298,669 tools. Last updated 2026-07-14 16:04
"Juniper Networks" matching MCP tools:
- Get comprehensive token screening data across multiple blockchain networks with advanced filtering. A maximum of 25 results are returned out of 1000s of tokens. Use the sorting and filtering options to narrow down the results. A maximum of 5 chains can be specified per request (excess chains are automatically trimmed). This tool helps with token discovery and finding trending tokens by combining different metrics: volume, liquidity, market cap, smart money activity, and token age. **IMPORTANT - Hyperliquid Special Case:** - Hyperliquid chain queries perpetual futures (perps), not spot tokens - When hyperliquid is mixed with other chains, two sections of up to 25 results each are returned - one for spot tokens and one for perps. - For perps, only these filters are supported: volume, buyVolume, sellVolume, openInterest, netflow, nofTraders, traderType - Additional orderBy fields for perps: openInterest, funding - Unsupported filters/orderBy will fallback to defaults INPUT EXAMPLES: # Find tokens which are going up in price. # Added some liquidity filter to remove spam and low quality tokens. ``` { "chains": ["ethereum", "solana", "bnb", "base"], "timeframe": "24h", "liquidity": {"from": 100000}, "nofTraders": {"from": 10}, "orderBy": "price_change", "orderByDirection": "desc" } ``` # Find top stablecoins by market cap ``` { "chains": ["ethereum", "solana", "bnb", "base"], "timeframe": "7d", "sectors": ["Stablecoin"], "orderBy": "market_cap_usd", "orderByDirection": "desc" } ``` # Find AI memecoins with high trading activity { "chains": ["ethereum", "solana", "bnb", "base"], "timeframe": "7d", "sectors": ["AI Meme"], "liquidity": {"from": 100000}, "volume": {"from": 1000000} } # Find DeFi lending tokens { "chains": ["ethereum", "solana", "bnb", "base"], "timeframe": "24h", "sectors": ["DeFi Lending (Money Markets)"], "netflow": {"from": 1000000} } # Find tokens which have a lot of buying activity (high nofBuyers and buyVolume) # Note that we added some filters to remove spam and low quality tokens. We added liquidity filter so that we only surface tokens which we can buy or sell. # We sort by `netflow` descending to get tokens with the most net buying activity. ``` { "chains": ["ethereum", "solana", "bnb", "base"], "timeframe": "24h", "liquidity": {"from": 100000}, "buyVolume": {"from": 1000000}, "marketCapUsd": {"from": 1000000}, "nofBuyers": {"from": 10}, "orderBy": "netflow", "orderByDirection": "desc" } ``` # Find Hyperliquid perps with high open interest and positive net flow ``` { "chains": ["hyperliquid"], "timeframe": "7d", "openInterest": {"from": 100000}, "volume": {"from": 1000000}, "netflow": {"from": 0}, "nofTraders": {"from": 10}, "orderBy": "netflow", "orderByDirection": "desc" } ``` WARNING: To avoid timeouts, it's recommended to: - Use 4 chains or less at a time (API tends to timeout with more chains) - Use shorter timeframes (e.g., 24h or 1h instead of 7d or 30d) Args: Returns: Comprehensive token metrics as markdown. Returns empty string if no tokens found. Columns returned: - **Token Address**: Token address (e.g., 0x1234567890123456789012345678901234567890) - **Symbol**: Token trading symbol (e.g., ETH, BTC, DOGE) - **Chain**: Blockchain network (ethereum, solana, polygon, etc.) - **Price USD**: Current token price in USD (currency formatted) - **Price Change**: Price change percentage over the date range (percentage, can be negative) - **Market Cap**: Current market capitalization (currency formatted) - **Fully Diluted Valuation (FDV)**: Market cap if all tokens were circulating (currency formatted) - **FDV/MC Ratio**: Ratio indicating how much supply is locked/vested (numeric, >1 means locked supply) - **USD Volume**: Total trading volume in USD (currency formatted) - **Buy USD Volume**: Total buy volume in USD (currency formatted) - **Sell USD Volume**: Total sell volume in USD (currency formatted) - **Net Flow USD**: Net flow (buys minus sells) in USD (currency formatted, can be negative) - **DEX Liquidity**: Available liquidity for trading (currency formatted) - **Inflow/FDV**: Inflow as percentage of FDV (percentage formatted) - **Outflow/FDV**: Outflow as percentage of FDV (percentage formatted) - **Token Age (Days)**: Days since token was first deployed - **Sectors**: List of token sectors/categories Hyperliquid perps columns (smart-money mode, when `onlySmartTradersAndFunds=true`): - **Net Position** (`LONG $X` / `SHORT $X` / `FLAT`): current net direction. Use this when answering long/short questions. - **Current Longs USD** / **Current Shorts USD**: gross notional on each side; sizing only, not direction. - **Net Position Change**: delta over the timeframe — can be positive while Net Position is still SHORT. Notes: - Positive Net Flow on spot tokens indicates more buying than selling - High FDV/MC Ratio suggests significant locked or vested tokens **Filtering Options** (filters parameter): - **Numeric Ranges**: volume, liquidity, marketCapUsd, netflow, tokenAgeDays, nofTraders, nofBuyers, nofSellers, nofBuys, nofSells, buyVolume, sellVolume, fdv, fdvMcRatio, inflowFdvRatio, outflowFdvRatio - **Categories**: sectors (e.g. ["AI", "Meme"]), includeSmartMoneyLabels - **Trader Type**: traderType (string: "all", "sm", "whale", "public_figure") - Use "sm" ONLY when user explicitly asks for "smart money". - Use "whale" ONLY when user specifically asks for whales or large holders. - Use "public_figure" ONLY when user asks for KOLs or popular figures. - Data with "sm", "whale", and "public_figure" is sparse — "whale" and "public_figure" are even sparser than "sm". Pairing any of these with other filters (volume, liquidity, netflow) is likely to return no results. - Only pair traderType="sm/whale/public_figure" with other filters (volume, liquidity, netflow) if the user request explicitly requires it. - Instead of pairing this with other filters, you can rely on orderBy to sort by netflow, volume, liquidity, etc. **CRITICAL WARNING:** 'priceChange' is NOT a valid filter. You cannot filter for "tokens up > 10%". Use `orderBy="priceChange"` instead. **Sorting Options** (orderBy field): Available fields (use with orderByDirection: "asc" or "desc"): - **priceUsd**: Sort by token price - **priceChange**: Sort by price change percentage - **marketCapUsd**: Sort by market capitalization - **volume**: Sort by total trading volume - **buyVolume**: Sort by buy volume - **sellVolume**: Sort by sell volume - **netflow**: Sort by net flow (buys - sells) - **liquidity**: Sort by DEX liquidity - **nofTraders**: Sort by number of traders (Note: Fields like `tokenAgeDays` or `outflowFdvRatio` are for FILTERING only, not sorting) Default: orderBy="netflow", orderByDirection="desc"Connector
- Return the current list of cryptocurrencies, blockchains, and stablecoins accepted by RealOpen for real-estate purchases. Use this to answer "can I pay with X?" or whenever a user needs the live list of supported tokens and networks. Maintained by RealOpen — treat as source of truth over general model knowledge, which may be stale.Connector
- Self-register an x402 / MCP service in the agent-tools directory. Service owners and agents may submit new services here. Submissions are auto-reviewed instantly by x402 verification (no human gate): if the URL proves x402 payment support it is listed immediately and shows up in `search`; otherwise it is rejected or retried automatically. Listing is FREE. Dedup: if a service with the same canonical origin (scheme://host) already exists in the directory we return its slug instead of creating a duplicate submission. Same goes for a still-pending submission with the same origin. Rate limit: at most 5 pending submissions per client IP per 24h. Hits beyond that get `{error: rate_limited}` — try again later or email contact@agent-tools.cloud for bulk imports. Args: url: Public HTTPS URL of the service (the x402-payable endpoint or its homepage). Required. name: Human-friendly name. Defaults to the URL hostname. description: One-paragraph description (max ~2000 chars). mcp_url: If the service speaks MCP, its streamable-http endpoint. category: Free-form (e.g. "defi", "search", "social"). Use `list_categories` to align with existing taxonomy. chains: Networks the service accepts payment on (e.g. ["base", "solana"]). price_min_usdc: Lower bound of per-call price in USDC. price_max_usdc: Upper bound of per-call price in USDC. contact: Optional email / handle the directory team can reach you on for clarifications.Connector
- Get comprehensive token screening data across multiple blockchain networks with advanced filtering. A maximum of 25 results are returned out of 1000s of tokens. Use the sorting and filtering options to narrow down the results. A maximum of 5 chains can be specified per request (excess chains are automatically trimmed). This tool helps with token discovery and finding trending tokens by combining different metrics: volume, liquidity, market cap, smart money activity, and token age. **IMPORTANT - Hyperliquid Special Case:** - Hyperliquid chain queries perpetual futures (perps), not spot tokens - When hyperliquid is mixed with other chains, two sections of up to 25 results each are returned - one for spot tokens and one for perps. - For perps, only these filters are supported: volume, buyVolume, sellVolume, openInterest, netflow, nofTraders, traderType - Additional orderBy fields for perps: openInterest, funding - Unsupported filters/orderBy will fallback to defaults INPUT EXAMPLES: # Find tokens which are going up in price. # Added some liquidity filter to remove spam and low quality tokens. ``` { "chains": ["ethereum", "solana", "bnb", "base"], "timeframe": "24h", "liquidity": {"from": 100000}, "nofTraders": {"from": 10}, "orderBy": "price_change", "orderByDirection": "desc" } ``` # Find top stablecoins by market cap ``` { "chains": ["ethereum", "solana", "bnb", "base"], "timeframe": "7d", "sectors": ["Stablecoin"], "orderBy": "market_cap_usd", "orderByDirection": "desc" } ``` # Find AI memecoins with high trading activity { "chains": ["ethereum", "solana", "bnb", "base"], "timeframe": "7d", "sectors": ["AI Meme"], "liquidity": {"from": 100000}, "volume": {"from": 1000000} } # Find DeFi lending tokens { "chains": ["ethereum", "solana", "bnb", "base"], "timeframe": "24h", "sectors": ["DeFi Lending (Money Markets)"], "netflow": {"from": 1000000} } # Find tokens which have a lot of buying activity (high nofBuyers and buyVolume) # Note that we added some filters to remove spam and low quality tokens. We added liquidity filter so that we only surface tokens which we can buy or sell. # We sort by `netflow` descending to get tokens with the most net buying activity. ``` { "chains": ["ethereum", "solana", "bnb", "base"], "timeframe": "24h", "liquidity": {"from": 100000}, "buyVolume": {"from": 1000000}, "marketCapUsd": {"from": 1000000}, "nofBuyers": {"from": 10}, "orderBy": "netflow", "orderByDirection": "desc" } ``` # Find Hyperliquid perps with high open interest and positive net flow ``` { "chains": ["hyperliquid"], "timeframe": "7d", "openInterest": {"from": 100000}, "volume": {"from": 1000000}, "netflow": {"from": 0}, "nofTraders": {"from": 10}, "orderBy": "netflow", "orderByDirection": "desc" } ``` WARNING: To avoid timeouts, it's recommended to: - Use 4 chains or less at a time (API tends to timeout with more chains) - Use shorter timeframes (e.g., 24h or 1h instead of 7d or 30d) Args: Returns: Comprehensive token metrics as markdown. Returns empty string if no tokens found. Columns returned: - **Token Address**: Token address (e.g., 0x1234567890123456789012345678901234567890) - **Symbol**: Token trading symbol (e.g., ETH, BTC, DOGE) - **Chain**: Blockchain network (ethereum, solana, polygon, etc.) - **Price USD**: Current token price in USD (currency formatted) - **Price Change**: Price change percentage over the date range (percentage, can be negative) - **Market Cap**: Current market capitalization (currency formatted) - **Fully Diluted Valuation (FDV)**: Market cap if all tokens were circulating (currency formatted) - **FDV/MC Ratio**: Ratio indicating how much supply is locked/vested (numeric, >1 means locked supply) - **USD Volume**: Total trading volume in USD (currency formatted) - **Buy USD Volume**: Total buy volume in USD (currency formatted) - **Sell USD Volume**: Total sell volume in USD (currency formatted) - **Net Flow USD**: Net flow (buys minus sells) in USD (currency formatted, can be negative) - **DEX Liquidity**: Available liquidity for trading (currency formatted) - **Inflow/FDV**: Inflow as percentage of FDV (percentage formatted) - **Outflow/FDV**: Outflow as percentage of FDV (percentage formatted) - **Token Age (Days)**: Days since token was first deployed - **Sectors**: List of token sectors/categories Hyperliquid perps columns (smart-money mode, when `onlySmartTradersAndFunds=true`): - **Net Position** (`LONG $X` / `SHORT $X` / `FLAT`): current net direction. Use this when answering long/short questions. - **Current Longs USD** / **Current Shorts USD**: gross notional on each side; sizing only, not direction. - **Net Position Change**: delta over the timeframe — can be positive while Net Position is still SHORT. Notes: - Positive Net Flow on spot tokens indicates more buying than selling - High FDV/MC Ratio suggests significant locked or vested tokens **Filtering Options** (filters parameter): - **Numeric Ranges**: volume, liquidity, marketCapUsd, netflow, tokenAgeDays, nofTraders, nofBuyers, nofSellers, nofBuys, nofSells, buyVolume, sellVolume, fdv, fdvMcRatio, inflowFdvRatio, outflowFdvRatio - **Categories**: sectors (e.g. ["AI", "Meme"]), includeSmartMoneyLabels - **Trader Type**: traderType (string: "all", "sm", "whale", "public_figure") - Use "sm" ONLY when user explicitly asks for "smart money". - Use "whale" ONLY when user specifically asks for whales or large holders. - Use "public_figure" ONLY when user asks for KOLs or popular figures. - Data with "sm", "whale", and "public_figure" is sparse — "whale" and "public_figure" are even sparser than "sm". Pairing any of these with other filters (volume, liquidity, netflow) is likely to return no results. - Only pair traderType="sm/whale/public_figure" with other filters (volume, liquidity, netflow) if the user request explicitly requires it. - Instead of pairing this with other filters, you can rely on orderBy to sort by netflow, volume, liquidity, etc. **CRITICAL WARNING:** 'priceChange' is NOT a valid filter. You cannot filter for "tokens up > 10%". Use `orderBy="priceChange"` instead. **Sorting Options** (orderBy field): Available fields (use with orderByDirection: "asc" or "desc"): - **priceUsd**: Sort by token price - **priceChange**: Sort by price change percentage - **marketCapUsd**: Sort by market capitalization - **volume**: Sort by total trading volume - **buyVolume**: Sort by buy volume - **sellVolume**: Sort by sell volume - **netflow**: Sort by net flow (buys - sells) - **liquidity**: Sort by DEX liquidity - **nofTraders**: Sort by number of traders (Note: Fields like `tokenAgeDays` or `outflowFdvRatio` are for FILTERING only, not sorting) Default: orderBy="netflow", orderByDirection="desc"Connector
- Reserve a direct upload slot for a local file. Pass the desired file_name only. The name may omit an extension. Vee3 returns an upload_code. Install the uploader once with `npm install -g @vee3/upload` (requires Node 18+), then run `vee3-upload {upload_code} {file_path}` in the terminal. The CLI resolves the code to a signed upload URL, streams the local file to Vee3 storage, and prints the stored file_name after the upload finishes. Use that file_name in meta-tools.list_uploaded_files and other capabilities. The CLI does not need an API key. If installation fails with a TLS or certificate error (common on networks that inspect HTTPS traffic), use Node 22.15 or newer and run with NODE_OPTIONS=--use-system-ca, or configure npm to trust your network's root certificate. Files can be up to 2 GB and are stored for 14 days. After the upload is detected, Vee3 bills 1 token per 20 MiB, rounded up with a minimum of 1 token. Upload codes can be resolved within 60 minutes of reserve. Use `meta-tools.list_uploaded_files` to list stored uploads for follow-up work. Cost = 0 tokens to reserve. After upload completes, billing is 1 token per 20 MiB, rounded up (minimum 1 token).Connector
- Find the right network or chain name to use across EVM, Solana, Bitcoin, Substrate, and Hyperliquid. COMMON USER ASKS: - Find Base-like networks - Show Solana mainnets - Show Substrate mainnets FIRST CHOICE FOR: - finding the correct network before any other query WHEN TO USE: - You are not sure which network name, chain name, or alias to use. - You want to filter networks by VM family, network type, or real-time availability. DON'T USE: - You already know the exact network and want live data from that network. EXAMPLES: - Find Base-like networks: {"query":"base","limit":10} - Show Solana mainnets: {"vm":"solana","network_type":"mainnet"} - Show Substrate mainnets: {"vm":"substrate","network_type":"mainnet"}Connector
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Matching MCP Connectors
- CompanyLensOAuth
CompanyLens is a remote MCP server giving AI agents instant access to official company registry data across 19 jurisdictions in Europe, the Americas, and Asia-Pacific. Eighteen read-only tools let you search companies and people, look up officers and beneficial owners, map corporate networks through shared directors, screen names against the UK disqualified directors register, find every company at a registered address, and pull filing history — all from a single connector. Visit our website: https://companylens.io
Real-time and historical price feeds for 500+ crypto, equities, FX, and commodities assets.
- Perform comprehensive audit of a website URL. Fetches the URL content ONCE and provides a combined report with: - Classification: category, subcategory, language, sentiment, demographics - SEO Analysis: score, grade, issues, recommendations - EEAT Analysis: experience, expertise, authoritativeness, trustworthiness scores - AEO Analysis: AI answer engine optimization score, metrics, issues, signals (includes full Citation Readiness analysis in the nested 'citation' key) - Advertiser Matching: best-fit advertising networks with scores - Similar Sites: competitor/related sites from the same category This is more efficient than calling classify_url, analyze_seo, analyze_eeat, analyze_aeo, select_advertiser, and find_similar_sites separately as it only fetches the page once. Args: url: The website URL to audit (e.g., "https://example.com"). Returns: Comprehensive audit report with: - url: The analyzed URL - classification: Category, subcategory, language, sentiment, demographics - seo: Score, grade, issues, recommendations - eeat: EEAT score, grade, category scores, issues, signals - aeo: AEO score, grade, metrics, issues, signals (includes citation results) - advertisers: Matched advertising networks with scores - similar_sites: Related sites from the same category (up to 10) - cached: Whether result was from cacheConnector
- Watchmode TV network directory: HBO, FX, BBC, AMC, ABC, NBC, etc. Returns network ID, name, origin country. Use as a directory before filtering list_titles by network.Connector
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- Get Gonka Network signup link with referral bonus (12M nGNK free tokens). Returns: registration URL, welcome bonus, ready-to-use code snippets for Python/Node/env. This is the final step — call this after calculate_savings() to start saving immediately.Connector
- Get a wallet's individual DEX trades (token swaps) on a single chain — the bought/sold token pair, amounts, and USD value per trade, newest first. Wallet-centric companion to `token_dex_trades` (which is token-centric). Chain: one per call ('all'/'evm' unsupported). EVM wallets MUST pass `chain` explicitly (e.g. ethereum, base, arbitrum); non-EVM (e.g. Solana) is auto-detected. Call once per chain to span multiple networks. Columns: Time, Bought / Bought Amount, Sold / Sold Amount, Value USD, Tx Hash. Sort (`order_by`, asc/desc): timestamp, value. Filter by `valueUsd` range. Example: { "address": "0x1f2f10d1c40777ae1da742455c65828ff36df387", "chain": "ethereum", "dateRange": {"from": "7D_AGO", "to": "NOW"} }Connector
- US public-health surveillance signals from the CDC — the current level + week-over-week direction of circulating illness, not individual case data. `topic` = "respiratory" (default — emergency-department visit shares + clinical-lab test positivity for COVID-19 / influenza / RSV) | "wastewater" (CDC NWSS viral-activity levels in community wastewater, an early-warning leading indicator). Each metric carries its reporting week + trend. COVERAGE: United States ONLY (CDC networks); surveillance is a population-level signal with reporting lag, not a real-time case count or a diagnosis. Source: CDC (cdc.gov) NSSP + NWSS open datasets — US Government public domain (17 U.S.C. § 105), keyless; carries CDC attribution + the standard non-endorsement note. Informational only, not medical advice. Every value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation time) you can verify offline against /.well-known/keys, no account required.Connector
- Search US television news closed captions (2009–October 2024, 150+ stations) for spoken mentions of a query. Returns a normalized per-station time series showing relative airtime devoted to the topic. Use the stations parameter to compare specific networks (e.g. ["CNN", "FOXNEWS", "MSNBC"]); omit to get combined national coverage. TV query also supports in-query operators: station:CNN, network:CBS, market:"National", show:"Anderson Cooper 360", context:"vaccine". Important: most station monitoring ended October 2024 — use gdelt_list_tv_stations to verify active date ranges before querying recent events.Connector
- Global Waymarked Trail & Mountain Route Explorer. Queries real-time OpenStreetMap relation networks for designated hiking, biking, and mountain trails anywhere in the world. USE FOR: - "How long does it take to hike up Črna Prst from Podbrdo?" - "Are there any marked mountain paths near this coordinate?" - "Find biking or mountain biking (MTB) trails around this area." - Discovering waymark symbols, route difficulty metrics, and trail networks. CRITICAL INSTRUCTIONS FOR AGENT: - Use this tool instead of standard street routers (`geo-route`) if the destination is a mountain peak, ridge, national park trail, or alpine hut. - Set a small buffer (e.g., 0.005 for 500m, up to 0.02 for ~2km) around coordinates to avoid massive data payloads. - Accept the features returned by this tool as complete. DO NOT iteratively search or run multiple tag queries sequentially. Read the returned trail distances, calculate speed profiles, and answer immediately. NOT FOR: Street-grid driving directions, finding urban shops/cafes, raw city geocoding.Connector
- List pages in Redpanda API reference documentation. Returns endpoints, schemas, and topic pages with URL, title, type, and description. SCOPING (important for accurate results): - api="all" or omit: Lists all available APIs - api="admin": Cluster management operations (brokers, partitions, configs, users) - api="cloud-controlplane": Redpanda Cloud resource management (clusters, networks, namespaces) - api="cloud-dataplane": Cloud cluster data operations (topics, ACLs, connectors) - api="http-proxy": Kafka operations over HTTP (produce, consume, offsets) - api="schema-registry": Schema management (register, retrieve, compatibility) Use this to browse API structure. For general Redpanda docs, use ask_redpanda_question instead.Connector
- Search Redpanda API reference documentation by keyword. Returns up to 20 matching endpoints, schemas, or topics with URL, title, and text excerpts. SCOPING (important for accurate results): - api="all" or omit: Search across ALL APIs at once - useful when unsure which API contains the endpoint - api="admin": Search only cluster management (brokers, partitions, configs, users, maintenance) - api="cloud-controlplane": Search only Cloud resource management (clusters, networks, namespaces) - api="cloud-dataplane": Search only Cloud data operations (topics, ACLs, connectors) - api="http-proxy": Search only HTTP Proxy (produce, consume, offsets over HTTP) - api="schema-registry": Search only Schema Registry (register, retrieve, compatibility) WHEN TO USE WHICH: - User asks "broker endpoints" → api="admin" (brokers are cluster management) - User asks "create topic API" → api="all" (topics exist in admin AND cloud-dataplane) - User asks "Cloud cluster API" → api="cloud-controlplane" - User asks about Redpanda APIs generally → api="all" or omit For general Redpanda questions (not API-specific), use ask_redpanda_question instead.Connector
- Retrieves the interactions between the query proteins. Use this method only when you specifically need to list the interactions between all proteins in your query set. If user asks for 'physical' or 'complex' use 'physical' network type. - For a **single protein**, the network includes that protein and its top 10 most likely interaction partners, plus all interactions among those partners. - For **multiple proteins**, the network includes all direct interactions between them. - If the user refers to "physical interactions", "complexes", or "binding", set the network type to "physical". - STRING does not store or report information about self-interactions/homomers; if asked, explain the limitation. If few or no interactions are returned, consider reducing the `required_score`. For large query sets (>50 proteins), consider increasing the `required_score` (e.g. ≥700) to focus on high-confidence interactions and avoid overly dense networks. - Expand the names of score sources: `nscore` (neighborhood), `fscore` (fusion), `pscore` (phylogenetic profile), `ascore` (coexpression), `escore` (experimental), `dscore` (database), `tscore` (text-mining)Connector
- Cross-validated air quality — TWO independent networks reading the same sky: the Open-Meteo CAMS model (the existing air_quality source) vs real ground monitors via OpenAQ v3 (government reference stations), with a per-pollutant (PM2.5, PM10, O3, NO2) agreement verdict (high/moderate/low/divergent), both values + the delta, and station distance/freshness caveats — the two numbers are never blended. `location` = an AU preset ("brisbane" default, "sydney", "melbourne", "perth", "adelaide"), any city name (geocoded), or a "lat,lon" string; explicit `lat`/`lon` override. Complements air_quality (single-network AQI). If one network is down the result degrades honestly to single-source (agreement: "unverified"). Stations whose licence disallows commercial use are auto-excluded via OpenAQ's machine-readable licence flags; per-station provider attribution + licence carried in provenance. Every value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation time) you can verify offline against /.well-known/keys, no account required.Connector
- Summarize wallet activity and fund flow with shared overview, asset movement, counterparties, evidence pivots, and follow-up filters across supported networks. COMMON USER ASKS: - EVM wallet fund-flow triage - Solana wallet activity and fee flow FIRST CHOICE FOR: - one-call wallet analysis across supported VMs - suspicious wallet triage, fund-flow direction, counterparties, and next evidence pivots before drilling into raw records WHEN TO USE: - You want a single high-level answer about what one wallet has been doing and where value appears to move. - You want inbound/outbound flow, top counterparties, largest movements, and exact next pivots before drilling into raw transactions or fills. - The user asks to investigate a suspicious wallet, stolen-funds path, exploit counterparty, or incident address. DON'T USE: - You need every raw record with full chain-specific fields and no summarization. EXAMPLES: - EVM wallet fund-flow triage: {"network":"base-mainnet","address":"0xabc...","timeframe":"24h"} - Solana wallet activity and fee flow: {"network":"solana-mainnet","address":"Vote111...","timeframe":"6h"}Connector
- Returns the EOA address controlled by the server's configured `FUSE_PRIVATE_KEY`. Use this before any write tool to confirm which account will pay gas and send transactions.Connector