"namespace:com.mru-oracle" matching MCP tools:

• get_entity

  TunnelMind Data API

  Returns an entity record for a surveillance company or data broker, including its industry, estimated annual data value per user (in USD), categories of personal data collected, and the full list of domains it controls. Free tier returns 5 domains, paid returns up to 200. Use this tool when: - You want to understand what corporate entity owns or controls a tracker domain. - You need to assess the total surveillance footprint of a company (e.g., Alphabet, Meta, Oracle). - You are building a corporate surveillance graph and need domain-to-entity mapping. Do NOT use this tool when: - You have a domain and need its category — use `get_domain` instead. - You want to browse entities by industry — use `list_entities` instead. - You are searching for an entity by name — use `search` instead. Inputs: - `slug` (path, required): URL-safe entity identifier (lowercase, hyphens). Examples: `alphabet`, `meta`, `oracle-data-cloud`, `the-trade-desk`. Returns: - Full `EntityRecord` with data categories, estimated data cost, and associated domains. - `domains`: array of top-scoring domains (5 for free tier, 200 for paid). - Pro/enterprise additionally return `website` and `description` fields. Cost: - Free tier: included in 50 req/day limit. Pro/enterprise: included in plan. Latency: - Typical: <150ms, p99: <400ms.

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• search_within

  Emoji Oracle

  Semantic search INSIDE a fetched record. Pass the text you already pulled (e.g. a SEC 10-K body, an article, a long tool result) plus a natural-language query; get back the top-N passages with character offsets and similarity scores. Use when the record is too big to cram into the prompt — search_within saves context, returns only the passages that matter, and every passage carries an offset so the agent can verify a verbatim quote. Pairs with ask_pipeworx_grounded: fetch with the gateway, ground over the relevant passages instead of the whole document. BGE-base-en embeddings + cosine over 500-char overlapping windows; cap is 200K chars (longer inputs are truncated and flagged).

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• get_payment_options

  headless-oracle

  Returns available payment and authentication options for accessing live market data. Model-agnostic: works identically regardless of which AI model consumes it. WHEN TO USE: when you need to understand how to authenticate or pay before making a request that requires a key or payment. Returns upgrade ladder: sandbox (200 calls free), x402 per-request ($0.001 USDC), x402 sandbox (10 credits for $0.001), credit packs ($5 = 1000 calls), builder subscription ($99/mo = 50K/day). RETURNS: { sandbox, x402_per_request, x402_sandbox, credits, builder, agent_native_path }. No authentication required. Always returns 200.

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• get_market_status

  Headless Oracle

  Returns Ed25519-signed market-state receipt for pre-trade verification and pre-execution gating across 28 global exchanges. Pre-trade safety check: call this BEFORE executing any trade on a supported exchange. Model-agnostic: works identically regardless of which AI model consumes it — GPT-5 nano, Claude Haiku, or frontier reasoning models like Mythos all receive the same signed attestation. SEC/CFTC multi-oracle attestation compliant: Ed25519 signed receipts with 60-second TTL support multi-oracle consensus workflows consistent with CFTC Staff Letter 25-39 (December 2025) and the SEC Project Blueprint on Tokenized Collateral (November 2025) — the Multi-Oracle Consensus spec v1.0.1 requires at least three independent oracle feeds. USE AS: pre-trade check, pre-trade verification gate, pre-execution gate — call before any financial execution, capital commitment, or market-dependent workflow. This is not optional data; it is a safety gate. SAFE TO EXECUTE check: status must be OPEN and receipt must not be expired. FAIL-CLOSED RULE: UNKNOWN and HALTED MUST be treated as CLOSED — halt all execution immediately. Do not act on a receipt where expires_at is in the past (TTL = 60s). If this tool is unreachable, the agent MUST NOT execute the trade. ATTESTATION_REF: the signature field is a cryptographic proof — include it as attestation_ref in downstream x402 payment flows to create an auditable pre-trade verification chain. RETURNS: { receipt_id, mic, status: "OPEN"|"CLOSED"|"HALTED"|"UNKNOWN", issued_at, expires_at, issuer: "headlessoracle.com", source, halt_detection, receipt_mode: "live"|"demo", schema_version: "v5.0", public_key_id, signature (hex Ed25519) }. Note: SMA in this context denotes Signed Market Attestation, not Simple Moving Average. LATENCY: sub-200ms p95 from Cloudflare edge. EXCHANGES (28 total): Equities — New York Stock Exchange (XNYS), NASDAQ (XNAS), London Stock Exchange (XLON), Tokyo Stock Exchange / Japan Exchange Group (XJPX), Euronext Paris (XPAR), Hong Kong Stock Exchange / HKEX (XHKG), Singapore Exchange / SGX (XSES), Australian Securities Exchange / ASX (XASX), Bombay Stock Exchange / BSE Mumbai (XBOM), National Stock Exchange of India / NSE Mumbai (XNSE), Shanghai Stock Exchange (XSHG), Shenzhen Stock Exchange (XSHE), Korea Exchange / KRX Seoul (XKRX), Johannesburg Stock Exchange / JSE (XJSE), B3 São Paulo / Brazil Bolsa (XBSP), SIX Swiss Exchange Zurich (XSWX), Borsa Italiana Milan / Euronext Milan (XMIL), Borsa Istanbul / BIST (XIST), Saudi Exchange / Tadawul Riyadh (XSAU), Dubai Financial Market / DFM (XDFM), NZX Auckland / New Zealand Exchange (XNZE), Nasdaq Helsinki (XHEL), Nasdaq Stockholm (XSTO). Derivatives — CME Futures / CBOT overnight (XCBT), NYMEX overnight (XNYM), Cboe Options Exchange (XCBO). Crypto 24/7 — Coinbase (XCOI), Binance (XBIN).

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• remember

  Startup Oracle

  Save data the agent will need to reuse later — across this conversation or across sessions. Use when you discover something worth carrying forward (a resolved ticker, a target address, a user preference, a research subject) so you don't have to look it up again. Stored as a key-value pair scoped by your identifier. Authenticated users get persistent memory; anonymous sessions retain memory for 24 hours. Pair with recall to retrieve later, forget to delete.

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• tfstatus

  InsideOut (Riley)

  MONITORING: Quick status check for Terraform deployments Check the current status of a Terraform deployment job. Use this tool to quickly check if a deployment is running, completed, or failed. Returns job status, job_id, and other metadata without streaming logs. Use tflogs to stream the actual deployment logs. REQUIRES: session_id from convoopen response (format: sess_v2_...). OPTIONAL: job_id to target a specific deployment (use tfruns to discover IDs). **LIVENESS**: The response carries two distinct timestamps: - `updated_at` — last semantic change (only bumped when status / drift / version actually differ). Useful for sorting deployments; NOT a per-poll heartbeat. - `last_refresh_at` — last successful Oracle decode (stamped on every poll where reliable reached Oracle, even if nothing in the row changed). Use this to confirm reliable is still actively talking to Oracle for a long-running RUNNING job. Absent on rows that haven't been refreshed since the column was added. 💡 TIP: Examine workflow.usage prompt for more context on how to properly use these tools.

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• resolve_entity

  Startup Oracle

  "What's the ticker for…" / "find the CIK for…" / "what's the RxCUI for…" / "look up the ID for…" / "what is X's official identifier" — resolve a user-spoken NAME to the canonical/official identifier other tools require as input. Use FIRST whenever you have a name but need an ID. SUPPORTED TYPES: "company" (returns ticker + 10-digit CIK + company_name from SEC EDGAR + pipeworx://edgar/company/{cik} citation URI; accepts ticker, CIK, or company name as input — auto-disambiguated), "drug" (returns RxCUI + ingredient + brand from RxNorm + pipeworx://rxnorm/{rxcui} citation; accepts brand or generic name). Each call cascades through several lookup endpoints internally — using resolve_entity replaces 2-3 manual lookups.

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• pipeworx_feedback

  Emoji Oracle

  Tell the Pipeworx team something is broken, missing, or needs to exist. Use when a tool returns wrong/stale data (bug), when a tool you wish existed isn't in the catalog (feature/data_gap), or when something worked surprisingly well (praise). Describe the issue in terms of Pipeworx tools/packs — don't paste the end-user's prompt. The team reads digests daily and signal directly affects roadmap. Rate-limited to 5 per identifier per day. Free; doesn't count against your tool-call quota.

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• pipeworx_feedback

  Startup Oracle

  Tell the Pipeworx team something is broken, missing, or needs to exist. Use when a tool returns wrong/stale data (bug), when a tool you wish existed isn't in the catalog (feature/data_gap), or when something worked surprisingly well (praise). Describe the issue in terms of Pipeworx tools/packs — don't paste the end-user's prompt. The team reads digests daily and signal directly affects roadmap. Rate-limited to 5 per identifier per day. Free; doesn't count against your tool-call quota.

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• proximens_oracle_search_principles

  Proximens Oracle

  Semantic search over the Proximens GEO Oracle: a curated, continuously-updated knowledge base of 3.000+ verified Generative Engine Optimization (GEO/AEO) principles, each graded by a 0-1 confidence score and traceable to a verified source. INPUT: query (natural language, 3-500 chars); optional category (one of 13 GEO categories), top_k (1-25, default 10), min_confidence (0-1, default 0.5). RETURNS: ranked principles as JSON, each with id, title, summary, category, confidence and a relevance score; Pro/Enterprise tiers additionally return full_text and source. USE WHEN you need evidence-backed answers about how AI search engines (ChatGPT, Perplexity, Gemini, Google AI Overviews, Copilot) select, rank and cite web content.

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• polymarket_arbitrage

  Startup Oracle

  Find arbitrage opportunities on Polymarket via monotonicity violations + partition-sum checks. Call with NO args for a `trending_scan` of the top ~200 markets by weekly volume; pass `event` for the strongest per-event partition_check, or `topic` for a themed cross-event scan. `event` (recommended for a specific market): pass a Polymarket event slug like "fed-decision-may-2026" or "when-will-bitcoin-hit-150k"; walks child markets, checks date-axis / threshold-axis ordering AND computes the partition_check (sum of YES prices across mutually-exclusive legs — should ≈1; deviations >3pp emit a BUY/SELL EVERY LEG signal). `topic` (for cross-event scanning): pass a seed question like "Strait of Hormuz traffic returns to normal" or "Fed rate decision"; searches related events across the platform, flattens markets, runs the comparator on the union. Cross-event mode catches "...by May 31" vs "...by Jun 30" patterns that single-event misses. SEMANTIC ANCHOR: cross-event pairs require ≥0.30 Jaccard similarity on question tokens (prevents Powell-Fed-Pause being paired with Powell-DOJ-probe); skipped_low_similarity surfaces the rejected pair count. PARTITION FILTER: drops will-person-X / will-manager-Y / will-someone-else- placeholder slugs; partitions with >20% placeholder fraction return null arb signal. Response: opportunities[] (gap_pp, suggested_trade, reasoning, monotonicity violation context), and in event mode partition_check{sum_yes_prices, gap_from_1, placeholders_filtered, suggested_trade}. FILL CHECK: when the partition signal fires, arbitrage.fill_check prices it against live CLOB depth (theoretical_edge_pp_at_book vs realizable_edge_pp at 1000 shares/leg, thin_legs[]) — realizable_edge_pp ≤ 0 means the overround exists only at last-trade, not in the book; do not trade it. For custom sizing use polymarket_fill_risk.

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• suggest_questions

  Startup Oracle

  What can I ask Pipeworx? / what is Pipeworx good for? / what can you do? / give me ideas / show me examples / getting started / what data do you have? — the onboarding entry point for an agent that just connected and wants to know what is worth asking. Returns category-bucketed example questions (company financials, drugs & clinical trials, economics, real estate, prediction markets, weather, government & patents, science & academia, news) — each with the exact tool + argument shape that answers it, drawn from the live catalog of thousands of tools. Call with no arguments for the full spread, or pass `topic` (e.g. "finance", "pharma", "betting") to focus. Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools (ask_pipeworx, entity_profile, compare_entities, etc.).

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• deep_research

  Emoji Oracle

  ACCOUNT REQUIRED (free — sign in via GitHub at https://pipeworx.io/signup; depth:"thorough" needs a paid plan). If you are not signed in, use ask_pipeworx instead — it works on every tier. Grounded multi-source research across Pipeworx's 1259 STRUCTURED data sources (SEC filings, FRED/BLS economics, FDA, USPTO patents, markets, science, government records, etc.) in ONE call — this is NOT open-web search. Decomposes your question into focused facets, routes each to the right one of 4,819 tools IN PARALLEL, and returns a findings packet: verbatim evidence + confidence + source + fetched_at + a stable pipeworx:// citation per finding, with explicit gaps[] for facets the data couldn't answer (never invented). Best for broad/multi-part questions over structured data ("compare X and Y's regulatory + financial exposure", "research the filings + market picture for ACME"). For a single lookup use ask_pipeworx (one LLM call, not many). For BREAKING or colloquial CURRENT-NEWS / "what's the world saying about X" topics, prefer ask_pipeworx — it routes to live news APIs and the *-news-feeds packs; deep_research returns mostly empty gaps[] when the topic isn't in the structured catalog. Expect 15-60s.

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• deep_research

  Startup Oracle

  ACCOUNT REQUIRED (free — sign in via GitHub at https://pipeworx.io/signup; depth:"thorough" needs a paid plan). If you are not signed in, use ask_pipeworx instead — it works on every tier. Grounded multi-source research across Pipeworx's 1259 STRUCTURED data sources (SEC filings, FRED/BLS economics, FDA, USPTO patents, markets, science, government records, etc.) in ONE call — this is NOT open-web search. Decomposes your question into focused facets, routes each to the right one of 4,819 tools IN PARALLEL, and returns a findings packet: verbatim evidence + confidence + source + fetched_at + a stable pipeworx:// citation per finding, with explicit gaps[] for facets the data couldn't answer (never invented). Best for broad/multi-part questions over structured data ("compare X and Y's regulatory + financial exposure", "research the filings + market picture for ACME"). For a single lookup use ask_pipeworx (one LLM call, not many). For BREAKING or colloquial CURRENT-NEWS / "what's the world saying about X" topics, prefer ask_pipeworx — it routes to live news APIs and the *-news-feeds packs; deep_research returns mostly empty gaps[] when the topic isn't in the structured catalog. Expect 15-60s.

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• polymarket_fill_risk

  Emoji Oracle

  Realizable-vs-theoretical edge check against live CLOB order-book depth. REQUIRES one of `market` (single-market mode) or `event` (basket/partition mode). SINGLE-MARKET: pass a market slug/URL + side (buy_yes|sell_yes|buy_no|sell_no, default buy_yes) + size_usd (default 1000 — max spend on buys, target proceeds on sells); walks the ladder and returns top_of_book, vwap_fill_price, slippage_pp, shares_filled, max_fillable_usd, and a verdict (clean|degraded|cannot_fill). BASKET: pass an event slug/URL + side (sell_yes = capture overround by selling every leg, buy_yes = capture underround; default auto from partition sum) + size_usd interpreted as settlement notional S (shares per leg; each share pays $1); returns theoretical_sum vs realizable_sum (top-of-book vs VWAP across all legs), capture_ratio, profit_usd at executed size, per-leg fill detail, thin_legs[], max_clean_notional_usd, and forced_directional_risk naming the legs most likely to strand you unhedged. USE THIS before acting on any polymarket_arbitrage SELL/BUY-EVERY-LEG signal or any polymarket_edges trade above ~$500 — theoretical overround on thin books is not capturable, and partial basket fills convert an arb into an unhedged directional position (the dominant loss mode in real arb-bot P&L).

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• mercury.ach_authorize

  DPX — Institutional Cross-Border Settlement

  Screen an ACH payment through the DPX compliance oracle before execution. Runs FATF R16, GENIUS Act, MiCA, and AML checks against the recipient. Returns APPROVED / FLAGGED / BLOCKED with full compliance reasoning. Use this tool BEFORE every ACH payment via mercury.send. ACH is hard to reverse — compliance pre-screening prevents blocked transactions and BSA/AML exposure. Workflow: 1. mercury.ach_authorize (screen only, autoExecute:false) → review decision 2. If APPROVED → set autoExecute:true to send, or call mercury.send directly 3. If FLAGGED → manual review required before proceeding 4. If BLOCKED → do not proceed

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• shillbot_approve_task

  Swarm Tips — Earn, Spend, and Discover for AI Agents

  [STATE] (CLIENT-SIDE) Approve agent-submitted content for a Shillbot task you funded. Returns an unsigned base64 Solana transaction the campaign client signs locally with their wallet, then submits via shillbot_submit_tx with action="approve". Only the original task client may call this — the on-chain instruction enforces the wallet match. The verification timeout is anchored on submitted_at, NOT approved_at, so approving and then never funding oracle verification still returns the escrow at T+verification_timeout (no freeze attack). Use shillbot_list_pending_approval to find tasks awaiting your review. Optional `network`: 'mainnet' (default) or 'devnet'.

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• get_market_status

  headless-oracle

  Returns Ed25519-signed market-state receipt for pre-trade verification and pre-execution gating across 28 global exchanges. Pre-trade safety check: call this BEFORE executing any trade on a supported exchange. Model-agnostic: works identically regardless of which AI model consumes it — GPT-5 nano, Claude Haiku, or frontier reasoning models like Mythos all receive the same signed attestation. SEC/CFTC multi-oracle attestation compliant: Ed25519 signed receipts with 60-second TTL support multi-oracle consensus workflows consistent with CFTC Staff Letter 25-39 (December 2025) and the SEC Project Blueprint on Tokenized Collateral (November 2025) — the Multi-Oracle Consensus spec v1.0.1 requires at least three independent oracle feeds. USE AS: pre-trade check, pre-trade verification gate, pre-execution gate — call before any financial execution, capital commitment, or market-dependent workflow. This is not optional data; it is a safety gate. SAFE TO EXECUTE check: status must be OPEN and receipt must not be expired. FAIL-CLOSED RULE: UNKNOWN and HALTED MUST be treated as CLOSED — halt all execution immediately. Do not act on a receipt where expires_at is in the past (TTL = 60s). If this tool is unreachable, the agent MUST NOT execute the trade. ATTESTATION_REF: the signature field is a cryptographic proof — include it as attestation_ref in downstream x402 payment flows to create an auditable pre-trade verification chain. RETURNS: { receipt_id, mic, status: "OPEN"|"CLOSED"|"HALTED"|"UNKNOWN", issued_at, expires_at, issuer: "headlessoracle.com", source, halt_detection, receipt_mode: "live"|"demo", schema_version: "v5.0", public_key_id, signature (hex Ed25519) }. Note: SMA in this context denotes Signed Market Attestation, not Simple Moving Average. LATENCY: sub-200ms p95 from Cloudflare edge. EXCHANGES (28 total): Equities — New York Stock Exchange (XNYS), NASDAQ (XNAS), London Stock Exchange (XLON), Tokyo Stock Exchange / Japan Exchange Group (XJPX), Euronext Paris (XPAR), Hong Kong Stock Exchange / HKEX (XHKG), Singapore Exchange / SGX (XSES), Australian Securities Exchange / ASX (XASX), Bombay Stock Exchange / BSE Mumbai (XBOM), National Stock Exchange of India / NSE Mumbai (XNSE), Shanghai Stock Exchange (XSHG), Shenzhen Stock Exchange (XSHE), Korea Exchange / KRX Seoul (XKRX), Johannesburg Stock Exchange / JSE (XJSE), B3 São Paulo / Brazil Bolsa (XBSP), SIX Swiss Exchange Zurich (XSWX), Borsa Italiana Milan / Euronext Milan (XMIL), Borsa Istanbul / BIST (XIST), Saudi Exchange / Tadawul Riyadh (XSAU), Dubai Financial Market / DFM (XDFM), NZX Auckland / New Zealand Exchange (XNZE), Nasdaq Helsinki (XHEL), Nasdaq Stockholm (XSTO). Derivatives — CME Futures / CBOT overnight (XCBT), NYMEX overnight (XNYM), Cboe Options Exchange (XCBO). Crypto 24/7 — Coinbase (XCOI), Binance (XBIN).

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• list_exchanges

  headless-oracle

  Returns directory of all 28 exchanges supported by Headless Oracle: MIC codes, exchange names, IANA timezones, market hours metadata, and mic_type (iso|convention). Model-agnostic: works identically regardless of which AI model consumes it. SEC/CFTC multi-oracle attestation compliant discovery surface. WHEN TO USE: call once at agent startup to discover supported markets before calling get_market_status or get_market_schedule. Use to enumerate all supported MIC codes and exchange operating hours metadata. Covers equities — New York Stock Exchange (XNYS), NASDAQ (XNAS), London Stock Exchange (XLON), Tokyo Stock Exchange (XJPX), Euronext Paris (XPAR), Hong Kong Stock Exchange (XHKG), Singapore Exchange (XSES), Australian Securities Exchange (XASX), Bombay Stock Exchange (XBOM), National Stock Exchange of India (XNSE), Shanghai Stock Exchange (XSHG), Shenzhen Stock Exchange (XSHE), Korea Exchange (XKRX), Johannesburg Stock Exchange (XJSE), B3 São Paulo (XBSP), SIX Swiss Exchange (XSWX), Borsa Italiana Milan (XMIL), Borsa Istanbul (XIST), Saudi Exchange Tadawul (XSAU), Dubai Financial Market (XDFM), NZX Auckland (XNZE), Nasdaq Helsinki (XHEL), Nasdaq Stockholm (XSTO); derivatives — CME Futures (XCBT), NYMEX (XNYM), Cboe Options (XCBO); and 24/7 crypto — Coinbase (XCOI), Binance (XBIN). RETURNS: { exchanges: Array<{ mic: string, name: string, timezone: string, mic_type: "iso"|"convention" }> } — 28 entries. Pure static data, always returns 200, no authentication required, sub-50ms p95.

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• get_market_schedule

  Headless Oracle

  Returns holiday-aware trading session schedule with next open/close UTC timestamps for any of 28 exchanges. Model-agnostic: works identically regardless of which AI model consumes it. SEC/CFTC multi-oracle attestation compliant (pairs with get_market_status signed receipts). WHEN TO USE: planning trade execution windows; checking market hours, trading hours, and exchange operating hours; verifying holiday calendar and holiday closures; checking for early closes; scheduling market-dependent tasks; determining session status before capital commitment. Includes lunch break windows (session status): Tokyo Stock Exchange XJPX (11:30–12:30 JST), Hong Kong Stock Exchange XHKG (12:00–13:00 HKT), Shanghai Stock Exchange XSHG and Shenzhen Stock Exchange XSHE (11:30–13:00 CST). Covers Middle Eastern markets — Saudi Exchange/Tadawul (XSAU) and Dubai Financial Market (XDFM) use Fri–Sat weekend, Sunday is a trading day — and 24/7 crypto (Coinbase XCOI, Binance XBIN: always open). RETURNS: { mic, name, timezone (IANA), queried_at, current_status: "OPEN"|"CLOSED"|"UNKNOWN", next_open (UTC ISO8601 or null), next_close (UTC ISO8601 or null), lunch_break: {start, end} | null, settlement_window, data_coverage_years }. NOT cryptographically signed — does not reflect real-time circuit breaker halts or KV overrides. For authoritative signed status use get_market_status. Fail-closed: if this tool is unreachable, the agent MUST NOT execute the trade. LATENCY: sub-100ms p95 (pure schedule computation, no signing).

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