_ registry / mcp http-sse · checked 57m ago

n0brains

https://api.n0brains.com

Registry code: fb718de4e8a37042

api record

n0brains market-intel server (read-only data; journal tools write only to your own private journal). tools/list and initialize are open so unauthenticated catalog discovery works. AGENT PLAYBOOK — follow this instead of exploring the catalog tool-by-tool:

n0brains = measured market intel (crypto + HIP-3 stocks/metals/indices). Every

endpoint
https://api.n0brains.com/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
100%
latency
514ms

last good check

priced tools
0

of 52 tools

_ what it is for
topic
crypto & onchain trading & defi
used for
  • get market intel
  • find a trade
  • check trade conditions
  • get coin state
  • review journal
takes → gives
text, data → text, data
tools
37 reads3 changes data
_ 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.

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0

distinct, expensive to fake

calls served
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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 3 doors on this origin, so this is the operator's figure. How it is counted.

payers
2

distinct, not the operator

settlements
13

last 2026-09-23

received
0 USDC

thin, concentrated

_ what it can do 52 tools
52 auth-required 52 of 52 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_opens auth-required 8d ago

    [DRILL-DOWN] Latest TradFi market open prices for BTC/ETH/SOL across sessions. Source: watchers.market_opening_watcher.get_latest_opens(). Same data as REST /market-opens.

    mcp-tool

    {
  "type": "object",
  "title": "get_market_opensArguments",
  "properties": {}
}
    arguments 5 lines
  • health auth-required never probed

    [META] Liveness + lightweight pipeline stats: uptime, signals in last 1h, current macro regime, classifier backlog. Mirrors REST GET /health with extra context. Pro-gated (per tools/call rule) — use REST /health for unauthenticated liveness.

    mcp-tool

    {
  "type": "object",
  "title": "healthArguments",
  "properties": {}
}
    arguments 5 lines
  • get_options auth-required never probed

    [DRILL-DOWN] Options analytics for a coin (BTC or ETH): ATM implied vol, skew (put-call IV proxy — the fear gauge), IV term structure, put/call OI ratio, and max-pain, from public Deribit data. Positive skew = downside hedging/fear; term_structure slope > 0 = contango. Descriptive positioning, not prediction. Same data as REST /options/{coin}.

    mcp-tool

    {
  "type": "object",
  "title": "get_optionsArguments",
  "required": [
    "coin"
  ],
  "properties": {
    "coin": {
      "type": "string",
      "title": "Coin"
    }
  }
}
    arguments 13 lines
  • rank_trades reads auth-required never probed

    [STEP 2 — pick the coin] Cross-asset ranking: assembled trade plans for the given coins sorted by setup_score (best first) — answers 'which coin is the better trade right now?'. coins = comma-separated (default BTC,ETH,SOL). Mirrors GET /rank. Analytical, not advice.

    mcp-tool

    {
  "type": "object",
  "title": "rank_tradesArguments",
  "properties": {
    "coins": {
      "type": "string",
      "title": "Coins",
      "default": "BTC,ETH,SOL"
    }
  }
}
    arguments 11 lines
  • get_long_short reads auth-required never probed

    [DRILL-DOWN] Long/short positioning for one coin from REAL data, mode picked by the asset's primary source: DEX price-point buckets (Hyperliquid+GMX, BTC/ETH-style), CFTC COT (metals/oil/indices), or exchange long/short ratios (alts). Returns latest buckets {price, long_usd, short_usd}, totals + long_pct + ls_ratio, the accumulated trend over `days` (1-90, default 7), and funding + OI-by-venue context. Complements get_positioning (the 8-leg synthesis) with the raw who-is-long-where view. Mirrors REST /charts/long-short/{coin}. Analytical, not advice.

    mcp-tool

    {
  "type": "object",
  "title": "get_long_shortArguments",
  "required": [
    "coin"
  ],
  "properties": {
    "coin": {
      "type": "string",
      "title": "Coin"
    },
    "days": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Days",
      "default": 7
    }
  }
}
    arguments 25 lines
  • get_trust reads auth-required never probed

    [FORENSICS] Trust / scam-risk screen for a token: resolves the ticker to a contract via DexScreener, then checks GoPlus Security for honeypot behavior, mint function, high taxes, and insider concentration. Run this BEFORE taking any alt-coin signal seriously — a bullish read on a honeypot is worthless. Mirrors REST /trust/{coin}. Analytical data only, not financial advice.

    mcp-tool

    {
  "type": "object",
  "title": "get_trustArguments",
  "required": [
    "coin"
  ],
  "properties": {
    "coin": {
      "type": "string",
      "title": "Coin"
    }
  }
}
    arguments 13 lines
  • get_narrative reads auth-required never probed

    [FORENSICS] Narrative heatmap for one asset: signal momentum, velocity, decay, manipulation probability and directional conviction across 1h / 4h / 24h windows — is the story building or dying? Complements get_mindshare_coin (attention share) with time-structure. Mirrors REST /narrative/{coin}. Analytical, not advice.

    mcp-tool

    {
  "type": "object",
  "title": "get_narrativeArguments",
  "required": [
    "coin"
  ],
  "properties": {
    "coin": {
      "type": "string",
      "title": "Coin"
    }
  }
}
    arguments 13 lines
  • get_sentiment auth-required never probed

    [DRILL-DOWN] Aggregate sentiment for a coin: net directional lean (confidence-weighted, recency-decayed), chatter volume + velocity (is it accelerating?), and contributing sources, over 24h. Coverage is CURATED high-edge authors — what the tracked smart-money voices lean, NOT mass social volume. Same data as REST /sentiment/{coin}.

    mcp-tool

    {
  "type": "object",
  "title": "get_sentimentArguments",
  "required": [
    "coin"
  ],
  "properties": {
    "coin": {
      "type": "string",
      "title": "Coin"
    }
  }
}
    arguments 13 lines
  • get_positioning reads auth-required 8d ago

    [DRILL-DOWN — who is crowded] Positioning thesis for one coin: who is crowded and which way. Combines funding-rate crowding (30d z-score), taker CVD buy/sell dominance (2h + 24h), open-interest-vs-price divergence (new longs / short-covering / new shorts / capitulation), options put-call + skew + max-pain TREND (BTC/ETH/XRP/SOL), nearest liquidation magnets above/below with notional, and whale stance (fade-corrected) into a single net positioning bias in [-1,1] with plain-English reasoning per component, per-line data freshness, and a coverage grade (full/broad/partial/thin — how many of the 8 legs actually contributed; full means every leg, `missing` names any that did not, so a thin-coverage score cannot read like a full one). Use INSTEAD of manually combining get_liquidation_map + get_options + funding. Mirrors REST /positioning/{coin}. Conditioning context, not financial advice.

    mcp-tool

    {
  "type": "object",
  "title": "get_positioningArguments",
  "properties": {
    "coin": {
      "type": "string",
      "title": "Coin",
      "default": "BTC"
    }
  }
}
    arguments 11 lines
  • get_discovery reads auth-required 8d ago

    [RECEIPTS — experimental] Emergent edge discovery: corroboration class-combinations mined from the shadow ledger vs realized forward returns, ranked by measured edge (honesty-gated, both-halves). Surfaces patterns nobody hand-coded. status=accruing until the ledger fills (~60-90d). Candidate, not advice.

    mcp-tool

    {
  "type": "object",
  "title": "get_discoveryArguments",
  "properties": {}
}
    arguments 5 lines
  • get_economic_calendar auth-required 8d ago

    [TIMING] Scheduled macro + earnings calendar — the 'knows WHEN' feed. Upcoming high-impact US macro releases (CPI, NFP, FOMC, PPI, GDP) and tracked single-name earnings (NVDA, TSLA, MSFT, +) with consensus/previous, and actual + surprise once printed. Args: days_back (0-90, default 7), days_ahead (0-60, default 14), event_class ('macro'|'earnings', optional). Same data as REST /calendar. Context for timing/regime, not a direction call.

    mcp-tool

    {
  "type": "object",
  "title": "get_economic_calendarArguments",
  "properties": {
    "days_back": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Days Back",
      "default": 7
    },
    "days_ahead": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Days Ahead",
      "default": 14
    },
    "event_class": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Event Class",
      "default": null
    }
  }
}
    arguments 42 lines
  • get_proof reads auth-required 8d ago

    [RECEIPTS] The full public forward-return proof board — richer than get_performance: per-signal-type measured post-signal performance with the proven-gate `tradeable` badges, plus the SWING boards. Args: asset_class (stock|index|metal|commodity — same as get_asset_class_proof) OR horizon ('7d'|'14d'|'30d' for the swing-horizon boards, measurement-only, never badged tradeable). Omit both for the default 24h crypto board. Same data as REST /proof and n0brains.com/proof. Measured, not advice.

    mcp-tool

    {
  "type": "object",
  "title": "get_proofArguments",
  "properties": {
    "horizon": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Horizon",
      "default": null
    },
    "asset_class": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Asset Class",
      "default": null
    }
  }
}
    arguments 30 lines
  • get_check_history reads auth-required 8d ago

    [RECEIPTS — your own] Your past check_trade assessments WITH resolved outcomes: each row is the trade as you submitted it, the grade it got, and (once the horizon passed) the side-adjusted result with stop-touch honored. This is your personal calibration on the CHECKS you asked for (the journal covers trades you actually took). Free tier also gets free_checks_remaining_today. Mirrors REST /checks/history (last 50). Analytical, not advice.

    mcp-tool

    {
  "type": "object",
  "title": "get_check_historyArguments",
  "properties": {}
}
    arguments 5 lines
  • get_market_brief reads auth-required 8d ago

    [START HERE — market overview] One-call morning brief: market regime (risk appetite), liquidity read, high-impact events next 72h, the engine's actionable reads (has_trade_signal + reads[]), and cross-asset trade-plan ranking — compact projections of get_market_regime / get_liquidity_map / get_economic_calendar / get_actionable_signals / rank_trades, assembled server-side. Optional coin arg scopes the actionable reads to that coin and adds it to the ranked set (ranking stays setup_score-sorted). Drill into any block with the underlying tool. Descriptive + engine verdicts; uncalibrated blocks labeled; not financial advice.

    mcp-tool

    {
  "type": "object",
  "title": "get_market_briefArguments",
  "properties": {
    "coin": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Coin",
      "default": null
    }
  }
}
    arguments 18 lines
  • get_prices reads auth-required never probed

    [TRUTH ANCHOR] Batch canonical prices for several coins in one call. coins = comma-separated symbols, e.g. 'BTC,ETH,SOL' (max 50). Returns {prices:{SYM:price}, missing:[...], source, age_secs}.

    mcp-tool

    {
  "type": "object",
  "title": "get_pricesArguments",
  "required": [
    "coins"
  ],
  "properties": {
    "coins": {
      "type": "string",
      "title": "Coins"
    }
  }
}
    arguments 13 lines
  • get_correlation reads auth-required never probed

    [DRILL-DOWN] Return-correlation + beta of a coin to BTC and ETH over a 7d window of 15m log returns, plus its most/least correlated peers. Descriptive statistic (correlation is not causation). Same data as REST /correlation/{coin}.

    mcp-tool

    {
  "type": "object",
  "title": "get_correlationArguments",
  "required": [
    "coin"
  ],
  "properties": {
    "coin": {
      "type": "string",
      "title": "Coin"
    }
  }
}
    arguments 13 lines
  • get_signal reads auth-required never probed

    [RAW FEED — detail] Fetch a single signal by ID with full enrichment (historical_edge, paired_inverse, latency, priced_in fields). Returns 404 semantics via tool error if signal not found.

    mcp-tool

    {
  "type": "object",
  "title": "get_signalArguments",
  "required": [
    "id"
  ],
  "properties": {
    "id": {
      "type": "integer",
      "title": "Id"
    }
  }
}
    arguments 13 lines
  • get_signals_since reads auth-required never probed

    [MONITORING] Polling alternative to the /stream WebSocket. Walks the signal stream in emission order (timestamp, id) from a cursor: pass `since_timestamp` (unix epoch seconds) and, to resume exactly, the `since_id` from the previous call's `cursor_id` (or parse `next_cursor` = 'timestamp:id'). Returns every signal emitted after the cursor — including ones that have since expired (see `status`) — up to `limit` (1-100, default 100), oldest first, with `has_more`. Keep calling while `has_more` is true. Free tier sees the standard delay; nothing is skipped, it arrives once the delay elapses. `server_timestamp` is still returned but is NOT a safe cursor (it moved past signals the page could not hold) — use next_cursor / cursor_timestamp + cursor_id.

    mcp-tool

    {
  "type": "object",
  "title": "get_signals_sinceArguments",
  "required": [
    "since_timestamp"
  ],
  "properties": {
    "asset": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Asset",
      "default": null
    },
    "limit": {
      "type": "integer",
      "title": "Limit",
      "default": 100
    },
    "since_id": {
      "type": "integer",
      "title": "Since Id",
      "default": 0
    },
    "signal_type": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Signal Type",
      "default": null
    },
    "since_timestamp": {
      "type": "integer",
      "title": "Since Timestamp"
    }
  }
}
    arguments 47 lines
  • find_similar_signals reads auth-required never probed

    [DRILL-DOWN — history rhymes] Semantic similarity search across the signal corpus: give a coin and/or a free-text query (q), get the k most similar past signals ranked by embedding cosine similarity — 'have we seen this setup before and what did it look like'. k = 1-20 (default 5). Provide at least one of coin / q. Mirrors REST /signals/similar. Pro. Analytical, not advice.

    mcp-tool

    {
  "type": "object",
  "title": "find_similar_signalsArguments",
  "properties": {
    "k": {
      "type": "integer",
      "title": "K",
      "default": 5
    },
    "q": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Q",
      "default": null
    },
    "coin": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Coin",
      "default": null
    }
  }
}
    arguments 35 lines
  • get_levels reads auth-required never probed

    [DRILL-DOWN] Support/resistance levels for a coin (e.g. 'BTC', 'ETH', 'SOL'). Reads from levels_engine + Hyperliquid mids. Levels are detected on THREE timeframes — 15m (3 days back), 4h (90 days) and 1d (2 years) — and every level carries its `timeframe`, `distance_pct` and zone band. `nearest_resistance`/`nearest_support` are the immediate intraday levels (within ~5% of spot) and are often fractions of a percent away; for swing structure read `structure.resistance` / `structure.support`, which are the 4h/1d levels out to 35% from spot, strongest first. A level merged across tiers lists the confirming timeframes in `confirmed_by`. Same data as REST /levels/{coin}.

    mcp-tool

    {
  "type": "object",
  "title": "get_levelsArguments",
  "required": [
    "coin"
  ],
  "properties": {
    "coin": {
      "type": "string",
      "title": "Coin"
    }
  }
}
    arguments 13 lines
  • get_actionable_signals auth-required never probed

    [START HERE — 'find me a trade'] Signals the production trade-gate itself marked actionable (action_hint=trade_signal — the engine's per-(type,direction) proven verdict), age ≤ max_age_min. Skips anti-predictive cells. Also returns swing_outlooks: labeled days-scale reads from cells proven at 7-30d horizons, each with its proven horizon and a suggested hold — NOT intraday trades. Pass min_score / min_confidence only if you want additional numeric bars on top of the engine verdict. When the result is empty, the `context` block points to rank_trades / get_trade_plan — a signal-gate miss does not mean no setup exists (positioning/levels setups aren't signal-driven). ALWAYS check `has_trade_signal` (true only when a real intraday trade cleared the gate) and render `reads` — a single array that is NEVER empty when any read exists: it holds the gate-passed trade signals, or, when none cleared, the strongest context read + swing outlooks, each tagged `kind` and `actionable`. `signals` stays strictly gate-passed; items in `reads` with actionable=false are NOT trades. Next: grade any candidate with check_trade; rank_trades when nothing cleared the gate.

    mcp-tool

    {
  "type": "object",
  "title": "get_actionable_signalsArguments",
  "properties": {
    "asset": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Asset",
      "default": null
    },
    "min_score": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Min Score",
      "default": null
    },
    "max_age_min": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Max Age Min",
      "default": 60
    },
    "signal_type": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Signal Type",
      "default": null
    },
    "min_confidence": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Min Confidence",
      "default": null
    }
  }
}
    arguments 66 lines
  • get_usage reads auth-required never probed

    [META] Your own API usage: total calls, per-day series and top endpoints over period '7d' or '30d'. Use it to budget calls — free tier check_trade is 3/day (get_check_history shows the remaining count). Mirrors REST /usage. Private to your account.

    mcp-tool

    {
  "type": "object",
  "title": "get_usageArguments",
  "properties": {
    "period": {
      "type": "string",
      "title": "Period",
      "default": "7d"
    }
  }
}
    arguments 11 lines
  • get_liquidation_map auth-required never probed

    [DRILL-DOWN] Liquidation map for a coin (e.g. 'BTC', 'ETH'), binned into price clusters — the same feed that powers positioning's liq_magnet and market_state's target/invalidation. Shows long/short imbalance per zone (long_usd vs short_usd per bucket), nearest dense cluster below and above price, and top zones by notional. PROVENANCE VARIES BY COIN — always read the returned `observed` / `modeled` / `method` fields before describing the data. BTC, ETH and HIP-3 tokenized stocks/metals/indices have a DEX book, so their maps are OBSERVED per-position liquidation prices (Hyperliquid + GMX). Coins with no DEX book (XRP, SOL, DOGE, most alts) return a MODELED estimate built from aggregate CEX open interest and calibrated leverage tiers — real zones, but an estimate, and its long/short totals are symmetric by construction. Same data as REST /liqmap/{coin}.

    mcp-tool

    {
  "type": "object",
  "title": "get_liquidation_mapArguments",
  "required": [
    "coin"
  ],
  "properties": {
    "coin": {
      "type": "string",
      "title": "Coin"
    }
  }
}
    arguments 13 lines
  • get_state reads auth-required never probed

    [START HERE — coin snapshot] Unified whole-system snapshot for one coin: current price, per-coin market-state consensus (proven-voter directional read), nearest support/resistance levels, liq-map target/invalidation, and the shared macro regime (deterministic FRED composite anchor + LLM read + any divergence). One call instead of stitching get_macro + get_market_state + get_levels. Drill down only if needed: get_positioning (who is crowded), get_indicators (momentum+Fib), get_liquidation_map (magnets), get_options (vol). Pro tier. Measured + AI data, not advice.

    mcp-tool

    {
  "type": "object",
  "title": "get_stateArguments",
  "properties": {
    "coin": {
      "type": "string",
      "title": "Coin",
      "default": "BTC"
    }
  }
}
    arguments 11 lines
  • get_state_brief auth-required never probed

    [DRILL-DOWN — prose brief] LLM-written 'state of <coin>' in markdown: joins the headline consensus, macro composite, levels, technical indicators and flow context into one readable analysis you can quote to a user directly (the narrative layer over get_state; the structured payload rides along in `data`). Cached 15 min server-side. Mirrors REST /state/{coin}/brief. Pro. AI-generated synthesis, not advice.

    mcp-tool

    {
  "type": "object",
  "title": "get_state_briefArguments",
  "properties": {
    "coin": {
      "type": "string",
      "title": "Coin",
      "default": "BTC"
    }
  }
}
    arguments 11 lines
  • get_indicators reads auth-required never probed

    [DRILL-DOWN] Technical indicators for a coin (e.g. 'BTC', 'ETH', 'SOL', 'XRP'): RSI(14), MACD, SMA/EMA (20/50/200 + 200-week), Stochastic, and FIBONACCI retracement levels (90-day swing). Returns daily + weekly timeframes plus a plain-language read. Same data as REST /indicators/{coin}. Use for momentum + Fib confluence with get_levels.

    mcp-tool

    {
  "type": "object",
  "title": "get_indicatorsArguments",
  "required": [
    "coin"
  ],
  "properties": {
    "coin": {
      "type": "string",
      "title": "Coin"
    }
  }
}
    arguments 13 lines
  • get_trade_plan reads auth-required never probed

    [STEP 2 — plan one coin] Assembled trade plan for one coin: direction, entry, strongest target, stop, risk/reward, sizing hint, options context (put/call + skew), and warnings (max-pain timing against the trade, entry near a liq cluster). Mirrors GET /plan/{coin}. Analytical, not advice.

    mcp-tool

    {
  "type": "object",
  "title": "get_trade_planArguments",
  "required": [
    "coin"
  ],
  "properties": {
    "coin": {
      "type": "string",
      "title": "Coin"
    }
  }
}
    arguments 13 lines
  • get_cross_asset_flows reads auth-required never probed

    [CONTEXT] Cross-asset flows: crypto rotation, crypto-vs-tradfi OI split, institutional posture (ETF flow / COT / 13F, descriptive). Answers 'where are funds going and is the market buying something other than crypto?'. Mirrors REST /flows. ETF flow is proven non-predictive. Not advice.

    mcp-tool

    {
  "type": "object",
  "title": "get_cross_asset_flowsArguments",
  "properties": {}
}
    arguments 5 lines
  • get_asset_class_proof reads auth-required never probed

    [RECEIPTS] Per-non-crypto-asset-class forward-return scoreboard (asset_class = stock | index | metal | commodity). Measured on that class's own rows + baseline (stock excess vs SP500; index/metal/commodity absolute). Intel-only: the tradeable badge is informational, non-crypto is not auto-traded yet. status=accruing until a (type,direction) reaches the min sample. Same data as REST /proof?asset_class=. For the crypto board use get_performance or REST /proof. Not financial advice.

    mcp-tool

    {
  "type": "object",
  "title": "get_asset_class_proofArguments",
  "required": [
    "asset_class"
  ],
  "properties": {
    "asset_class": {
      "type": "string",
      "title": "Asset Class"
    }
  }
}
    arguments 13 lines
  • get_checkable_assets auth-required never probed

    [META] The asset universe check_trade / get_trade_plan / get_levels can price: Hyperliquid perp coins + tokenized HIP-3 stocks/metals/indices. Call once instead of discovering support by error. Contract: count === len(assets); `degraded: true` means the list is INCOMPLETE/STALE — do not treat it as the universe, do not cache it, retry later; no `degraded` key means healthy. Mirrors REST /check/assets (shared cache).

    mcp-tool

    {
  "type": "object",
  "title": "get_checkable_assetsArguments",
  "properties": {}
}
    arguments 5 lines
  • log_trade changes data auth-required never probed

    [JOURNAL] Log a REAL trade entry into your private n0brains journal the moment it fills. Give asset + side (long/short); optionally entry (defaults to live price), stop, target, size_usd, leverage, thesis (why you took it). n0brains snapshots full entry conditions automatically (grade, flags, positioning, regime — an internal check_trade) so nothing needs hand-transcribing. HISTORICAL backfill: pass opened_at (epoch seconds of the real fill) + explicit entry; the entry grade is then taken from YOUR check_trade nearest the fill (±6h, same asset+side) — the read you actually got at the time, never re-graded on today's tape; no matched check = ungraded. Close with close_trade; read back with get_journal. Returns trade_id + the entry assessment. Journal is private to your account. Pro.

    mcp-tool

    {
  "type": "object",
  "title": "log_tradeArguments",
  "required": [
    "asset",
    "side"
  ],
  "properties": {
    "side": {
      "type": "string",
      "title": "Side"
    },
    "stop": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Stop",
      "default": null
    },
    "asset": {
      "type": "string",
      "title": "Asset"
    },
    "entry": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Entry",
      "default": null
    },
    "target": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Target",
      "default": null
    },
    "thesis": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Thesis",
      "default": null
    },
    "leverage": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Leverage",
      "default": null
    },
    "size_usd": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Size Usd",
      "default": null
    },
    "opened_at": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Opened At",
      "default": null
    }
  }
}
    arguments 102 lines
  • close_trade changes data auth-required never probed

    [JOURNAL] Close a journal trade by trade_id (from log_trade or get_journal). Optionally exit_price (defaults to live price) and note (exit reasoning). n0brains resolves the outcome from real candles over the held window: return %, R multiple vs your initial stop, MAE/MFE (worst drawdown / best unrealized gain while open), and whether your stop or target level actually traded. HISTORICAL backfill: pass closed_at (epoch seconds of the real exit) + explicit exit_price. Pro.

    mcp-tool

    {
  "type": "object",
  "title": "close_tradeArguments",
  "required": [
    "trade_id"
  ],
  "properties": {
    "note": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Note",
      "default": null
    },
    "trade_id": {
      "type": "integer",
      "title": "Trade Id"
    },
    "closed_at": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Closed At",
      "default": null
    },
    "exit_price": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Exit Price",
      "default": null
    }
  }
}
    arguments 49 lines
  • amend_trade changes data auth-required never probed

    [JOURNAL] Amend an OPEN journal trade by trade_id: move your stop or target, fix size_usd / leverage / thesis. A stop MOVE changes only the current stop (what the watchdog and close-time touch scan use); realized R stays measured against your INITIAL stop, so trailing to breakeven can't inflate R. To fix a genuine fat-finger in the original entry or stop, also pass correct_entry=true — that resets the R basis (disclosed in the response). asset/side can't be amended — void and re-log for that. Pro.

    mcp-tool

    {
  "type": "object",
  "title": "amend_tradeArguments",
  "required": [
    "trade_id"
  ],
  "properties": {
    "stop": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Stop",
      "default": null
    },
    "entry": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Entry",
      "default": null
    },
    "target": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Target",
      "default": null
    },
    "thesis": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Thesis",
      "default": null
    },
    "leverage": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Leverage",
      "default": null
    },
    "size_usd": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Size Usd",
      "default": null
    },
    "trade_id": {
      "type": "integer",
      "title": "Trade Id"
    },
    "correct_entry": {
      "type": "boolean",
      "title": "Correct Entry",
      "default": false
    }
  }
}
    arguments 90 lines
  • void_trade auth-required never probed

    [JOURNAL] Void a mis-logged journal trade by trade_id (wrong asset, duplicate, fat-finger) with an optional reason. Soft-delete: the trade is removed from your stats and the default journal view but retained and recoverable (get_journal status='void' lists voided trades). Voiding a CLOSED trade removes its outcome from your calibration — disclosed in the response. Use this for entries that never should have existed; use close_trade for real trades that ended. Pro.

    mcp-tool

    {
  "type": "object",
  "title": "void_tradeArguments",
  "required": [
    "trade_id"
  ],
  "properties": {
    "reason": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Reason",
      "default": null
    },
    "trade_id": {
      "type": "integer",
      "title": "Trade Id"
    }
  }
}
    arguments 25 lines
  • get_playbook reads auth-required never probed

    [READ FIRST] The routing guide for every n0brains tool: which tool answers which intent (find a trade / vet a trade / coin snapshot / market brief / monitoring) and how to interpret the honesty fields (action_hint, historical_edge, n_eff, calibration). Call this once if you are unsure which tool to use — it replaces trial-and-error over the 40-tool catalog. Static text, no market data, free tier.

    mcp-tool

    {
  "type": "object",
  "title": "get_playbookArguments",
  "properties": {}
}
    arguments 5 lines
  • get_macro_aligned_signals auth-required never probed

    [CONTEXT] Active signals whose direction AGREES with the current macro bias (conviction ≥ 0.6). Uses the same rule the internal pipeline uses to boost confidence x1.12 (vs CONFLICTS, which dampens x0.88). macro and macro_pulse signal types are excluded (they ARE the macro). Optional asset filter.

    mcp-tool

    {
  "type": "object",
  "title": "get_macro_aligned_signalsArguments",
  "properties": {
    "asset": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Asset",
      "default": null
    },
    "limit": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Limit",
      "default": 50
    }
  }
}
    arguments 30 lines
  • check_trade reads auth-required never probed

    [START HERE — 'vet my trade'] Ask n0brains First: graded pre-trade conditions assessment for a proposed trade. Give asset + side (long/short); optionally entry, stop, target, leverage, horizon_hours (default 24). Returns grade A..F with flags (positioning crowding, scheduled event risk inside the horizon, liquidation distance vs realized daily volatility, stop inside noise range, proven-edge conflicts, late entry), supporting factors, and falsifiers to watch. Grades are logged and resolved at horizon; cross-grade performance stays withheld until the deployed weekly truth gate clears. Pair with get_positioning (who is crowded) + get_event_outlook (scheduled risk inside the horizon) for the full vet. Analytical, not advice.

    mcp-tool

    {
  "type": "object",
  "title": "check_tradeArguments",
  "required": [
    "asset",
    "side"
  ],
  "properties": {
    "side": {
      "type": "string",
      "title": "Side"
    },
    "stop": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Stop",
      "default": null
    },
    "asset": {
      "type": "string",
      "title": "Asset"
    },
    "entry": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Entry",
      "default": null
    },
    "target": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Target",
      "default": null
    },
    "leverage": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Leverage",
      "default": null
    },
    "horizon_hours": {
      "type": "integer",
      "title": "Horizon Hours",
      "default": 24
    }
  }
}
    arguments 71 lines
  • get_mindshare_coin reads auth-required never probed

    [DRILL-DOWN] One coin's mindshare: its attention share %, rank, and velocity vs the prior window (rising/falling/stable/emerging). Same data as REST /mindshare/{coin}.

    mcp-tool

    {
  "type": "object",
  "title": "get_mindshare_coinArguments",
  "required": [
    "coin"
  ],
  "properties": {
    "coin": {
      "type": "string",
      "title": "Coin"
    }
  }
}
    arguments 13 lines
  • get_mindshare reads auth-required 8d ago

    [DRILL-DOWN] Mindshare leaderboard: each asset's share of crypto attention across n0brains' sources over the window, ranked, with velocity (rising / falling / emerging). The edge is a coin's attention ACCELERATING before price moves. Directional proxy over n0brains sources, NOT a market-wide social-firehose absolute. Same data as REST /mindshare.

    mcp-tool

    {
  "type": "object",
  "title": "get_mindshareArguments",
  "properties": {}
}
    arguments 5 lines
  • get_liquidity_map reads auth-required 8d ago

    [CONTEXT] Net cross-asset liquidity map: Fed net liquidity, stablecoin dry-powder, total perp OI, liquidation pressure, net taker flow. Answers 'where is liquidity?'. Mirrors REST /liquidity. Descriptive, not advice.

    mcp-tool

    {
  "type": "object",
  "title": "get_liquidity_mapArguments",
  "properties": {}
}
    arguments 5 lines
  • get_market_analogs reads auth-required 8d ago

    [CONTEXT] Nearest historical market-state analogs to right now: k-NN over the cross-asset state (SPX/NDX momentum, VIX level + term structure, DXY, yield curve) with what SPX/NDX/BTC actually did over the following 1d/5d (median, quartiles, hit-rate) per analog and in aggregate. k = 3-25 (default 12), episode-separated. Same data as REST /analogs. Conditioning context, NOT a prediction.

    mcp-tool

    {
  "type": "object",
  "title": "get_market_analogsArguments",
  "properties": {
    "k": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "K",
      "default": 12
    }
  }
}
    arguments 18 lines
  • get_macro reads auth-required 8d ago

    [CONTEXT] Current macro bias (regime, BTC/ETH bias + conviction, calendar risks). Mirrors REST /macro current snapshot. Honesty overlay applied: fields marked uncalibrated, insufficient-data flags surfaced.

    mcp-tool

    {
  "type": "object",
  "title": "get_macroArguments",
  "properties": {}
}
    arguments 5 lines
  • get_performance reads auth-required 8d ago

    [RECEIPTS] Backtest performance over last N days (1-365, default 30). Same data as REST /performance. Note: no asset filter — performance is aggregated across all assets. Performance is the live forward-return record by signal type. DENOMINATOR CONTRACT — every block (overall, by_signal_type, by_coin, by_source) carries total/wins/partials/losses/expired/settled/win_rate. `total` counts signals emitted, settled or NOT: most expire unsettled, so wins/total is not a win rate and ranks lanes backwards. `win` = full take-profit only; a partial is not a loss. Rank on win_rate (wins/settled) or avg_pnl. `win_rate` is null when settled=0 — that is 'not yet measurable', NOT zero. For the gated per-type verdict with confidence intervals and the tradeable badge, use get_proof instead.

    mcp-tool

    {
  "type": "object",
  "title": "get_performanceArguments",
  "properties": {
    "days": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Days",
      "default": 30
    }
  }
}
    arguments 18 lines
  • get_anti_predictive_cells reads auth-required 8d ago

    [RECEIPTS] Cells from cell_stats.json with inverse_flagged=true. These are (signal_type × direction × regime) buckets where the empirical win-rate is below the inverse_thresholds floor with sufficient sample. Signals in these cells get calibration_inverted_in_cell=true and have confidence nulled in customer-facing serialization.

    mcp-tool

    {
  "type": "object",
  "title": "get_anti_predictive_cellsArguments",
  "properties": {}
}
    arguments 5 lines
  • get_rotation reads auth-required 8d ago

    [CONTEXT] Altseason/rotation read: is capital rotating INTO alts (altseason) or back to BTC (risk-off)? rotation_score in [-1,1] from relative-strength breadth + correlation trend. Breadth is a PROXY, not true BTC dominance. Uncalibrated heuristic. Same data as REST /rotation.

    mcp-tool

    {
  "type": "object",
  "title": "get_rotationArguments",
  "properties": {}
}
    arguments 5 lines
  • get_market_regime reads auth-required 8d ago

    [CONTEXT — market overview] Market-wide risk-appetite read: risk-on / risk-off / squeeze from a blend of the macro composite, cross-sectional breadth, funding regime and vol. Answers 'do conditions favor risk right now?'. Mirrors REST /regime. Descriptive, uncalibrated, not financial advice. One-call morning brief incl. this block: get_market_brief.

    mcp-tool

    {
  "type": "object",
  "title": "get_market_regimeArguments",
  "properties": {}
}
    arguments 5 lines
  • get_event_outlook reads auth-required 8d ago

    [TIMING] Upcoming scheduled macro releases + earnings joined with each event's MEASURED historical reaction distribution (event-study library, grouped by surprise sign): 'CPI prints Thursday — the last N hot prints moved SPX/BTC X%'. history=null until a cell accrues (the library earns its conditionals, it never manufactures them). Same data as REST /event-outlook. Not a direction call.

    mcp-tool

    {
  "type": "object",
  "title": "get_event_outlookArguments",
  "properties": {
    "days_ahead": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Days Ahead",
      "default": 14
    }
  }
}
    arguments 18 lines
  • get_journal reads auth-required 8d ago

    [JOURNAL] Read your private trade journal. status=open|closed|void|all (default all shows open+closed; void is hidden unless asked), limit for history (default 20). Open trades include live unrealized PnL/R and a warning if your stop level has traded since entry. Closed trades include resolved outcomes (ret %, R, MAE/MFE). stats block = personal calibration: win rate and realized R per n0brains entry grade — where your entries were actually good. Pro.

    mcp-tool

    {
  "type": "object",
  "title": "get_journalArguments",
  "properties": {
    "limit": {
      "type": "integer",
      "title": "Limit",
      "default": 20
    },
    "status": {
      "type": "string",
      "title": "Status",
      "default": "all"
    }
  }
}
    arguments 16 lines
  • get_manipulation reads auth-required never probed

    [FORENSICS] Manipulation-risk analysis for one asset: composite manipulation score, coordinated-pump probability, fake-engagement risk, liquidation-cascade detection. Richer than the per-signal manipulation_score field — this is the full standalone read. Mirrors REST /manipulation/{coin}. Analytical, not advice.

    mcp-tool

    {
  "type": "object",
  "title": "get_manipulationArguments",
  "required": [
    "coin"
  ],
  "properties": {
    "coin": {
      "type": "string",
      "title": "Coin"
    }
  }
}
    arguments 13 lines
  • get_price auth-required never probed

    [TRUTH ANCHOR] THE canonical current price (live exchange mid) for a coin — the single source of truth every other n0brains tool's spot/current_price should agree with. Returns {coin, price, source, age_secs, ts}. Use this to sanity-check any analytic payload: if a tool's spot disagrees materially with this, that tool's price is stale and its read should be discounted. Free tier. Public data, not financial advice.

    mcp-tool

    {
  "type": "object",
  "title": "get_priceArguments",
  "required": [
    "coin"
  ],
  "properties": {
    "coin": {
      "type": "string",
      "title": "Coin"
    }
  }
}
    arguments 13 lines
  • list_signals reads auth-required never probed

    [RAW FEED — engine inputs, NOT trade calls] List active n0brains signals with optional filters. Filters: asset (e.g. 'ETH'), signal_type (whale|sentiment|listing|regulatory|macro|macro_pulse|liquidation|funding|hack|price|other), direction (bullish|bearish|neutral), urgency (high|medium|low), min_confidence, min_score, limit (1-100, default 20), offset. Each signal includes historical_edge, paired_inverse, signal_latency_secs, priced_in_*, calibration_inverted_in_cell. CONFIDENCE CONTRACT: confidence = calibrated empirical win-probability estimate (binned per signal_type), NOT raw model output; when confidence is null, confidence_v2 + outcome_record (2026-09-02) = this asset x type x direction x context's measured 24h outcome record with a day-clustered interval, peer rank and `distinguishable` — quote it only with its n/days/ci95; confidence_suppressed_reason says why; confidence_status is one of calibrated|floor_demoted_at_emit|suppressed_anti_predictive|demoted_anti_predictive_type. Transform emitters (whale_position leaderboard fade) carry observed_direction/observed_behavior/model_transform/predicted_direction so the raw observation is never lost. Most rows carry action_hint=ignore — engine inputs, not calls; read historical_edge (cell win_rate) before echoing any direction. For tradeable output use get_actionable_signals.

    mcp-tool

    {
  "type": "object",
  "title": "list_signalsArguments",
  "properties": {
    "asset": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Asset",
      "default": null
    },
    "limit": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Limit",
      "default": 20
    },
    "offset": {
      "type": "integer",
      "title": "Offset",
      "default": 0
    },
    "urgency": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Urgency",
      "default": null
    },
    "direction": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Direction",
      "default": null
    },
    "min_score": {
      "type": "number",
      "title": "Min Score",
      "default": 0
    },
    "signal_type": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Signal Type",
      "default": null
    },
    "min_confidence": {
      "type": "number",
      "title": "Min Confidence",
      "default": 0
    }
  }
}
    arguments 81 lines
  • get_signal_with_context reads auth-required never probed

    [RAW FEED — detail+context] Composite call: signal + same-asset S/R levels + active macro bias. Saves 2-3 round trips. Returns a dict (not a typed model — the composite shape varies).

    mcp-tool

    {
  "type": "object",
  "title": "get_signal_with_contextArguments",
  "required": [
    "id"
  ],
  "properties": {
    "id": {
      "type": "integer",
      "title": "Id"
    }
  }
}
    arguments 13 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/fb718de4e8a37042/badge.svg)](https://brick.blue/agent/fb718de4e8a37042)

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.