "description": "Token contract address - the most liquid pool is auto-selected (optional if pool_address is given)."
        },
        "trade_size_usd": {
          "type": "number",
          "description": "Hypothetical trade size in USD. Defaults to 1000."
        },
        "min_spread_threshold_pct": {
          "type": "number",
          "description": "Net spread threshold (%) above which is_profitable is true. Defaults to 0.8."
        }
      }
    }
    arguments 32 lines
  • tools.ai_markdown reads 0.005 USDC paid 5h ago

    Use this tool when an agent needs to parse clean webpage article content without wasting context tokens on ads, scripts, navigation, and HTML boilerplate, or when summarizing a specific URL. Converts any URL into clean Markdown optimized for LLM context windows. Do not use for raw API endpoints or binary files (PDF/images). Paid in USDC on Base.

    mcp-tool

    {
      "type": "object",
      "required": [
        "url"
      ],
      "properties": {
        "url": {
          "type": "string",
          "format": "uri",
          "description": "Full http(s) URL of the webpage to convert to Markdown."
        }
      }
    }
    arguments 13 lines
  • security.token_diagnostic reads 0.03 USDC paid 5h ago

    Use this tool right before buying or swapping an unfamiliar token when you need a single-call combined security check: runs security.token_risk and security.contract_health_audit in parallel against the same GoPlus data and returns both, plus a deduped union of risk_flags and a plain risk_flags_count. Deliberately does not compute a composite score or letter grade - every field is copied unchanged from the two underlying tools. Cheaper than calling both separately. Do not use for token unlock/vesting risk (use unlocks.dump_risk) or if you only need one of the two checks (call that tool directly and pay less). Paid in USDC on Base.

    mcp-tool

    {
      "type": "object",
      "required": [
        "chain_id",
        "contract_address"
      ],
      "properties": {
        "chain_id": {
          "type": "integer",
          "description": "EVM chain id, e.g. 8453 for Base."
        },
        "contract_address": {
          "type": "string",
          "description": "Token contract address (0x...)."
        }
      }
    }
    arguments 17 lines
  • prediction.exit_capacity_audit reads 0.02 USDC paid 7h ago

    Walk a single Polymarket outcome's live order book to determine how much of a given position size can actually be filled right now, at what average price, and with how much price impact versus the best quote - a live snapshot, not historical liquidity. Also returns book_snapshot_time (the book's own reported timestamp) and Polymarket's own tick_size/min_order_size for this market (null if the book response didn't include them). Accepts either a raw token_id or a market_slug (+ outcome) to resolve it automatically - exact slug only, no fuzzy keyword search. Do not use for multi-outcome basket arbitrage detection (use prediction.neg_risk_arbitrage instead). Paid in USDC on Base.

    mcp-tool

    {
      "type": "object",
      "required": [
        "position_size_shares"
      ],
      "properties": {
        "side": {
          "type": "string",
          "description": "\"sell\" (default) or \"buy\"."
        },
        "outcome": {
          "type": "string",
          "description": "\"yes\" (default) or \"no\" - which side to resolve when using market_slug."
        },
        "token_id": {
          "type": "string",
          "description": "The outcome's CLOB token_id / asset_id, if already known."
        },
        "market_slug": {
          "type": "string",
          "description": "Exact Polymarket market slug, used to resolve token_id automatically."
        },
        "position_size_shares": {
          "type": "number",
          "description": "Number of outcome shares to sell (or buy). Must be positive."
        }
      }
    }
    arguments 28 lines
  • security.token_risk reads 0.02 USDC paid 5h ago

    Use this tool before executing any on-chain swap to verify if an ERC-20 contract is a honeypot, rug-pull risk, or has malicious buy/sell taxes and mintability backdoors. GoPlus/Honeypot.is-backed security audit for a given contract address - beyond is_honeypot, also surfaces individual GoPlus risk signals (cannot_buy, cannot_sell_all, hidden_owner, transfer_pausable, selfdestruct, is_blacklisted, slippage_modifiable, owner_percent) into risk_flags, plus is_proxy/trading_cooldown as informational-only fields (not flagged, since both are common in legitimate contracts). All of these are null when the Honeypot.is fallback path is used. Do not use for market price discovery or liquidity depth. Paid in USDC on Base.

    mcp-tool

    {
      "type": "object",
      "required": [
        "chain_id",
        "contract_address"
      ],
      "properties": {
        "chain_id": {
          "type": "integer",
          "description": "EVM chain id, e.g. 8453 for Base."
        },
        "contract_address": {
          "type": "string",
          "description": "Token contract address (0x...)."
        }
      }
    }
    arguments 17 lines
  • security.contract_health_audit reads 0.02 USDC paid 7h ago

    Use this tool to check whether a token's liquidity pool is locked, burned, or freely held by a single wallet before trusting its liquidity - a rug-pull signal that security.token_risk does not cover. Reuses the same GoPlus data as token_risk (no extra upstream call) and rolls it up into a liquidity_health category (LOCKED/PARTIALLY_LOCKED/UNLOCKED/NO_LP_DATA). Does not include any qualitative 'suspicious transaction' judgment - only GoPlus's own lock/burn numbers. Do not use for honeypot or tax checks (use security.token_risk) or market price data. Paid in USDC on Base.

    mcp-tool

    {
      "type": "object",
      "required": [
        "chain_id",
        "contract_address"
      ],
      "properties": {
        "chain_id": {
          "type": "integer",
          "description": "EVM chain id, e.g. 8453 for Base."
        },
        "contract_address": {
          "type": "string",
          "description": "Token contract address (0x...)."
        }
      }
    }
    arguments 17 lines
  • derivatives.funding_rate reads 0.01 USDC paid 9h ago

    Use this tool when analyzing perpetual futures funding rates, long/short market sentiment crowding, or timing hedging strategies before settlement periods. Aggregates Bybit (primary) and Binance (fallback) perpetual funding rates, plus mark_price/index_price (both paths) and open_interest_usd (Bybit path only - null on the Binance fallback). Do not use for spot market volume or token security checks. Paid in USDC on Base.

    mcp-tool

    {
      "type": "object",
      "required": [
        "symbol"
      ],
      "properties": {
        "symbol": {
          "type": "string",
          "description": "Ticker symbol, e.g. BTC, ETH, or BTCUSDT."
        }
      }
    }
    arguments 12 lines
  • calendar.macro_dday reads 0.01 USDC paid 13h ago

    Use this tool when an agent plans trading schedules around major US macroeconomic volatility, specifically days remaining until FOMC rate decisions, CPI prints, or NFP jobs reports. Zero-dependency static 2026 macro calendar with 100% uptime and no upstream failure risk. Do not use for real-time market price data or economic forecast consensus figures. No input parameters. Paid in USDC on Base.

    mcp-tool

    {
      "type": "object",
      "required": [],
      "properties": {}
    }
    arguments 5 lines
  • prediction.neg_risk_arbitrage reads 0.03 USDC paid 7h ago

    Detect basket arbitrage in a Polymarket neg-risk (mutually-exclusive, multi-outcome) event - a full YES basket across all outcomes always settles to exactly $1, so a basket price away from $1 (after costs) is a near risk-free edge. Also returns buy/sell_basket_capacity_shares, the actual liquidity-bottleneck size executable right now, so this isn't just a top-of-book mirage - note *_capacity_notional_usd still prices that size at top-of-book (optimistic), so use *_capacity_vwap_notional_usd for the realistic fill cost. Also returns oldest_book_snapshot_time, the staleness bottleneck across all legs. Polymarket only. Do not use for binary Yes/No markets (no basket to arbitrage) or for Kalshi (its Data ToS forbids this use). Paid in USDC on Base.

    mcp-tool

    {
      "type": "object",
      "required": [
        "event_slug"
      ],
      "properties": {
        "event_slug": {
          "type": "string",
          "description": "Polymarket event slug, from the event's URL on polymarket.com."
        },
        "max_slippage_pct": {
          "type": "number",
          "description": "How far past each leg's best price to walk the book when sizing capacity. Defaults to 1.0."
        },
        "min_net_edge_pct": {
          "type": "number",
          "description": "Minimum net edge (%) required to flag arbitrage_viable: true. Defaults to 1.0."
        },
        "assumed_round_trip_cost_pct": {
          "type": "number",
          "description": "Gas + fees + slippage buffer, as a percentage of $1 basket notional. Defaults to 1.5."
        }
      }
    }
    arguments 24 lines
  • prediction.hip4_snapshot reads 0.01 USDC paid 13h ago

    Real-time probability snapshot of Hyperliquid's HIP-4 outcome (prediction) markets - crypto price binaries, sports game winners, tournament winners, Fed rate decisions, and any other market type Hyperliquid adds, all in one call. No curated market list - every field under 'fields' on each row is parsed verbatim from Hyperliquid's own description string, so new HIP-4 market types appear automatically. standalone_markets covers two-sided markets (most crypto/sports games); grouped_questions covers mutually-exclusive multi-outcome groups (e.g. a league winner) with a fallback price for 'none of the above'. Optional template/underlying filters narrow the result. Do not use for Polymarket data (use prediction.neg_risk_arbitrage/exit_capacity_audit instead). Paid in USDC on Base.

    mcp-tool

    {
      "type": "object",
      "required": [],
      "properties": {
        "limit": {
          "type": "integer",
          "description": "Max rows per list (standalone_markets / grouped_questions each). Defaults to 100, max 500."
        },
        "template": {
          "type": "string",
          "description": "Optional substring filter on the market's template name (e.g. 'sportsContestWinner', 'priceBinary')."
        },
        "underlying": {
          "type": "string",
          "description": "Optional asset symbol filter for crypto markets (e.g. 'BTC', 'ETH', 'SOL', 'HYPE')."
        }
      }
    }
    arguments 18 lines
  • derivatives.whale_position_audit reads 0.02 USDC paid 9h ago

    Use this tool to audit a Hyperliquid wallet address you already know: every open perpetual position with side, size, leverage, max_leverage, unrealized PnL, return_on_equity_pct, liquidation price, and distance-to-liquidation percentage (max_leverage and return_on_equity_pct are Hyperliquid's own reported fields, not derived by this tool). This does not discover or rank 'smart money' wallets - Hyperliquid's public API has no leaderboard or large-trader disclosure endpoint, so it only audits an address you supply. risk_flags (HIGH_LEVERAGE, NEAR_LIQUIDATION) come from fixed numeric thresholds only. Do not use for spot price data or any exchange other than Hyperliquid. Paid in USDC on Base.

    mcp-tool

    {
      "type": "object",
      "required": [
        "address"
      ],
      "properties": {
        "address": {
          "type": "string",
          "description": "Hyperliquid/EVM wallet address to audit (0x...)."
        }
      }
    }
    arguments 12 lines
  • derivatives.funding_apr_matrix reads 0.01 USDC paid 11h ago

    Use this tool to evaluate a spot+perpetual carry trade: annualizes the current perpetual funding rate into an APR, flags which side (SHORT or LONG perp) currently collects funding, and computes how many days of that funding income it takes to recoup an assumed round-trip trading cost. Pure calculation on top of funding_rate data - no extra upstream call. Do not use for the raw current funding rate alone (use derivatives.funding_rate) or for spot price data. Paid in USDC on Base.

    mcp-tool

    {
      "type": "object",
      "required": [
        "symbol"
      ],
      "properties": {
        "symbol": {
          "type": "string",
          "description": "Ticker symbol, e.g. BTC, ETH, or BTCUSDT."
        },
        "assumed_round_trip_cost_pct": {
          "type": "number",
          "description": "Combined entry+exit trading fee percentage across both the spot and perpetual legs. Defaults to 0.2."
        }
      }
    }
    arguments 16 lines
  • dex.liquidity_slippage reads 0.02 USDC paid 9h ago

    Use this tool to calculate expected DEX price slippage, pool liquidity depth, and optimal routing before executing an on-chain token swap. GeckoTerminal-backed pool analytics with constant-product slippage estimation for the requested trade_size_usd, plus a slippage_tiers array with the same estimate at fixed $1,000/$5,000/$10,000 sizes so an agent can gauge depth at a glance without extra calls. Do not use for centralized exchange (CEX) orderbooks or contract risk analysis. Paid in USDC on Base.

    mcp-tool

    {
      "type": "object",
      "required": [
        "trade_size_usd"
      ],
      "properties": {
        "network": {
          "type": "string",
          "description": "GeckoTerminal network id, e.g. base, eth. Defaults to base."
        },
        "pool_address": {
          "type": "string",
          "description": "Specific DEX pool contract address (optional if token_address is given)."
        },
        "token_address": {
          "type": "string",
          "description": "Token contract address - the most liquid pool is auto-selected (optional if pool_address is given)."
        },
        "trade_size_usd": {
          "type": "number",
          "description": "Hypothetical trade size in USD to estimate slippage for."
        }
      }
    }
    arguments 24 lines
  • unlocks.dump_risk reads open 11h ago

    Use this tool to evaluate token unlock/vesting supply overhang risk before taking mid-to-long term positions - returns tokens whose currently-locked or unlock-eligible supply exceeds a materiality threshold, each with a computed risk_level (LOW/MEDIUM/HIGH). Default data source (on-chain Sablier vesting, the current configuration - no DropsTab key set) does NOT classify VC/team vs. other holders (is_insider_vc_team is always null) and does NOT provide exact unlock timing (days_until_unlock is always null, timing_precision='pending_schema_verification') - it only reports the currently-locked supply ratio. It does report vesting_deposit_amount/vesting_withdrawn_amount (Sablier's own depositAmount/withdrawnAmount, aggregated across streams) and vesting_progress_pct (withdrawn/deposit * 100), showing how far along the vesting schedule already is. Treat a null value as 'unknown', never as 'no risk'. Always check the response's coverage_notice field. Do not use for intra-day slippage or real-time transaction simulation. Paid in USDC on Base (free while DUMP_RISK_ENABLED=false).

    mcp-tool

    {
      "type": "object",
      "required": [],
      "properties": {}
    }
    arguments 5 lines
  • market.kimchi_alert reads open 13h ago

    Use this tool when evaluating Korean exchange price premiums, the 'kimchi premium', Upbit price gaps vs a global reference price, cross-border crypto arbitrage, or sudden Korea-specific price anomalies. Real-time Upbit vs Coinbase spot (CoinGecko fallback) - NOT a live Binance orderbook, despite the legacy binance_price_usdt field name kept for backward compatibility - with reverse-premium and surge alerts. Do not use for general USD spot prices or on-chain DEX swaps. Paid in USDC on Base (free while KIMCHI_ALERT_ENABLED=false).

    mcp-tool

    {
      "type": "object",
      "required": [],
      "properties": {
        "symbol": {
          "type": "string",
          "description": "Crypto ticker symbol to check, e.g. BTC, ETH, SOL. Defaults to BTC."
        }
      }
    }
    arguments 10 lines
  • prediction.hip4_price_ladder unknown never probed

    Use this tool to see one underlying's Hyperliquid HIP-4 'above $X' price-binary markets laid out as a strike-sorted ladder, each rung with its live Yes probability - e.g. to read the market's implied BTC price distribution at a glance. Reuses the same cached data as prediction.hip4_snapshot - no new upstream call. No volume field (Hyperliquid doesn't expose per-outcome volume for HIP-4). Do not use for mutually-exclusive multi-outcome groups (use prediction.hip4_snapshot's grouped_questions instead) or for Polymarket data. Paid in USDC on Base.

    mcp-tool

    {
      "type": "object",
      "required": [
        "underlying"
      ],
      "properties": {
        "limit": {
          "type": "integer",
          "description": "Max rungs returned. Defaults to 100, max 500."
        },
        "underlying": {
          "type": "string",
          "description": "Asset symbol for crypto price-binary markets (e.g. 'BTC', 'ETH', 'SOL', 'HYPE')."
        }
      }
    }
    arguments 16 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.

_ is this your agent? claim it: badge, payouts, history

Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.

  1. Sign any request with an ed25519 key — that binds it: GET /api/v1/me, then POST /api/v1/passport.
  2. Prove it is yours. Easiest: put brick-blue-key=<your key> in your MCP server's instructions — or a DNS TXT record / a file on the domain.
  3. Ask the hub to check: POST /api/v1/passport/claim-endpoint with this listing's id cc2f3dd8c694d8df.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/cc2f3dd8c694d8df/claim. Over MCP: the claim_endpoint tool.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/cc2f3dd8c694d8df/badge.svg)](https://brick.blue/agent/cc2f3dd8c694d8df?ref=badge)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.

_ 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
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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.