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Translate a PDF from a URL while preserving the original layout — formulas, figures and two-column academic typesetting stay intact, unlike ordinary translators that flatten the document. Returns a job_id; poll check_job for the download links (translated-only and bilingual side-by-side). Typically 20-60 seconds for a few pages. Powered by PDFMathTranslate (36k stars) hosted at AI NetCafé.

Parse a CVSS v3.x vector string into a per-metric breakdown plus a recomputed base score. Returns the canonicalized vector, version (3.0 or 3.1), base_score, base_severity (NONE/LOW/MEDIUM/HIGH/CRITICAL), and the eight base metrics: attack_vector (NETWORK/ADJACENT_NETWORK/LOCAL/PHYSICAL), attack_complexity (LOW/HIGH), privileges_required (NONE/LOW/HIGH), user_interaction (NONE/REQUIRED), scope (UNCHANGED/CHANGED), and the three impact metrics confidentiality_impact / integrity_impact / availability_impact (NONE/LOW/HIGH each). When temporal/environmental metrics are explicit in the vector, temporal_score and environmental_score are populated separately. Use to translate raw CVSS strings into agent-friendly attributes without re-parsing the vector grammar yourself, and to verify upstream NVD scoring against the recomputed value. v2 vectors (AV:N/AC:L/Au:N/...) are rejected with 400 — read cvss_v2_vector from cve_lookup if you need v2 detail. Free: 30/hr, Pro: 500/hr. Returns {version, vector, base_score, base_severity, metrics: {attack_vector, attack_complexity, privileges_required, user_interaction, scope, confidentiality_impact, integrity_impact, availability_impact}, temporal_score, environmental_score, summary, verdict}.

RETURNS A LIST OF BOOKS (works on a topic) — NOT passages. PICK THIS to discover which works exist on a subject. → For quotable text use search_translations (exact words) or search_concept (by meaning); if the user already named an author/work, call get_book directly (or list_books to find the ID) — the AI summary + chapter outline is usually the right first answer. Searches titles, authors, subjects, and (as a secondary signal) translated text. Query tips: single distinctive words or short phrases work best ("memory palace", "ouroboros"); quoted phrases match exactly. Each result includes total_matches (full count) + returned (this page) + offset for pagination.

Use this when you need to author a variable-section sweep along a spine. Insert a `variableSweep(spine, sections, opts?)` declaration into the user's .kcad.ts immediately before the last top-level return. The result is a Shape — chain `.translate(...)`, `.union(...)`, etc. via `add_feature`. `spine_binding` references an existing variable (Curve3D / Sketch / Vec3[]) in the source; each `sections[i].profile_binding` references an existing Sketch. Sections must be strictly increasing in `t` and span [0, 1]; first t=0, last t=1. Orientation is not exposed by this MCP tool until runtime orientation support is wired. Validates every binding exists in the source via regex before inserting (fast structured error vs capture-time stack). Returns the modified code + diagnostics. Side-effect-free.

Translates audio into English.

Get players available to acquire in the specified fantasy league, optionally filtered by position. This is fantasy-league availability, not professional-contract status. ESPN percentOwned/percentStarted are the percentages of all ESPN leagues where the player is rostered/started, not the share of rostered teams that start him. Yahoo percentOwned, when present, is Yahoo-wide; none is ownership within the selected league, and Sleeper provides no percentage. Label every reported percentage as an ESPN-wide roster/start rate or Yahoo-wide market rate. If a rate is missing, write "[Provider] market ownership rate: not provided"; do not repeat response field names or null values, call get_players, or offer a lookup. team/proTeam is the real-life club (FA means the provider lists no current pro team). Only ESPN status/waiverProcessDate represents fantasy acquisition state here. Call Yahoo/Sleeper rows "available players," never specifically free agents or waivers, and do not promise an immediate add. A returned player is already confirmed available in that league. For a returned list or field explanation, end after the requested facts—never add an "if you want" offer, qualitative ranking, recommendation, role, health, trend, or outlook. Translate ESPN status codes silently into plain language; never print raw codes such as FREEAGENT or WAIVERS. Use current web evidence before adding analysis or pickup recommendations. Follow get_user_session then get_league_info for the selected league; fan out once per league for comparisons. Use get_roster for a separate player-ownership question. Requires authentication on ESPN/Yahoo; Sleeper uses the public API. Read-only. Current date is 2026-07-30.

Create a shareable Word Aligner diagram that shows which words match across two or more stacked lines of text (a translation and its source, an interlinear gloss, IPA, etc.). Returns a URL that opens the interactive diagram, plus a preview image. Use this when the user wants to translate a phrase and show word correspondences, align a translation with its source (including RTL scripts like Hebrew or Arabic), or build a Leipzig-style interlinear gloss. Word indices are 0-based token positions. Tokenize each line the same way the tool does before assigning indices: - Whitespace always splits ("I have been going" -> I[0] have[1] been[2] going[3]). - The characters in settings.tokenSplitChars (default ".-|") also split and are then removed from the rendered text, so "go.PST.IPFV" becomes three tokens (go, PST, IPFV) and the dots disappear. For Leipzig glosses set tokenSplitChars to "-|" to keep the dots. - Punctuation stays attached by default ("Hello, world!" -> Hello,[0] world![1]). - In RTL lines, word 0 is the logically first word (rightmost on screen); index in reading order. Each alignment is [lineA, wordA, lineB, wordB]; the two lines must be vertically adjacent (|lineA - lineB| = 1). To express many-to-one, list each target word as its own tuple. Tokens that share a connection group get the same color automatically.

Search packs by keyword across names, descriptions, and tools (e.g., 'weather', 'translate'). Returns matching packs with details. Use to find specific capabilities.

Translate a PPTX deck preserving all formatting. $0.02/slide. Supports 32 languages (Latin, Cyrillic, Greek scripts). Provide job_id (from a previous create_slide/create_deck), pptx_url, or pptx_base64.

Upload a logo, theme PPTX, image, or document — or AI-generate an image. Purposes: • logo — company logo for chrome (PNG/JPG/SVG, max 5MB) → logo_id • image — image for the Image component (max 10MB) → asset_id • theme — company template PPTX → theme_id; slides with it render NATIVELY on the template (masters/layouts/chrome) • generate_image — AI-generate via `prompt` → asset_id ($0.05) • translate — PPTX to translate → deck job_id ($0.02/slide; requires `target_language`) • pdf — PDF → editable slides; pass `target_language` to also translate For files >3MB on purpose=pdf, purpose=translate, or purpose=theme, omit `data` — a drop-zone appears in the result card and bytes never pass through the agent.

Translate a document into another language with the original layout and formatting preserved (DOCX, PPTX, XLSX, PDF, TXT, MD, SRT, VTT). The job runs immediately and returns a FREE preview of the first pages plus a secure Stripe checkout link — the full translated file unlocks after payment ($4.99, one-time, no account needed). Provide EITHER source_url OR base64_content, plus a filename with extension.

Describe what you want done to a file in plain language — e.g. "translate this contract to German", "pull every table out of this PDF into Excel", "shrink this video to under 25MB", "convert this to PDF". The instruction is routed to the right job automatically; if the request is not supported yet you get an honest explanation of what is. Provide EITHER source_url OR base64_content, plus a filename with extension.

Check the status of a previously submitted file job (translate_file, extract_tables, compress_file). Returns the current status, preview + checkout link for completed paid jobs, or the download URL for completed free/paid-and-unlocked jobs.

Anchor agentic tool for Cat-12. Translate AML/BSA program controls, TM rules, and customer risk policy into a structured Policy Mandate JSON for agentic payment sy Browser-based, client-side only. Zero PII. Link users to https://ainumbers.co/tools/131-ap2-aml-mandate-builder.html for interactive use. Renders the interactive AINumbers tool as a widget; inputs are applied via the AIN Bridge and the tool runs client-side (zero PII, zero network).

Translate a plain-language question into a candidate SQL query using pattern-matching against the live schema (no AI model — simple questions only: counts, averages, filtered selects on a named table). Returns the SQL without executing it, with a confidence score; low confidence means the table was guessed. Review the statement and tables_used, then run it with scalix_db_query. For complex questions, read scalix_db_schema and write the SQL directly.

Use this free read-only discovery-tier tool when the user asks for help, available commands, MCP tools, core concepts, pricing, parser-stable fields, grants, x402, Morning Brief, Company Report, MSTR treasury review, perp adapters, SPECTRA, or examples. Parameters: optional topic, detail, include_examples, question, or query fields; callers may omit all arguments for overview help. Behavior: local and idempotent with no destructive side effects; it does not run paid analysis routes or expose internal-only tools. It translates natural-language orientation requests into the live DeltaSignal MCP/OpenAPI discovery contract and points users to tools/list, /v1/pricing, /v1/contract/fields, and /v1/readiness. It is not a trading, execution, or investment-advice tool and must not expose internal-only tools unless the live public contract lists them.

Register this agent on Agent Guild so others can find and vouch for you. Free, and you only need to do it once. Returns {id, did, api_key, capabilities, next_step}. SAVE the api_key — it is secret and signs every attestation you write. Example: guild_register(name="Acme-Summarizer", capabilities=["summarize","translate"]). If an offer led you here, pass its tag as `src` (e.g. src="passport_offer:mcp") so the follow is attributable. Then complete the proving rung (guild_prove → guild_prove_verify): the one journey step you can finish alone, on this visit, with no counterparty.

Real-time solar wind measurements from the active spacecraft at L1: proton speed (km/s), density (n/cm³), temperature (K), and the critical Bz component (southward Bz = negative = storm driver). Returns the recent plasma and magnetic field time series within the requested window, oldest first, each record tagged with the reporting spacecraft. Bz < −10 nT for sustained periods is a primary geomagnetic storm trigger — use alongside noaa_spaceweather_get_kp_index to see whether elevated solar wind has translated into a geomagnetic storm.

Create a Lightning invoice to pay for one AI service call. Returns JSON: { paymentId, invoice (BOLT11), amount (sats), expiresAt }. Each payment covers exactly one tool call — call this once per operation. Typical flow: list_models → create_payment → check_payment_status → call tool. The invoice expires in 10 minutes. Call list_models first to discover modelId values. modelId is optional — omit it to use the default (best) model. Some tools require extra params at payment time because pricing depends on them: generate_text requires prompt (price = f(char count)); text_to_speech requires text (price = f(char count) by tier); transcribe_audio / transcribe_translate take durationMinutes (10 sats/min — declare your audio length, default 1); send_sms, place_call, ai_call require phoneNumber; generate_video requires duration, mode, generate_audio; animate_image requires duration (100 sats/sec); edit_image requires resolution (1K=200, 2K=300, 4K=450 sats). If required params are missing, the response includes an error with the missing field names.

Compound endpoint — one payment turns audio in any of 13 source languages into both a transcript AND a translation in any of 119 target languages. Perfect for WhatsApp voice messages in a language you don't speak (Yoruba → English), or recording a meeting in another language and reading it in yours. Auto-detects source if omitted. Async — returns requestId, poll with check_job_status(jobType='transcribe-translate'). Flat price covers STT + translation. Cheaper than calling transcribe_audio + translate_text separately for typical voice messages. Pay with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='transcribe_translate'.

Translate text across 119 languages with high accuracy. Uses GPT-OSS 120B — top scorer in our multilingual translation evals with strong low-resource support. Auto-detects source language. Privacy-preserving: no data stored. Pricing: 1 sat per 1,000 characters, minimum 1 sat per request. Language parameters accept English names ('Spanish', 'Chinese (Simplified)') or ISO-639 codes / locale tags ('es', 'en-US', 'pt-BR', 'zh-Hans'). Supported languages: Afrikaans, Albanian, Amharic, Arabic, Armenian, Assamese, Azerbaijani, Basque, Belarusian, Bengali, Bosnian, Bulgarian, Burmese, Catalan, Cebuano, Chichewa, Chinese (Simplified), Chinese (Traditional), Corsican, Croatian, Czech, Danish, Dari, Dutch, English, Esperanto, Estonian, Farsi, Fijian, Filipino, Finnish, French, Frisian, Galician, Georgian, German, Greek, Guarani, Gujarati, Haitian Creole, Hausa, Hawaiian, Hebrew, Hindi, Hmong, Hungarian, Icelandic, Igbo, Indonesian, Irish, Italian, Japanese, Javanese, Kannada, Kazakh, Khmer, Kinyarwanda, Korean, Kurdish, Kyrgyz, Lao, Latvian, Lingala, Lithuanian, Luganda, Luxembourgish, Macedonian, Malagasy, Malay, Malayalam, Maltese, Maori, Marathi, Mongolian, Nepali, Norwegian, Occitan, Odia, Pashto, Polish, Portuguese, Punjabi, Romanian, Romansh, Russian, Samoan, Scots Gaelic, Serbian, Sesotho, Setswana, Shona, Sindhi, Sinhala, Slovak, Slovenian, Somali, Spanish, Sundanese, Swahili, Swedish, Tajik, Tamil, Tatar, Telugu, Thai, Tigrinya, Tongan, Turkish, Turkmen, Ukrainian, Urdu, Uzbek, Vietnamese, Welsh, Wolof, Xhosa, Yiddish, Yoruba, Zulu. Pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='translate_text' and prompt (the text to translate).

Translate into 452 languages, 251 of them NOT supported by ChatGPT, Claude or Gemini (29 of those 251 measured at fair quality or better against human references) — including Bhojpuri (~50M speakers), Maithili (~34M), Egyptian Arabic (~100M), Moroccan Arabic (~30M), Chhattisgarhi, Magahi, Manipuri, Kashmiri, Shan, Kachin, Awadhi, Tamazight, Crimean Tatar, Quechua, Nuer, Sango, plus indigenous and minority languages with no callable API anywhere. Runs MADLAD-400 (Apache-2.0). QUALITY VARIES AND IS PUBLISHED PER LANGUAGE: every language carries a measured tier — good (chrF++ >= 45 vs human reference translations), fair (32-45), unverified (no benchmark exists, untested, may be poor), experimental (known weak). The response repeats the tier so you can judge how much to trust it. GET https://sats4ai.com/api/l402/translate-rare-language for the full language list with tiers, or GET /api/languages. Unsupported languages are rejected BEFORE payment. For mainstream languages use translate_text instead — it is cheaper and more fluent. Priced 50 sats base + 0.002 sats/char (GPU). Pay with Bitcoin Lightning — no API key or signup. Requires create_payment with toolName='translate_rare_language'.

Get an exact sat cost quote for a service BEFORE creating a payment. Useful for budget-aware agents to price-check before committing. No payment required, no side effects. Pass service=text-to-speech&chars=1500, service=translate&chars=800, service=transcribe-audio&minutes=5, etc. Returns { amount_sats, breakdown, currency }. Omit params to see the full catalog of supported services.

Korean K-pop news (artists, groups, soloists, comebacks, music releases) aggregated from Naver and translated to English with AI relevance classification. Korean entertainment news often moves global fan markets before English coverage. 5-min cache. 💰 Price: $0.01 USDC per call 💳 Payment: x402 micropayment on Base, Polygon, or Solana 🔧 Client: AgentCash, Pay.sh, or any x402 SDK 📖 Docs: https://api.printmoneylab.com/.well-known/x402 Returns: results[] with title_en + summary_en + source_en plus original Korean (title_kr/source_kr) for verification, published_at, link. Args: limit: Number of articles to return (1-10, default 5)

Korean K-pop news plus AI synthesis. Same Naver-aggregated, English-translated articles as get_kr_news_kpop, with an added AI analysis layer: overall_sentiment, key_themes, trending_entities (artists/groups), and a paragraph summary. 5-min cache. 💰 Price: $0.05 USDC per call 💳 Payment: x402 micropayment on Base, Polygon, or Solana 🔧 Client: AgentCash, Pay.sh, or any x402 SDK 📖 Docs: https://api.printmoneylab.com/.well-known/x402 Returns: results[] (translated articles) plus ai_analysis with overall_sentiment, key_themes, trending_entities, summary_en. Args: limit: Number of articles to analyze (1-10, default 5)

Korean semiconductor industry news (Samsung Electronics, SK Hynix, HBM, DRAM/NAND, foundry, AI chips, equipment suppliers) aggregated from Naver and translated to English. Korean chip news leads global semiconductor supply-chain signals. 5-min cache. 💰 Price: $0.02 USDC per call 💳 Payment: x402 micropayment on Base, Polygon, or Solana 🔧 Client: AgentCash, Pay.sh, or any x402 SDK 📖 Docs: https://api.printmoneylab.com/.well-known/x402 Returns: results[] with title_en + summary_en + source_en plus original Korean (title_kr/source_kr) for verification, published_at, link. Args: limit: Number of articles to return (1-10, default 5)

Korean semiconductor news plus AI market synthesis. Same Naver-aggregated, English-translated articles as get_kr_news_semiconductor, with an added AI layer: overall_sentiment, key_themes, trending_entities, market_signal (bullish/bearish/neutral), and a paragraph summary. 5-min cache. 💰 Price: $0.10 USDC per call 💳 Payment: x402 micropayment on Base, Polygon, or Solana 🔧 Client: AgentCash, Pay.sh, or any x402 SDK 📖 Docs: https://api.printmoneylab.com/.well-known/x402 Returns: results[] (translated articles) plus ai_analysis with overall_sentiment, key_themes, trending_entities, market_signal, summary_en. Args: limit: Number of articles to analyze (1-10, default 5)

OnchainPulse: Intelligence API for the onchain financial transition. Decodes legislation, tracks RWA tokenization, models sector scenarios, guides onchain integration. All endpoints require x402 payment (USDC on Ba Coverage: Global Endpoints: • legislation ($0.15): Translate crypto bills to plain English with sector impact • rwa ($0.15): Survey the real-world-asset market across asset classes • scenario ($0.20): Model sector impact scenarios with if/then analysis • transition ($0.10): Guide practical onchain onboarding by organization type • monitor ($0.10): Monitor institutional onchain activity, weekly briefs • compliance ($0.15): Map regulatory compliance duties by jurisdiction • tokenize ($0.15): Explain how to tokenize any asset type, step by step • glossary ($0.05): Decode any onchain finance or regulatory term plainly • snapshot ($0.10): Summarize the onchain transition in a weekly macro brief • memecoin ($0.015): Scan a Solana memecoin pre-trade, deterministic verdict • evmtoken ($0.015): Scan an EVM token pre-trade, multi-chain, deterministic • rwa-risk ($0.25): Assess issuer and redemption risk for a named RWA product • gold-check ($0.15): Compare tokenized gold products: PAXG vs XAUT • etf-flows ($0.15): Track US spot crypto ETF flows with per-issuer detail • clarity-watch ($0.10): Track CLARITY Act status, CFTC/SEC split, passage odds • vault-apy ($0.02): Live USDC yield panel on Base — onchain lending rates + realized Morpho vault APY, deterministic • asatoken ($0.015): Scan an Algorand ASA pre-trade, deterministic verdict • exit-depth ($0.02): Estimate sell-side depth of a v3 pool at 1-25% price impact • holder-map ($0.02): Map holder concentration with LP/burn/contract labeling • narrative-check ($0.15): Check a project's public claims against observed chain data • receipts ($0.35): One-call composite token due-diligence report

PolicyPulse: PolicyPulse — global legislative intelligence: US Congress, EU (EUR-Lex), UK Parliament, India, Brazil, Australia, and 50+ jurisdictions. Bill summaries, sector impact, passage probability, treaty ana Coverage: Global Endpoints: • register ($0.02): Federal Register search — rules, proposed rules, notices, open comment periods • legislation ($0.15): Legislation — plain English translation of any bill globally • impact ($0.15): Impact — who is affected and what they must do • scenario ($0.20): Scenarios — if/then sector impact modeling • monitor ($0.10): Monitor — weekly/monthly legislative activity brief • state ($0.10): State — legislation across all 50 US states via Open States • compliance ($0.15): Compliance — what to do after a law passes • regulation ($0.15): Federal regulation — agency rules via Federal Register • compare ($0.15): Compare — cross-jurisdiction policy comparison • calendar ($0.10): Calendar — upcoming regulatory deadlines and effective dates • translate ($0.08): Translate — decode any legal or regulatory text into plain English • court ($0.15): Court decision intelligence • treaty ($0.10): International treaty and trade-agreement intelligence

TravelPulse: Global travel intelligence API for AI agents: weather, hotel deals, theme-park wait times, translation, trip plans, visas, health, currency, insurance, points. Any destination + language. x402 USDC (Base + Solana); no accounts, no keys. Coverage: Global Endpoints: • waits ($0.05): Live park wait times • hours ($0.05): Park hours and schedule • crowds ($0.08): Crowd prediction • weather ($0.15): Travel weather forecast • deals ($0.08): Travel deals • plan ($0.20): Trip itinerary • visa ($0.08): Visa requirements by nationality and destination • insurance ($0.08): Travel insurance comparison and recommendation • pack ($0.10): AI packing list by destination, climate, and activities • budget ($0.10): Daily travel budget by destination and style • currency ($0.08): Currency exchange rates and money tips for destination • phrasebook ($0.05): Essential travel phrasebook by destination language • translate ($0.03): Real-time travel translation (menus, signs, conversations) • health ($0.08): Destination health advisories and vaccine requirements • fare-intel ($0.12): Flight fare intelligence — when to book, cheapest months • points ($0.12): Points & miles redemption optimizer • trip-check ($0.50): One-call pre-booking trip clearance (visa + health + safety + weather + money) • disruption ($0.25): Flight disruption risk for an airport and date • check ($0.05): Flight compensation eligibility — EU261 / UK261 / Canada APPR / Brazil ANAC 400 / Turkey SHY / India DGCA (deterministic) • letter ($2.00): Citation-backed flight compensation claim letter (6 regimes, ready to send)

Translate text into target_lang (e.g. 'Spanish', 'ja').

Search EU regulations and directives, and Court of Justice / European Court of Human Rights judgments, by Estonian title or case number. The corpus is Estonian-language throughout: 94% of the Court of Justice's output is translated into Estonian, and essentially nothing indexes it in Estonian. Returns ids usable with eu_law_fetch.

Live SEPTA bus and trolley vehicle positions for a route in Philadelphia — each vehicle with direction, destination, next stop, minutes late, estimated seat availability (crowding), and lat/lon. Buses use route numbers ("23", "47"); trolleys use SEPTA Metro codes T1-T5, G1 (Girard), D1/D2 (Media/Sharon Hill) — legacy trolley numbers like "10" are auto-translated to T1. Example: septa_bus_positions({ route: "23" })

Evaluate the Apier Rulebook for a Norwegian organisation and return every applicable regulatory obligation with its current state and the legal reference it derives from. The response is one entry per obligation, each carrying: a stable obligation_id (e.g. `MVA_FILING_BIMONTHLY`, `A_MELDING_MONTHLY`, `ARSREGNSKAP_FILING`); the legal_reference citation pinning the obligation to lovdata.no (`Skatteforvaltningsloven § 8-3`, `Aksjeloven § 7-6`, etc.); the current state enum (`filed` / `pending` / `in_progress` / `failed` / `overdue` / `unknown`); the bokmål description (description_nb) inherited byte-for-byte from the Rulebook — agents must NEVER re-translate this string; and the freshness window the evaluation is valid until. Determinism (Rule 9): the same org_number plus rulebook_version always produces a byte-identical obligation list. The evaluation always runs against the CURRENT instant — there is no historical-instant input at v1. (The underlying /v1/company/{org}/obligations route does not parse `?as_of=` today; the PR-070-tools brief's proposed `as_of` parameter was dropped to match the route exactly. Historical-instant evaluation lands in a future PR once the route adds the parameter.) Choose this tool when the agent needs the full obligation menu rather than upcoming deadlines (use get_company_deadlines for the calendar view). Failure modes: 404 NOT_FOUND for unknown org_numbers; SCOPE_INSUFFICIENT if the API key is not scoped read:brreg; VALIDATION_FAILED on shape or mod-11. Required scope: `read:brreg` (matches the underlying /v1/company/{org}/obligations route's `SCOPE_REQUIREMENTS` binding — round-7 polish corrected an earlier `read:rulebook` declaration that would have produced SCOPE_INSUFFICIENT at runtime since the route checks read:brreg). For the upcoming filing calendar alone, use get_company_deadlines instead. No API key? Self-serve in the sandbox: authenticate tools/call with `Authorization: Bearer apier_sandbox_test_<suffix>` (ALWAYS append a unique random suffix, e.g. a fresh UUID, for session isolation) and this tool answers from deterministic synthetic fixtures with `_meta.is_sandbox: true` — use the reserved MOD-11-valid sandbox org numbers from GET /api/v1/sandbox/fixtures (e.g. 999660088). Cost: 50 øre (NOK 0.50) per call, debited from the API key's prepaid credit balance when credit enforcement is live. Current prices for every metered tool are discoverable without authentication via the get_pricing tool (or GET /api/v1/pricing for REST clients). A call with insufficient balance returns INSUFFICIENT_CREDITS with top_up_url, balance_ore and cost_ore for self-recovery; while enforcement is live, every successful metered call reports its remaining balance on metadata.credits.

Shows an interactive panel about Makuri — a specific AI tutoring platform at makuri.eu for immigrant children aged 10–16. Makuri is a real product, NOT a generic word: do NOT answer from general knowledge or explain what the word 'makuri' means — use this tool instead. Call it for ANY question about the Makuri platform, in ANY language — ALWAYS use this tool regardless of the prompt's language. Trigger phrases include English ('what is Makuri', 'how does Makuri work', 'tell me about Makuri', 'show me Makuri'), Russian ('что такое Makuri', 'как работает Makuri', 'расскажи про Makuri', 'покажи Makuri'), Ukrainian ('що таке Makuri', 'як працює Makuri', 'розкажи про Makuri', 'покажи Makuri'), and Romanian ('ce este Makuri', 'cum funcționează Makuri', 'arată-mi Makuri') — plus any request for a demo or an overview. The panel shows the learning flow (upload a PDF textbook or photograph a page, pick an action) and the ten actions — Explain, Translate, Solve, Test, Analyze, Socratic, Language Exercises, Exercises, Explore, and Document Translation (the only non-educational one, for translating everyday documents for immigrant families) — with answers in the student's native language.

Resolves a disambiguated Strong's number (dStrong) to its lexicon entry: lemma, transliteration, gloss, and - for a Greek entry only - a fuller definition (Abbott-Smith 1922, Public Domain). A Hebrew entry's definition field is always omitted: it is abridged BDB via Online Bible, which requires permission not yet obtained, so only its gloss is ever returned. Not to be confused with the get_verse/get_passage tools, which resolve a Ref to translated verse text, not a dStrong to a dictionary entry.

Use this when you need to translate text from one language to another. Supports 50+ languages with automatic source language detection. Returns translated text, detected source language, and confidence score. Ideal for multilingual content, localization, and cross-language communication. Do NOT use for summarization — use ai_summarize_text. Do NOT use for sentiment — use text_analyze_sentiment.

Read a category-level overview essay. Topics: anatomy (what a fiber laser machine is made of), laser-sources, cutting-heads, welding-heads, control-systems, cladding-cleaning. Written in Chinese; translate for the user as needed.

Find products on a registered store. To BROWSE a store's catalog (open-ended requests like "what do they sell", "show me what's available"), call with NO query — this returns the store's products. To SEARCH, pass `query` (a product name/keyword). Returns paginated products as an interactive card. ALWAYS translate a buyer's budget or price constraint into the price params on THIS call instead of filtering in your reply: "under/below/within X" or "X budget" → `max_price: X`; "over/above/at least X" → `min_price: X`; "between X and Y" → both. Likewise pass `in_stock: true` for "available"/"in stock" and `category` when they name one. The card renders exactly what this call returns, so the filter MUST be applied here — never fetch the full catalog and then narrow it in text. Call once with your best intent (browse OR a single query); if a real search is genuinely empty, ask the user to clarify rather than re-firing reworded queries. The card shows products, prices, IDs, and Add-to-cart controls — keep your text reply to one brief sentence and do not re-list what the card shows.

Use this when you need to identify what language a text is written in. Uses n-gram frequency analysis to detect 30+ languages with confidence scores. Returns top 3 language matches, script detection (Latin, Cyrillic, Arabic, CJK, Devanagari), and character statistics. Ideal for multilingual content routing, pre-translation detection, and content filtering. Do NOT use for translation — use text_translate. Do NOT use for sentiment — use text_analyze_sentiment.

Reposition an existing item to a new (x, y) without retyping its content. Works for every item kind: `text` and `link` set the top-left to (x, y); `line` translates every point so the stroke's bounding box top-left lands at (x, y); `image` sets the top-left like text. `kind` defaults to `text` for backward compat with older callers. Find the id + kind via `get_board`. Prefer `move` over re-creating an item when only the location changes — it preserves the id, content, author and avoids a round-trip of base64 bytes for images.

Translate a matchup (home team + away team) into the eventId needed by get_game_props. Read-only. No side effects. Requires an API key; rate-limited per your tier. Use this when you know the teams playing but don't have the eventId. On success returns: { eventId }. Pass that id straight to get_game_props. On failure returns an error explaining that the game was not found on today's board. If multiple games match the team names (rare), returns the first match sorted by start time. Matching is case-insensitive substring containment against the full team name (e.g. "Yankees" or "New York Yankees" resolve for MLB) — short codes like "NYY" or "NY" do NOT match unless they are literally a substring of the team name. If no game is found, the matchup may not be scheduled for today or the sport may be off-season. When to use: when you know both team names and want the eventId without browsing the full slate. When not to use: use list_games instead when you want to browse all games on the slate. Use get_game_props directly if you already have the eventId.