"The Guardian" matching MCP tools:

• pipeworx_feedback

  Take The Meeting

  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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• discover_tools

  The Guardian

  Find tools by describing the data or task. Use when you need to browse, search, look up, or discover what tools exist for: SEC filings, financials, revenue, profit, FDA drugs, adverse events, FRED economic data, Census demographics, BLS jobs/unemployment/inflation, ATTOM real estate, ClinicalTrials, USPTO patents, weather, news, crypto, stocks. Returns the top-N most relevant tools with names, descriptions, and full input schemas (with curated examples) — each result is ready to call directly, no second schema lookup needed. Call this FIRST when you have many tools available and want to see the option set (not just one answer).

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• recent_changes

  The Guardian

  "What's new with X" / "latest on Y" / "what happened to Z this week / month / quarter" / "updates on Acme" / "news on Tesla recently" / "what's happening with Apple" — change feed for a company in the last N days/weeks/months in ONE parallel call. Fans out to SEC EDGAR (filings since `since`), GDELT→GNews fallback (news mentions in window — GDELT preferred, GNews when rate-limited or 5xx), USPTO (patents granted; PatentsView API sunset May 2025 so this soft-fails until reactivated). `since` accepts ISO date ("2026-04-01") or relative shorthand ("7d", "30d", "3m", "1y"). Returns structured changes[] grouped by source + total_changes count + pipeworx:// citation URIs. Use entity_profile instead when you want the static profile (filings + fundamentals + LEI + patents) regardless of window.

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• prepare_swap_eth_for_floor

  the-floor

  Build the UNSIGNED Uniswap V3 swap that buys FLOOR with WETH (exactInputSingle). Full buy flow is 3 signed steps: (1) prepare_wrap_eth, (2) approve WETH to the router [included as approveWeth when `from` is given and allowance is short], (3) this swap. amountOutMinimum is computed from the LIVE pool price minus your slippage, so you are protected from a bad fill — but VERIFY the numbers before signing; this spends real money and the pool is thin. Selling FLOOR for ETH is the reverse and not built here.

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• generate_booking_link

  The Hill Kinabalu Rooms

  Generate a verified The Hill Kinabalu checkout link only after the guest has supplied room_slug, check_in_date, check_out_date, and total_pax. Use a room_slug returned by check_room_availability. Never invent or calculate nights, room quantity, rates, totals, funnelSessionId, or visitorId: this tool validates availability and derives all of them on the server. If any required value is missing, invalid, or the selected room is unavailable, no checkout link is returned. This creates no booking and holds no inventory.

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• emem_recall

  emem, the verifiable memory protocol for the physical world

  Read the signed facts at a canonical address (cell64); auto-materializes on a miss for any band with a registered materializer. A fact_cid names one signed attestation, so a recalled fact is citeable and re-verifiable rather than a paraphrase: resolving it anywhere returns those exact bytes. It is NOT a fingerprint of the observation. The digest covers the responder's key and the moment it signed, so two responders that measure the same thing mint different fact_cids and a cid resolves only at the responder that signed it; use emem_entity for identity that crosses responders. Pass `deterministic:true` (or a `provenance` class list) to keep only facts recomputable from the cited raw source, with no model or human in the loop. In the memory algebra this is ensure(cell, bands), not get: state what must exist and the responder reuses or materializes. When to use: Call after `emem_locate` (or with a known cell64). Returns every Primary fact stored at that (cell, band, tslot). IMPORTANT: if the cell has no fact yet for a requested band AND that band has `has_materializer=true` (per `emem_coverage_matrix` / `emem_materializers`), the responder fetches the upstream value, signs it under its identity, persists it, and returns it in the same response (slower on the first call while the upstream is fetched; fast once cached). So for any wired band you can recall ANY cell on Earth without seeding, just pass `bands: [<band>]`. The response carries `materialize_notes` listing what was just fetched. Empty result with no notes means the band has no materializer at this responder. Example arguments: {"cell":"damO.zb000.xUti.zde78","bands":["weather.temperature_2m","copdem30m.elevation_mean"]}

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• pipeworx_feedback

  The Graph

  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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• update_site_html

  WebZum - The Hosting Layer for AI-Generated Web Content

  Edit a generated WebZum site by describing the change in natural language. This is the primary editor tool. Given a user instruction (in conversationHistory), the WebZum editor builds the minimal site tree, sends it to an LLM with the user's verbatim words, applies the returned HTML diff across every page that contains each affected section, and reassembles into a new version. Use this for nearly all edits: "make the hero say X", "remove the testimonials section", "change the about-us copy to be friendlier", "swap the order of the sections on the home page". Required: businessId, versionId, and a conversationHistory containing at least one user turn. The LLM reads the user's verbatim words — do not paraphrase. Returns { versionId, status: 'completed' | 'in_progress', ...extra }. If status is 'in_progress', the edit is still running in the background — poll get_site_status with the returned versionId every 5-10s until isComplete is true. Concurrency: edits on the same businessId MUST be serial. Never fire parallel edit calls on the same site; concurrent edits race and may return the wrong versionId. Wait for each edit to complete (status: 'completed' OR isComplete on get_site_status) before issuing the next one.

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• regenerate_header

  WebZum - The Hosting Layer for AI-Generated Web Content

  Regenerate the header (nav bar, logo placement, top-of-page) of a WebZum site. Creates a new version with a fresh AI-generated header and reassembles every page. Use when the user wants the nav restyled, links reordered, or the header redesigned. Required: businessId, versionId, pageId. Returns { versionId, status: 'completed' | 'in_progress', ...extra }. If status is 'in_progress', poll get_site_status with the returned versionId every 5-10s until isComplete is true. Concurrency: edits on the same businessId MUST be serial. Never fire parallel edit calls on the same site.

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• regenerate_logo

  WebZum - The Hosting Layer for AI-Generated Web Content

  Regenerate the logo for a WebZum site using AI. Creates a new version with a fresh logo and reassembles. Use the optional userMessage to steer the design — "make it more minimal", "use a serif typeface", "incorporate a coffee bean shape", etc. Required: businessId, versionId, pageId. Returns { versionId, status: 'completed' | 'in_progress', ...extra }. If status is 'in_progress', poll get_site_status with the returned versionId every 5-10s until isComplete is true. Concurrency: edits on the same businessId MUST be serial. Never fire parallel edit calls on the same site.

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• regenerate_image

  WebZum - The Hosting Layer for AI-Generated Web Content

  Regenerate one image inside a specific section of a WebZum site. Creates a new version with a freshly AI-generated image for that section and reassembles. Use the optional userMessage to steer the new image — "show a wider shot", "change the angle", "make it sunset lighting", etc. Required: businessId, versionId, sectionId. Returns { versionId, status: 'completed' | 'in_progress', ...extra }. If status is 'in_progress', poll get_site_status with the returned versionId every 5-10s until isComplete is true. Concurrency: edits on the same businessId MUST be serial. Never fire parallel edit calls on the same site.

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• polymarket_arbitrage

  The Guardian

  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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• polymarket_kalshi_spread

  The Guardian

  Cross-venue spread between Kalshi and Polymarket for the same resolving question. The two venues sometimes price the same outcome 2-25pp apart because their participant pools differ — when the bet shapes are equivalent that delta is a real signal, when they aren't the tool says so. TWO MODES: (1) `topic` — 10 pre-mapped macro shortcuts ("fed", "btc", "cpi", "gdp", "sp500", "recession", "next_pope", "next_uk_pm", "next_israel_pm", "2028_president") auto-fetch the matching event on each venue. (2) explicit `kalshi_event_ticker` + `polymarket_event_slug` for custom pairings. RESPONSE: each venue's leg-by-leg prices (raw probability 0-1) plus matched spread[].top_spreads_pp (Kalshi − Polymarket) where the same outcome shows up on both sides. SAFETY FIELDS: compatibility_warning fires in two cases — (a) matched_pairs:0 with skipped_cross_type>0 means the venues frame the topic with non-equivalent bet shapes (e.g. Kalshi range_bucket point-in-time vs Polymarket cumulative_threshold touch-anywhere — no arb exists), (b) matched_pairs:0 with skipped_cross_type:0 and both venues >5 legs means the token-overlap matcher found nothing in common — events likely semantically unrelated despite the topic keyword. temporal_alignment{polymarket_month,kalshi_month,aligned} tells you whether the two events resolve in the same calendar period; aligned:false means spreads are mathematically meaningless across the temporal gap. skipped_cross_type / skipped_cross_subtype counters expose how many leg-pair comparisons were dropped (cross-type = metric_type mismatch like MoM vs YoY; cross-subtype = inequality mismatch like cum_ge vs cum_le). Real cross-venue spreads are rarer than the macro-shortcut list suggests — most pre-mapped topics return compatibility_warning today; pre-mapped ≠ tradeable.

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• pipeworx_trending

  The Guardian

  What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice before asking your own question, (3) seeing whether your use case aligns with what most agents need. Self-aggregating signal — derived from CF analytics-engine, no PII, just (pack, tool, count). Cached 5min-1h depending on window.

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• search_within

  The Graph

  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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• deep_research

  The Guardian

  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 1350 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 5,132 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. Second-hop iteration: depth:"standard" re-angles unanswered gaps (gap recovery); depth:"thorough" additionally chases the best leads from the first pass — so multi-step questions resolve in one call. Every finding carries a `hop` field and a citation_uri (record-level pipeworx:// when the source emits one, else source-level). "standard" and "thorough" also return contradictions[] flagging findings that disagree. Large records are semantically excerpted to the passages relevant to each facet (not head-truncated), so answers deep in a long filing/series aren't missed. Expect 15-60s (thorough with its follow-up + contradiction pass: up to ~90s).

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• thread.submit_delivery

  Setix: the Clearinghouse for the AI Economy

  Seller-side: submit completed work. Bridge builds and signs the COSE_Sign1 Delivery document internally. Use thread.poll_delivery with bid_id_hex to find acceptance_id_hex after the buyer accepts. THE DELIVERY CONTRACT (read once): the offer's input_data is the full spec and the BUYER'S OWN MODEL judges your delivery against EVERY acceptance criterion — meet all of them or expect a dispute. Inline text goes in `output`; a non-text/file artifact goes via `output_uri` at an INDEPENDENTLY-FETCHABLE URL (content-addressed HTTPS / ipfs:// / ar://) with output_hash_hex = sha256(bytes). No hosting? Use the platform's ENCRYPTED DELIVERY STORE (store.setix.dev on devnet; §23.3): upload ciphertext, pass setix-store://<obj_key> + output_key_wrap_hex — /skills/03-trade-seller.md Step 4 has the full flow. Never paste an artifact into a third-party plaintext paste site. DELIVERY ≠ PAYMENT: submitting starts the buyer's settle-or-dispute window; you are paid when the buyer settles (or the window auto-releases), and a deficient delivery gets disputed — poll_delivery.seller_paid is the honest paid signal. Need more time instead? thread.propose_delivery_extension (§13.7b) beats defaulting. KEYLESS (build_doc) PATH: thread.build_doc(submit_delivery) needs acceptance_id_hex + output (or the setix-store:// trio) — buyer_id resolves from the bridge's escrow row for that acceptance (client-passed buyer_id_hex is derived from the bridge's ledger and ignored if passed), the store-branch rules and the hollow_delivery reject apply identically, and output_hash_hex is honored only on the setix-store:// path (otherwise the bridge hashes output itself). Echo the returned delivery_id_hex on the submit. build_doc(submit_delivery) requires a resolvable escrow row (legible escrow_not_found otherwise). Returns {accepted, delivery_id_hex, output_hash_hex, agent_id_hex, chain_result}.

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• emem_tools

  emem, the verifiable memory protocol for the physical world

  The map of emem's tool surface, and the only tool you need to find the rest. Returns the working loop in the order you walk it (name a thing, ground it, cite it, resolve it, verify it, check for drift), then every other tool grouped by the question it answers, each with its one-line trigger. Pass `name` to get one tool's full input schema and a runnable example, so you can use a tool without loading all of the descriptors into context. This endpoint advertises the core loop only; the Earth-observation, search, embedding and log tools are catalogued here and remain callable by name. When to use: Call this FIRST when you do not know which emem tool answers the question, or when you need a capability you cannot see in your tool list. This responder advertises a small core loop by default rather than its full catalog, so a tool being absent from your list does not mean it is absent from the server. Pass `q` to search by topic (`ndvi`, `cloud`, `flood`, `verify`), `name` for one tool's exact schema, or no arguments for the whole map. If you want the full catalog registered as callable tools instead, reconnect to the /mcp/full endpoint; for a one-shot answer without picking a primitive at all, use emem_ask. Example arguments: {"q":"ndvi"}

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• get_swap_info

  the-floor

  Everything needed to swap ETH↔FLOOR on Robinhood Chain: the Uniswap V3 router, WETH address, the FLOOR/WETH pool and its 1% fee tier, and the LIVE spot price (FLOOR per ETH) read from the pool. Note the pool is thin (~tens of $k liquidity) so large buys move the price hard — size accordingly. Read this before prepare_swap_eth_for_floor, or to construct/verify a swap yourself.

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• update_contact

  WebZum - The Hosting Layer for AI-Generated Web Content

  Update a WebZum site's universal contact fields — phone, email, WhatsApp, the primary contact channel, address, hours — OR the business/brand name. Use this (NOT update_site_html) for these fields: it updates the canonical business record AND sweeps every page, so contact-form delivery, tel:/mailto:/wa.me links, header, footer, page titles, and body copy all stay in sync. WhatsApp: pass an instruction like "add my WhatsApp +966 55 123 4567" (keep the country code) to render a wa.me click-to-chat button site-wide, or "make WhatsApp the main way to reach us" to set it as the primary CTA. Required: businessId, versionId, and a conversationHistory containing at least one user turn describing the change verbatim. Do NOT use for general copy/layout edits (use update_site_html) — this tool only touches contact fields + the business name. Returns { versionId, status: 'completed' | 'in_progress', ...extra }. If status is 'in_progress', poll get_site_status with the returned versionId every 5-10s until isComplete is true. Concurrency: edits on the same businessId MUST be serial.

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