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127,390 tools. Last updated 2026-05-05 15:09

"namespace:br.com.remaxstudio76.feed" matching MCP tools:

  • Lists every automation configured on a perspective with its trigger, channel (sensitive details redacted), execution mode, enabled state, schedule description, and recent error/success metadata. Behavior: - Read-only. - Errors when the perspective is not found or you do not have access. - Sensitive parts of channel delivery (e.g., webhook auth headers, full URLs) are redacted before being returned. - has_error / last_error / last_error_at / failure_count appear only when there have been recent failures. When to use this tool: - Auditing what's wired up on a perspective before adding more automations. - Finding an automation_id to feed into automation_update, automation_delete, or automation_test. - Diagnosing a failing automation via last_error / failure_count. When NOT to use this tool: - Creating a new automation — use automation_create. - Toggling enabled or changing config — use automation_update. - Verifying delivery actually works — use automation_test.
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  • Get price data for specific feeds at a historical timestamp. Use get_symbols first to find feed IDs or symbols. If both price_feed_ids and symbols are provided, only price_feed_ids are used. Accepts Unix seconds, milliseconds, or microseconds (auto-detected). Historical data is available from April 2025 onward — do not request timestamps before that. The timestamp is internally converted to microseconds and aligned (rounded down) to the channel rate — e.g. for fixed_rate@200ms, it must be divisible by 200,000μs. Prices are integers with an exponent field — human-readable price = price * 10^exponent. Pre-computed display_price fields are included for convenience.
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  • Search WhatDoTheyKnow's feed-based event index and return structured results. Call this to find FOI requests matching a query expression. Returns up to `limit` AtomEntry objects. Use the `link` field of each result as the next navigation step — extract the request slug and call the wdtk://requests/{slug} resource or get_request_feed_items for full detail. Example expressions: status:successful body:"Liverpool City Council" (variety:sent OR variety:response) status:successful
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  • Pull a batch of recent ISIR events (insolvency register publications) since the given event id. ISIR is an append-only feed — each call returns up to ~1000 events newer than `since_id`. Use `last_id` from response as next `since_id`. Useful for compliance monitoring or to back-fill an index.
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  • [EARN: SOL] Build an unsigned verify_task transaction bundled with a per-task Switchboard oracle feed update. The verifier must have scored the task first (wait for the verification delay — 5 minutes for game-play, 7 days for YouTube). Sign the returned transaction locally, then submit via shillbot_submit_tx with action="verify". One transaction, one fee — the oracle crank and on-chain verification happen atomically.
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  • Fetch live crypto market data from CoinGecko and DexScreener. No external data needed — WaveGuard pulls it for you. Use 'coin_id' for CoinGecko (e.g. 'bitcoin', 'ethereum', 'solana'). Use 'contract_address' for DexScreener (any chain). Use 'search' to find token IDs by name/symbol. Returns: price, volume, market cap, liquidity, price history, OHLC candles — ready to feed into waveguard_token_risk, waveguard_volume_check, or waveguard_price_manipulation.
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  • Acesso ao inventário de imóveis da RE/MAX Studio 76 — busque imóveis em São Paulo por tipo, bairro, preço, dormitórios, vagas e mais. 4 ferramentas: search_properties, get_property_details, list_neighborhoods, get_agency_info. Read-only, sem PII (LGPD compliant).

  • Bounty-feed search 386 rows across 9 sources (Bountycaster/Dework/Sherlock/Algora/GitHub/Reddit).

  • Evaluates Saturn's seven-and-a-half-year Moon-sign cycle phases against natal data for the current day and returns intensity, upcoming cycles, and historical rows. SECTION: WHAT THIS TOOL COVERS Sade Sati mechanics: natal Moon sign in English, three reference signs (rising/peak/setting), active flag, current phase label, intensity score/label, next occurrence metadata, all_periods[] timeline with nested phase objects, mitigation booleans, classical note. "Today" is implicit — no date parameter. Signs are English, not Sanskrit. It is not general Gochar (asterwise_get_gochar) or dasha overlay (asterwise_get_dasha_transits). SECTION: WORKFLOW BEFORE: RECOMMENDED — asterwise_get_natal_chart — confirm Moon sign context. AFTER: asterwise_get_gochar — broader transit canvas if needed. SECTION: INPUT CONTRACT No explicit query date — API pins to current day. BirthData global contract applies. SECTION: OUTPUT CONTRACT data.natal_moon_sign (string — English, e.g. 'Libra') data.natal_moon_sign_index (int — 0–11) data.sade_sati_signs: rising (string) peak (string) setting (string) data.is_currently_active (bool) data.current_phase (string — 'rising', 'peak', 'setting', or null) data.current_phase_description (string or null) data.intensity_score (int — 0–10) data.intensity_label (string — 'low', 'moderate', or 'high') data.next_sade_sati: starts (string — YYYY-MM-DD) phase (string) years_away (float) data.all_periods[] — each: sade_sati_number (int) overall_start (string — YYYY-MM-DD) overall_end (string — YYYY-MM-DD) duration_years (float) phases: rising — { name, description, start, end, saturn_sign, intensity } peak — same shape setting — same shape data.mitigated_by_own_sign (bool) data.mitigated_by_exaltation (bool) data.classical_note (string) SECTION: RESPONSE FORMAT response_format=json serialises the complete response as indented JSON — use this for programmatic parsing, typed clients, and downstream tool chaining. response_format=markdown renders the same data as a human-readable report. Both modes return identical underlying data — no fields are added, removed, or filtered by either mode. SECTION: COMPUTE CLASS MEDIUM_COMPUTE SECTION: ERROR CONTRACT INVALID_PARAMS (local — caught before upstream call): None — BirthData Pydantic only. INVALID_PARAMS (upstream): — None — upstream rejection surfaces as MCP INTERNAL_ERROR at the tool layer. INTERNAL_ERROR: — Any upstream API failure or timeout → MCP INTERNAL_ERROR Edge cases: — English sign names throughout — do not expect Sanskrit. SECTION: DO NOT CONFUSE WITH asterwise_get_gochar — nine-planet daily scan including sade_sati_active flag but less Sade Sati detail than this tool. asterwise_get_transits — ingress/station feed, not Moon-focused Saturn phase model.
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  • Premium event-stream endpoint for monitor agents. Aggregates time-stamped events from 4 sources into one time-sorted feed: USGS earthquakes M4.0+, Hacker News new stories via Algolia, recently updated Polymarket markets, and space launches in [-1h, +12h] window. Accepts ?since=<ISO timestamp> (defaults 1h ago, clamped to 1h cache horizon). Each event has type, timestamp, severity, and structured data. Saves an agent from polling 5 separate upstream feeds and merging client-side. Costs 2 credits ($0.04 USDC). Bearer auth required. 1-hour rolling cache; sub-second when warm.
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  • Read a workspace's doc (TipTap rich-text) body. Returns three forms of the same content: `content` (TipTap JSON, round-trippable into update_doc for structural edits), `markdown` (CommonMark + GFM, ready to feed to an LLM or render in a non-ProseMirror surface), and `text` (plain text, best for search, summarisation, word-count heuristics). A workspace can hold any combination of doc and table surfaces, one or many of either kind; omit `surface_slug` to read the primary doc surface, or pass it to target a specific doc tab (use `list_surfaces` to enumerate). An unwritten or absent doc returns content={}/markdown=""/text=""; a `surface_slug` that doesn't match any live doc surface 404s.
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  • What's the market doing right now? Price, funding rate, CVD, whale activity, and liquidation pressure in one call — 16 fields, no LLM overhead. Feed directly into your own models or decision logic. orderflow coverage disclosed per token. REST equivalent: POST /data (0.20 USDC). Args: token: Token symbol (BTC, ETH, SOL, XRP, ADA, DOGE, AVAX, LINK, BNB, ATOM, DOT, ARB, SUI, OP, LTC, NEAR, TRX, BCH, SHIB, HBAR, TON, XLM, UNI, AAVE, AMP, ZEC)
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  • Auto-fetch registry: which bands the responder will materialize on a recall miss, the upstream provider, license, value shape, and history bounds. When to use: Call once at session start (alongside `emem_bands` and `emem_coverage_matrix`) to learn which bands answer for ANY cell on Earth without seeding. Each entry declares `upstream_scheme`, `upstream_endpoint`, `derivation_fn_key`, `value_kind` (primary | absence | primary_or_absence), `coverage` (where the upstream has data), `unit`, `tempo`, `confidence`, and `history_available_from` / `history_available_to` (when the upstream supports historical fetch via `emem_backfill`). Use this when the user asks 'do you have flood data here', 'what providers feed this', or you need license attribution. The response also carries an `agent_hint` block explaining the trust model (responder signs, not upstream) and the absence-fact contract.
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  • Get the most recent real-time price for one or more feeds. Requires an `access_token` parameter (get one at https://docs.pyth.network/price-feeds/pro/acquire-access-token). Use get_symbols first to find symbols or feed IDs. IMPORTANT: symbols must be the full name including asset type prefix (e.g. 'Crypto.BTC/USD', not 'BTC/USD'). If both price_feed_ids and symbols are provided, only price_feed_ids are used. Prices are integers with an exponent field — human-readable price = price * 10^exponent. Pre-computed display_price fields are included for convenience.
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  • Converts a monetary amount between two fiat currencies using live exchange rates from an open currency exchange API. Returns the converted amount and the rate applied. Use currency_convert_open as an alternative live-rate source when currency_convert (Frankfurter/ECB) or currency_fx_lite are unavailable or rate-limited. The underlying source is an open public exchange rate feed suitable for informational use. Prefer currency_convert or currency_rates when ECB-auditable Frankfurter rates are required for accounting or compliance. Prefer currency_convert_lite for the same minimal output (amount + rate) backed by ECB/Frankfurter rates. Prefer currency_fx_lite for lightweight mid-market conversions. Does not support cryptocurrency pairs — use crypto_fx_rates for any conversion involving a digital asset.
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  • Check domain against abuse.ch URLhaus for known malware-distribution URLs (single source — for multi-feed correlation use ioc_lookup which adds ThreatFox and, for IPs, Feodo Tracker). Use for fast domain-level threat assessment; use phishing_check for specific URLs. Free: 100/hr, Pro: 1000/hr. Returns {malware_urls, threat_tags, threat_status, summary}.
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  • Strips non-digits from a vehicle registration token, reduces the numeric run with owner name and birth date, and returns the same harmony schema as mobile analysis. SECTION: WHAT THIS TOOL COVERS Handles Indian pattern plates (e.g. MH01AB1234) and international variants; only digits feed totals. Produces vehicle-specific input_type. Does not analyse phone numbers (asterwise_check_mobile_number) or business names. SECTION: WORKFLOW BEFORE: RECOMMENDED — asterwise_get_numerology_profile — owner baseline. AFTER: None. SECTION: INPUT CONTRACT Letters and separators are ignored; reduction uses numeric digits only. SECTION: OUTPUT CONTRACT data.input (string — submitted plate) data.input_type (string — 'vehicle') data.total (int — sum of numeric digits) data.single_digit (int — root) data.is_master (bool) data.theme (string) data.favourable_for[] (string array) data.caution (string) data.harmony_score (int — one through ten) SECTION: RESPONSE FORMAT response_format=json serialises the complete response as indented JSON — use this for programmatic parsing, typed clients, and downstream tool chaining. response_format=markdown renders the same data as a human-readable report. Both modes return identical underlying data — no fields are added, removed, or filtered by either mode. SECTION: COMPUTE CLASS FAST_LOOKUP SECTION: ERROR CONTRACT INVALID_PARAMS (local — caught before upstream call): None — all validation is upstream. INVALID_PARAMS (upstream): — None — upstream rejection surfaces as MCP INTERNAL_ERROR at the tool layer. INTERNAL_ERROR: — Any upstream API failure or timeout → MCP INTERNAL_ERROR Edge cases: — Alphabetic segments are decorative for numerology here — only digits matter. SECTION: DO NOT CONFUSE WITH asterwise_check_mobile_number — phone digit rules including country codes. asterwise_get_business_name_analysis — evaluates business Expression, not registration digits.
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  • Search SEC EDGAR for mutual fund and ETF filers by investment category or keyword. Queries N-1A and 485BPOS (and N-2 for closed-end) prospectus filings. Returns entity name, CIK, form type, and filing date. PRIMARY USE: Step 1 of fee comparison. Feed the returned CIKs directly into GetFundFees to retrieve expense ratios for each fund. Example queries: - keywords='commodity', fund_type='etf' → commodity ETF universe - keywords='emerging markets equity' → EM equity funds - keywords='short duration bond' → short-term fixed income - keywords='S&P 500 index', fund_type='etf' → S&P 500 index trackers Results are de-duplicated by CIK (one record per fund filer). Supports date filtering to restrict to recently updated prospectuses. Source: SEC EDGAR full-text search API. No API key required.
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  • Access the change-batch feed - incremental delta batches listing every company ID that changed in a given source register during a given reporting period. Currently only available for CZ; other jurisdictions return 501. Two modes: 1. **List mode** (omit `batch_id`): returns the N latest batches, optionally filtered by `source`. Page forward via `offset`/`limit` until the returned array is empty - the upstream has no total-count field. 2. **Detail mode** (supply `batch_id` + `source`): returns change records in that batch with typZmeny ∈ {INS, UPD, DEL} and the changed company ID. Response also carries `total_changes` (full batch size) and `pagination: { limit, offset, has_more }`. Client-side sliced - batches can exceed 1000 records. Raw upstream fields come through verbatim under `jurisdiction_data`. Default page size 100, max 1000. Per-country source codes, capabilities and caveats - call `list_jurisdictions({jurisdiction:"<code>"})`.
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  • List available Pyth Pro price feeds. Use this FIRST to discover what feeds exist before calling get_latest_price, get_historical_price, or get_candlestick_data. Filter by asset_type (crypto, equity, fx, metal, rates, commodity, funding-rate) or search by name/symbol. Returns feed metadata including pyth_lazer_id (needed for get_historical_price), symbol, asset_type, and exponent.
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  • Rate a completed escrow. After escrow_release, rate the seller's service quality (1-5 stars). This builds the reputation data that makes PayCrow's trust scores meaningful over time. Both sides can rate: buyer rates seller's service quality, seller rates buyer's conduct. Ratings are on-chain and permanent — they feed directly into trust scoring.
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