Tokenized equities on Robinhood Chain, one row per token: symbol, name, status, multiplier (float) and tradable (market whole AND fractional tradable). status filters on the ASSET_STATUS_* prefix - pass 'ACTIVE' (default, hides inactive) or another status short name; 'ALL' disables filtering. Alphabetical, capped at limit. Returns {"count", "total_matching", "tokens"}. Start here for valid symbols; feed them into quote/token_detail. Example: token_list(status="ACTIVE", limit=50)

One token's live quote joined with its asset metadata: bid/ask/spread raw, multiplier-adjusted (bid_adjusted, ask_adjusted, mid_adjusted - always read them next to multiplier), daily_volume, is_halted, trading_capabilities {fractional, all_day, extended_hours}, multiplier {current, pending (None while nothing is queued), effective_time} and generated_at. Unknown symbol raises an error (MCP isError) - call token_list() for the valid set. A token with no current quote returns metadata with bid/ask None and a note. Example: quote(symbol="AAPL")

Batch of quote() rows, up to 20 per call (more raises), fetched in PARALLEL (v0.1.1): 8 quote() calls in flight at once, so 10 cold symbols complete in roughly one RTT instead of ten. Unknown symbols do not fail the batch - they land in errors: [{symbol, reason}] while the rest return normally, and the output order matches the input order. Example: quotes(symbols=["AAPL", "MSFT", "NVDA"])

Full dossier for one token: metadata (contract, chain 4663, decimals, isin, logo), its quote() view, the last 5 corporate actions, the multiplier block with history_note, trading capabilities (normalized + raw market/extended/overnight statuses) and warnings - a pending multiplier change surfaces as 'pending split: 1->X on DATE'. Unknown symbol raises an error (MCP isError). Example: token_detail(symbol="AAPL")

Market-wide health from assets() only - never fetches 194 prices. total_tokens, active (ASSET_STATUS_ACTIVE), untradable (fractional untradable among active), halted (only tokens whose quote is ALREADY in the price cache - opportunistic; call quotes() on suspect symbols for a real halt scan), extended_hours_open and market_hours_status. Example: market_status()

Corporate actions (splits, dividends) across all tokens, or filtered to one symbol. Each row: symbol, type, status, process_date, details {old_rate, new_rate} (floats when the source carries rate fields) and raw (the original record, untouched). Tolerant to the API's field-name variants. Example: corporate_actions(symbol="AAPL", limit=5)

Local fuzzy search over the token list - no HTTP beyond the cached assets(). Ranking: exact symbol > symbol prefix > name-word prefix > substring in name/symbol (case-insensitive); top limit (default 10, cap 50) with score. 'apple' -> AAPL. Results carry symbol, name, status, sector, score. Example: search(query="apple", limit=3)

Sector map (13 sectors, static validated classification) with per-sector size and live averages.

warm=False (default): cheap snapshot - averages appear only for quotes ALREADY cached ('warmed': false; no requests made). warm=True: fan out quotes() first (parallel batches of 20, upstream rate-limit safe), then report - averages are live. With sector= 'Name' only that sector is fetched and returned; an unknown name raises with the valid list. requests_made counts the price-cache misses at the start of the warm pass (each miss = one upstream request; fresh cache hits and cached-again symbols cost nothing). Example: sector_view(warm=True, sector="Crypto/Digital Assets")

On-chain footprint of a token, joined from three independent sources (each fails to a warning, never silently):

• REST metadata: contract, chain_id, network, decimals, isin

• RPC (publicnode eth_call): total_supply = totalSupply()/1e18

• explorer (Blockscout): holders_count, circulating_market_cap

supply_crosscheck compares the REST-implied capitalization (total_supply * multiplier * quote mid) with the explorer's circulating_market_cap; a >1% divergence lands in warnings[] (both values still returned). Every derived field carries a per-field "source" tag ("rpc" | "explorer" | "rest"). Example: onchain_info(symbol="AAPL")

Top holders of a token's contract from the explorer (one page, max 50 rows, cached 600s inside the explorer client). Each row: address, value (float token units, raw/1e18), share_pct (= value / total_supply * 100) and is_contract. total_supply comes from the RPC totalSupply() call, falling back to the explorer's own token row when the RPC is unavailable (source-tagged either way). Explorer/RPC failures return an error dict with kind + hint, never a silent empty list. Example: holder_snapshot(symbol="AAPL", limit=10)

Which tokenized equities (out of the assets() universe) a wallet holds, from the explorer's address token-balances. The universe join is case-insensitive on the contract address; rows: symbol, name, value (float token units, raw/1e18). est_position_usd and portfolio_usd_total are computed ONLY from quotes already in the price cache (no quote fan-out); when quotes are missing or stale a note says so instead of faking numbers. Results cached 120s. Example: wallet_holdings( address="0x8366a39CC670B4001A1121B8F6A443A643e40951")

Recent ERC-20 Transfer events for a token's contract, from the public RPC's adaptive walk-back over the last ~800 blocks (windows start 48 blocks wide and shrink 48->32->16->8 on archive-403s, ~14 getLogs requests max - the free RPC only serves a floating ~45-60-block window). Rows (newest first): ts (ISO-8601 from the log's own blockTimestamp), from, to, value (float token units), tx_hash, block. min_value filters in token units AFTER normalization. Results cached 60s. The note is honest about why the walk stopped: 'window-closed' points at the explorer transfer list for older history, 'budget' says the request cap was hit. Example: transfer_history(symbol="AAPL", limit=10, min_value=1.0)

Historical prices recorded by the OPTIONAL local recorder (arcus_mcp/recorder.py since 0.2.1) - not a live API call. timeframe='daily': OHLCV bars from history/daily.parquet (open/high/low/close are multiplier-adjusted); timeframe='raw': every recorded snapshot (bid/ask raw, mid_adjusted, multiplier, is_halted) from history/snapshots_*.parquet. Rows are newest-first. The symbol is NOT checked against token_list (the recorder writes the whole universe; assets drift) - a symbol simply absent from the file returns count 0. Degrades honestly instead of raising when the optional pieces are missing: pyarrow absent -> error suggesting 'pip install arcus-agent-gateway[recorder]'; recorder never run / no data yet -> error pointing at README § Optional price history recorder. limit must be positive (daily capped at 200, raw at 500). Example: price_history(symbol='AAPL', timeframe='daily', limit=30)