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685,669 tools. Updated 2026-10-22 18:23

"How to Trade on E*TRADE" matching MCP tools:

  • Closed positions (one row per round trip) on one or more accounts, with per-account stats: trade count, wins, losses, win rate, net profit after commission and swap, best and worst trade, and a per-symbol breakdown. Defaults to the last 7 days; the window can be up to 366 days. Lists at most 300 trades across all accounts, newest first; the stats always cover the whole window. For positions that are still open, use get_open_positions.
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  • LAUNCH SNAPSHOT of ONE token, or FIRST TRADES of a LIST of up to 50 tokens in one call (`addresses`): the first recorded trade (time, transaction, pool, DEX, first USD price) and what happened in the first `window_seconds` after it — trades, buys and sells, unique traders and buyers, how many wallets traded in the very first block and in the first 10 seconds, buy / sell / total USD, the first price and the price at the end of the window, supply at launch, and for ONE token the top 20 wallets of that window by USD volume. Answers "how did this launch go", "how many snipers were in the first block", "how much was bought in the first minute", "who dumped at launch", "when did each of these tokens first trade, at what price, on which DEX and pool". For a list of tokens pass them all in `addresses`: one call, no loop and no SQL. NOT token_dex_venues — its First_Trade is the first trade inside its time window, not the token's first trade. For the full ranked list of early wallets (sorting, minimum size, windows up to a day) use early_buyers; to find launches use new_tokens, then pass their addresses here; for minute-by-minute activity afterwards use token_trade_bars. Parameter names used elsewhere map as token_address = address, network = blockchain. Works for rare and newly-launched tokens. The first trade is the earliest one Bitquery holds, and trade history reaches back about 30 days (History_Start is its first day; on Arc it starts on 2026-09-16, when Arc trades begin), so for an older token it is a lower bound, not the launch: when Launch_May_Predate_History = 1 the first trade falls on that first day and the real launch may be older — say so instead of calling it the launch. A token that stopped trading and later resumed is also anchored at its first trade inside that history. On Solana, trades within the same second can be recorded out of order, so First_Trade_Time is exact but First_Tx / First_Pool can be another trade of that same second. Window_Complete = 0 means the window has not fully elapsed yet, so the counts are still growing. Columns: Token_Address, Network, First_Trade_Time (first_trade_time), First_Tx (first_tx), First_Pool (first_pool), First_Protocol (first_protocol), Launch_May_Predate_History, History_Start, Window_Seconds (window_seconds), Window_Complete, Supply_At_Launch (supply_at_launch — NULL when unknown), First_Price_Usd, Last_Price_Usd_In_Window, Trades_In_Window (trades_in_window), Buys_In_Window, Sells_In_Window, Unpriced_Trades_In_Window, Unique_Traders_In_Window (unique_traders_in_window), Unique_Buyers_In_Window, Wallets_In_First_Block, Wallets_In_First_10s, Buy_Usd_In_Window (buy_usd_in_window), Sell_Usd_In_Window (sell_usd_in_window), Volume_Usd_In_Window (volume_usd_in_window), Top_Wallets (top_wallets). First_Price_Usd is the first priced trade inside the window. LIST (`addresses`; an `address` given too joins the list): one row per token, in the order given, with the columns above except Top_Wallets, plus Addresses_Requested, Addresses_Invalid and Addresses_Used — the rule is in the `addresses` parameter — and Addresses_Not_Found, the addresses looked up with no trade in the history (or none on the requested chain); [] when every one was found, and when none is found the result is empty. The same window_seconds applies to every token. Top_Wallets holds up to 20 objects: trader, trades, buy_usd, sell_usd, volume_usd, first_time_in_window, first_offset_ms (delay after the token's first trade) and is_first_block. is_first_block = 1 when the wallet's first trade in the window shares the block time of the token's first trade (on chains with several blocks per second this can include the next block); a wallet traded in the first 10 seconds when first_offset_ms < 10000, and Wallets_In_First_10s counts those. trader is the transaction SIGNER on the EVM chains and Solana, often a router or other contract on Tron; a bot's own contract is found through trader_trades and the chain's tx_transfers tool. Wallets that only SOLD inside the window are included — tokens received without a trade and dumped at launch show up here. USD figures value each swap at the lower of its two priced sides; Unpriced_Trades_In_Window counts swaps without a price. Supply_At_Launch and prices are NULL when unknown. An empty result means the address never traded on that chain within the history. Pass `blockchain` whenever it is known (for a list it applies to every address); without it the chain of each token's earliest trade is used and returned as Network.
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  • [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.
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  • [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.
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  • The cost of the currency you were never quoted in. Use for "what does it really cost me to trade $5M of SOL", "which venue is cheapest for a USD fund", "how much am I paying to hold USDT", "should I use a USDC venue instead". THE POINT: every execution cost in this API, and in every competing tool, is denominated in the VENUE'S OWN quote currency. Most perp venues quote USDT. A fund's money is USD. So the quoted cost is for a trade the fund cannot place until it has bought USDT, and the price of that conversion appears in nobody's TCA. This walks the live USD/USDT and USD/USDC books at the caller's size, reports the cheapest round trip and the capacity ceiling, and re-ranks venues on cost INCLUDING the leg. IT DOES NOT TELL YOU WHICH VENUE TO TRADE ON, and you must not present it as if it does. That output existed, was measured across 20 coins x 5 sizes, flipped 0 of 95 times, and was deleted — `leg_does_not_change_venue` in the response carries the numbers. What it tells you is what the trade ACTUALLY costs: quote `leg_as_pct_of_execution_cost`, which is the leg measured against the trade's own execution cost on the venue the desk would really use. THE LEG IS A COST ON CAPITAL MOVED, NOT ON TURNOVER. `turns` is how many times the desk turns the balance over before repatriating to USD. At turns=1 the full round trip is charged; at turns=50 the leg is rounding error and the response will show that. Do not quote the turns=1 figure as a per-trade cost for a desk that trades continuously. `coin` = ticker e.g. 'sol'. `notional_usd` = order size in USD. `side` = 'buy' or 'sell'. Requires an EnsoTrade Pro API key.
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  • Recently DISCLOSED stock trades by members of the US Congress, newest transaction first. Source: House and Senate periodic transaction reports, which may be filed up to 45 days after the trade — the newest disclosure is not the newest trade. Members disclose dollar amounts as ranges, never exact figures.
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Matching MCP Servers

Matching MCP Connectors

  • Money-moving broker trade (may place a real order). Optional instance_id for algo-tracked live instance; omit for on-demand on broker_account_id/default. If mcp_require_confirm, returns pending_confirmation — Confirm in Gogi Activity. Use close_positions to flatten rather than inventing a sell quantity.
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    Destructive
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  • Query China merchandise trade by partner country/region, including all-partner totals using country TOTAL. Inputs: period, country and optional flow. IMPORT and EXPORT are China imports and exports; BOTH is recorded combined trade. Returns recorded trade values and units (currently 1000USD), scope, source_class, provenance, snapshot, pagination and limits. No commodity filter or currency conversion. No match returns an empty data array. Required: period, country. Missing required or invalid input produces an argument error.
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  • Every member of Congress who disclosed trading a ticker: totals, buy/sell split, disclosed volume range, first and last trade dates, the members who traded it most, the 20 most recent disclosed trades with source-filing links, and the one sample scored trade the public page shows. Use it for 'who in Congress trades this stock'. For the full trade history of a ticker, page list_transactions with the same ticker; for stocks several members bought or sold together, use cluster_trades. Returns a not-found error when no member has disclosed a trade in the symbol. Access: no key or account needed. Read-only, cached for up to an hour.
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  • Members of Congress ranked by disclosed trading activity: trade count, disclosed dollar volume (sum of amount-range midpoints), average trade size, or disclosure speed. Optional chamber and party filters. Same data as coldpine.io/leaderboard. Use it for 'who trades the most in Congress' style questions. Each row has the member, chamber, party, state, trade count, disclosed volume, average trade size, average days from trade to disclosure and the member's coldpine.io page; total_members is the count after filters. This ranks activity only. For returns against the S&P 500 use members_vs_market, and for late filing use stock_act_compliance. Access: needs the agent token from a free Coldpine account, sent as 'Authorization: Bearer <token>'; without it the call returns setup steps instead of data. Read-only, cached for up to an hour.
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  • What this server can and cannot do, and how a trade or launch gets signed. Call this if unsure.
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  • Use this to check where Local Pros has listings before searching, or when find_local_pros finds nothing: returns every covered city with how many businesses are listed per trade. Coverage is limited to Oklahoma, Kansas, Nebraska, Iowa and Missouri.
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  • Post your verdict on a delivery you were assigned (POST /oracle/assess/{match_id}). Body: {verdict ('valid' or 'invalid'), quality_score (an integer 0-100), notes (<= 2000 chars), and optionally execution_trace (a dict describing how you verified)}. A quality_score below 40 auto-opens a dispute. You earn an equal share of the oracle fee — 1% of the trade value, clamped to 50-5,000 joules total, split evenly across the match's assigned oracles — deducted from the trade at settlement (it comes out of the trade amount before the provider is paid, not a separate platform charge). Assess within the 48-hour deadline. Requires being the assigned oracle + marketplace:write. ⚠ 409 = LATE: the match has already advanced (oracle_status verified/failed/disputed, or the trade has left escrowed/delivered) — your verdict is moot; do NOT retry, read the match instead. Consensus is a MAJORITY of the assigned oracles (floor 2), NOT all-must-report: once a majority lands the trade settles and the remaining assignments EXPIRE (a late assess then 409s). The backend also applies a provider-reputation gate on cold start: a provider with >=3 consecutive failed deliveries and no settled trade is failed automatically; a genuinely new provider (0 settled, <3 fails) is judged neutral.
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    Destructive
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  • Replay durable public large-trade events strictly after an opaque cursor, in commit order (a page never reaches past the oldest open write transaction, so a late-committing lower id is delivered later instead of skipped). Filters narrow the stream in place and are bound to the cursor: a cursor issued under other filters answers error.reason cursor_expired, so restart without a cursor. expand=trade adds the public trade read to every event, so a page needs no per-event get_whale_trade call. Args: - cursor (string, optional): Opaque event replay cursor - limit (number, 1-100, default 50) - trader (string, optional): wallet address, trd_ id or username - condition_id (string, optional): raw condition_id or mkt_ id - min_grade (string, optional): S, A, B, C, D or F - min_size (number, optional): minimum size in USD - expand (string, optional): "trade" Returns: Event replay window with retention and completeness metadata; each event carries trade when expanded.
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  • Before trading a token on Base, Ethereum or Solana: its USD price and liquidity, plain warnings read from the chain, how big your planned trade is next to the pool (rough price impact), how much your wallet already holds, and recent web results about the token. Facts, not advice. $0.01 USDC per call over x402. Failed calls cost nothing. Call without `payment` to get a quote. When to use: Right before a trade, to see if the size is sane for the pool and what's being said about the token. Use instead: token_check when you aren't trading yet. Parameters: token is required. chain: base (default), ethereum or solana. amount_usd: your planned size, for price impact against pool depth. wallet: your address, to show what you already hold. Returns: price, liquidity, chain warnings, rough price impact for amount_usd, your current holding, and recent web results. Facts, not advice.
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  • Before trading a token on Base, Ethereum or Solana: its USD price and liquidity, plain warnings read from the chain, how big your planned trade is next to the pool (rough price impact), how much your wallet already holds, and recent web results about the token. Facts, not advice. $0.01 USDC per call over x402. Failed calls cost nothing. Call without `payment` to get a quote. When to use: Right before a trade, to see if the size is sane for the pool and what's being said about the token. Use instead: token_check when you aren't trading yet. Parameters: token is required. chain: base (default), ethereum or solana. amount_usd: your planned size, for price impact against pool depth. wallet: your address, to show what you already hold. Returns: price, liquidity, chain warnings, rough price impact for amount_usd, your current holding, and recent web results. Facts, not advice.
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  • Get customs and trade policy events extracted from news intelligence. Covers tariff changes, sanctions, export controls, trade agreements, anti-dumping duties, and regulatory changes. Each event includes affected countries, products, direction (RESTRICTIVE/LIBERALIZING/NEUTRAL/MIXED), US impact assessment, and confidence score. Used by trade compliance teams and procurement managers to track policy risk.
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  • Get customs and trade policy events extracted from news intelligence. Covers tariff changes, sanctions, export controls, trade agreements, anti-dumping duties, and regulatory changes. Each event includes affected countries, products, direction (RESTRICTIVE/LIBERALIZING/NEUTRAL/MIXED), US impact assessment, and confidence score. Used by trade compliance teams and procurement managers to track policy risk.
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  • Returns a 0-100 global trade-openness score (scaled YoY change in World Bank world trade as % of GDP, monthly, since 1958) with openness_score, trade_pct_gdp, and yoy_change. Call when the user asks about globalization, deglobalization, trade expansion or contraction, tariffs, or supply-chain shifts, or when timing rotations between export-dependent sectors (industrials, materials, semiconductors) and domestic defensives on confirmed trade flows, not PMI sentiment surveys. Updates: monthly.
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  • Compara de 2 a 4 imoveis lado a lado a partir dos ids retornados pelas buscas. Monta uma tabela com preco anunciado, area, quartos, vagas, bairro, imobiliaria responsavel e preco por metro quadrado. Util pra visualizar trade-offs objetivos. Nao indica qual e o "melhor" — a decisao e do usuario.
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  • Before swapping on Uniswap V3, check if pools have sufficient liquidity for the intended trade size. Finds all matching pools for a token pair, assesses trade impact relative to pool TVL, and recommends the best pool. Args: api_key: Your PreFlyte API key (required). chain: Chain name — "ethereum" or "arbitrum". token_pair: Token pair separated by "/" — e.g. "WETH/USDC", "WBTC/WETH". trade_size_usd: Intended swap size in USD. Returns: Dictionary with per-pool viability (TVL, trade impact, fee cost), a recommendation, and data freshness.
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