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460,219 tools. Updated 2026-08-17 17:52

"Detecting Patterns and Conformations in Trading Charts" matching MCP tools:

  • Get recent ENS marketplace activity — sales, new listings, offers, mints, transfers, renewals, and burns. Filter by event type. Returns event details including name, price (in ETH), buyer/seller addresses, and timestamp. Sorted by most recent first. This is raw activity only — it makes NO wash-trading / authenticity judgment; for "is this wash trading / fake volume?" use wash_check.
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  • Apple Books chart, read from Apple's RSS Marketing Tools feed — the top-free (default) or top-paid ebooks in one storefront country, up to 100 entries. Each entry returns the book title, author, Apple id, genres, release date, artwork URL and Apple Books link. Answers which ebooks are topping the Apple Books charts today.
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  • Fetches the current Bitcoin price in USD with 24h change, high, low, and volume. Source: Binance with CoinCap fallback. Cache TTL 15s. No auth required. Use for crypto trading decisions or when the agent needs a fresh BTC quote.
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  • Which market SECTORS politicians have been trading in over a trailing window. Aggregates congressional + executive trades by sector and returns, per sector: trade count, total dollar volume, number of distinct politicians, and the top tickers. Use it to see where political trading activity is concentrating (e.g. "politicians piled into Energy this month"). Sort by count or dollar volume.
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  • Call this first. Returns how to use Précis over this connector: the data model (scenarios, metrics, statements, dimensions), the reporting-tool variants, and how to build charts. Read it before composing queries.
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  • Poll a scan opened by zecmon_scan. Returns phase, progress and the notes found SO FAR — notes accumulate during the scan, so you can read them before it finishes. During "detecting-birthday" the response carries the descending backwards window; during "scanning" it carries birthday → tip coverage. Poll no faster than every 1.5s. Free.
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Matching MCP Servers

Matching MCP Connectors

  • Energy-Charts (Fraunhofer ISE) MCP — European electricity generation, prices, and capacity.

  • Create, inspect, manage, and render charts and data visualizations as SVG/PNG or interactive embeds.

  • AI Agent Tokenized Stock OS: list canonical tokenized stocks (Robinhood Stock Tokens), ETFs, USDG, and WETH on Robinhood Chain ID 4663. Use for AI agents trading tokenized equities/RWAs. Do NOT use for US brokerage equities (use Robinhood Trading MCP). Only registry addresses are real tokenized stocks.
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  • Detect wash trading and fake volume in OHLCV candle data. Send known-legitimate candles as training and suspect candles as test. Detects artificial volume spikes, suspiciously regular patterns, and manipulated price-volume relationships. Example: Send 100 candles from a liquid pair as baseline, test candles from a suspicious pair.
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  • Apex Equity Intelligence — single-call omnibus brief for 'what do you think about $TICKER'. Fuses 12 vendor calls in parallel (daily + hourly charts, company facts, income/balance statements, snapshot, insider, congress, lobbying, gov-contracts, WSB, patents, off-exchange). Returns: 'fundamentals' (12 scalar fields — name, sector, market_cap, last_price, day_change_pct, latest_revenue, latest_net_income, latest_eps, total_assets/liabilities/equity, filing_date), 'intel' (8 scalar fields — insider/congress 30d buy-sell counts, ttm_lobbying_usd, ttm_gov_contract_usd, wsb_7d_mentions+sentiment, patent_filings_recent, avg_dark_pool_pct_30d), 'flags' (notable patterns: insider_cluster_buy/sell, elevated_dark_pool, retail_attention_spike, etc.), 'chart' (primary daily 120-bar candlestick PNG with RSI/MACD/BB indicators, palette-quantized to keep the tool result under 32KB), and 'charts' (a list of ADDITIONAL charts beyond the primary — currently just the hourly intraday chart; do NOT expect the daily here, it's only in 'chart'). 'components' carries raw counts of items behind each digest. 'vendor_errors' is non-empty when one of the parallel fetches failed; the rest of the payload is still usable. For full per-section detail (complete insider trade list, full income statements, etc.) call the dedicated tools tengu_v3_fundamentals_*/tengu_v3_intel_* — apex_equity is the digest, not the firehose.
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  • List or search charts in a Helm repository. Provide a repository_url, then optionally filter by keyword (e.g. keyword='postgres'). Note: OCI registries (oci://) do not support browsing — for OCI you must already know the chart name, then call get_versions or get_values directly with that name.
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  • Detect prompt injection in text. Analyzes across 4 categories (direct injection, encoding tricks, exfiltration, indirect injection) with 200+ detection patterns. Designed for real-time inline usage before processing untrusted user input. Returns boolean verdict, confidence score (0-1), matched patterns with evidence, and decoded content if encoding obfuscation was detected. Response time <100ms p95.
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  • Open subscription options when a user needs to unlock MCP app visuals, charts, and advanced analytical tools. Returns a direct checkout path.
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  • Return metadata for all crypto exchanges tracked by CryptoCompare: name, country, grade, trading pairs, fee, and website URL.
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  • Use this when the user wants to find charts in their saved library. Returns paginated metadata and URLs, not chart configs; requires authentication. Draft-only editor charts have publishedAt null, hasDraft true, and sizeBytes 0 because sizeBytes measures only the stored published config, not draft storage.
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  • Use this when the user wants to find charts in their saved library. Returns paginated metadata and URLs, not chart configs; requires authentication. Draft-only editor charts have publishedAt null, hasDraft true, and sizeBytes 0 because sizeBytes measures only the stored published config, not draft storage.
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  • Resolve a natural-language trading-card description into structured fields (player/athlete, year, set, card number, parallel, grader, grade, sport/category). Use this first when a user names a card in prose and you need its canonical fields before looking up sales or market value. Returns a confidence level and which fields were resolved. This does NOT price the card or return sales — use search_card_sales or summarize_card_market for that. Trading cards only.
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  • $0.09 via x402: total supply, holder count, decimals, and live USD price / market cap for any ERC-20/721 token contract, across Base, Ethereum, Optimism, Arbitrum, Polygon, Gnosis. The supply read trading, valuation and risk agents make to size circulating supply, dilution and holder distribution before pricing or trading a token. Live from Blockscout; one paid call instead of running your own RPC.
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  • Given a goal in plain words, returns a trust-ranked stack of directory resources to build it with — bucketed into slots (framework, wallet, payments, trading, data, MCP tooling, security), each pick carrying its Sato Score, liveness, and deploy-spec status, plus honest gaps where the directory has no strong match. Ranking reflects openness/activity/verifiability — never a safety, quality, or returns judgment. Read-only. Example: { goal: "trading agent on Base with x402 payments", chain: "Base" }
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  • Return the Vimsopaka Bala — each planet's strength based on the dignity (varga / amsa) it occupies across the divisional charts. The result is a list of four entries, one per classical weighting scheme (Shadvarga=6 charts, Sapthavarga=7, Dashavarga=10, Shodashavarga=16). Each entry maps the planets (Sun, Moon, Mars, Mercury, Jupiter, Venus, Saturn, Raagu, Kethu) to a string of the form 'AmsaName\n(vargas)\nscore' — e.g. 'Kimsukaamsa\n(D2/D30)\n9.2' meaning the amsa dignity name, the divisional charts contributing, and the numeric Vimsopaka score (out of 20). Data only — no interpretation is added.
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  • Pre-flight regulatory check. Agent describes an intended action in natural language ("process EU resident biometric data", "transfer health records to a third-party AI vendor", "deploy autonomous trading model in Singapore") and receives a ranked list of regulations that may apply, plus a risk indicator (LOW/MODERATE/HIGH). The primary tool for runtime compliance gating in autonomous agent workflows.
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