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606,959 tools. Updated 2026-09-24 12:34

"Using Gemini Pro for Extended Thinking and Reasoning Tasks" matching MCP tools:

  • Embed a text string into a 768-dim Gemini Flash vector. Use for HyDE-style retrieval: (1) write a hypothetical short paper that would perfectly answer the user's query, (2) embed it with task_type='RETRIEVAL_DOCUMENT' (default — matches the corpus embedding side), (3) pass the resulting embedding back through search-style tools to find real papers nearest to the hypothetical. task_type='RETRIEVAL_QUERY' matches the query side and is useful for direct user-query embedding without HyDE. Pro-only — requires an SF_API_KEY on a Pro account; anonymous and free callers get a 403 pro_required. Cost: ~$0.0001/call; rate-limited at 30/minute per API key.
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  • Sends a `user_prompt` to a Perplexity model and returns its reply, synchronously. `model_name` must come from `get_dataforseo_ai_perplexity_llm_responses_models` - `sonar`, `sonar-pro` and `sonar-reasoning-pro`. `web_search_country_iso_code` scopes the search, which the other three vendors do not offer. Returns `model_name`, `input_tokens`, `output_tokens`, `reasoning_tokens`, `web_search`, `money_spent`, `datetime`, `items` and `fan_out_queries`. 💰 **Priced by tokens upstream, not per call**: a sixteen-token reply measured $0.0006, but nothing caps a long one, and AIsa bills a flat $0.012 either way. Read `money_spent` on the response to see what a prompt actually cost. Wrapped in DataForSEO's envelope: data in `tasks[0].result`, outcome in `tasks[0].status_code` - a rejected request still returns HTTP 200. ⚠️ Perplexity searches by default, so its cost varies more with the question than the other vendors' do - `post_perplexity_sonar_deep_research` is the documented case of that going badly (CASEBOOK C5).
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  • Sends a `user_prompt` to a Perplexity model and returns its reply, synchronously. `model_name` must come from `get_dataforseo_ai_perplexity_llm_responses_models` - `sonar`, `sonar-pro` and `sonar-reasoning-pro`. `web_search_country_iso_code` scopes the search, which the other three vendors do not offer. Returns `model_name`, `input_tokens`, `output_tokens`, `reasoning_tokens`, `web_search`, `money_spent`, `datetime`, `items` and `fan_out_queries`. 💰 **Priced by tokens upstream, not per call**: a sixteen-token reply measured $0.0006, but nothing caps a long one, and AIsa bills a flat $0.012 either way. Read `money_spent` on the response to see what a prompt actually cost. Wrapped in DataForSEO's envelope: data in `tasks[0].result`, outcome in `tasks[0].status_code` - a rejected request still returns HTTP 200. ⚠️ Perplexity searches by default, so its cost varies more with the question than the other vendors' do - `post_perplexity_sonar_deep_research` is the documented case of that going badly (CASEBOOK C5).
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  • Get an indicative price for extending a Guard to a later settlement date. Estimates the additional cost using: (1) the guard fee difference between extended and original expiry, (2) the guard spread cost from the roll, and (3) the CurrencyGuard extension margin. Returns a breakdown: extensionCost = feeDifference + guardSpreadCost + extensionMargin. Both the original and extended quotes are priced at the same guard rate (the original quote's strike), so the fee difference reflects purely the longer tenor, not market movement. Use this when a customer asks 'how much would it cost to extend my Guard by X months?' Parameters match price_guard plus the two dates.
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  • Return live aggregate statistics for the Proximens GEO Engine knowledge base. INPUT: none. RETURNS: JSON with total_principles (high-confidence count), total_categories, and on Pro/Enterprise also extended quality metrics (full corpus size and a confidence_distribution) plus the last-validated timestamp. USE WHEN you need to gauge the size and quality of the corpus before relying on it.
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  • LLM chat completion per call — no account, no API key, no token math. Three flat-priced tiers: fast $0.002 (DeepSeek v4 Flash), smart $0.02 (GPT-5.4 mini), reasoning $0.03 (DeepSeek v4 Pro). Send OpenAI-style messages, get the assistant reply with finish_reason and token usage. Input capped per tier (16k-32k chars); the 402 quotes the exact tier price up front. Model or source unavailable means a 503 and you pay nothing. USDC on Base.
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  • Gemini Exchange keyless public market: symbols, ticker, candles, book, trades, price feed.

  • Find relevant Smart‑Thinking memories fast. Fetch full entries by ID to get complete context. Spee…

  • Use this when the user asks which Familia households, families, or shared boards are available. Includes member names and user ids for assigning tasks or plans. Do not use for listing tasks, plans, or calendar events.
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  • Returns the categories of tasks Sherah helps with (indoor and outdoor home, admin, kids, pets, meals, travel, shopping, finances, and more) with example tasks under each. Call this to check whether a request is something Sherah does, or to describe Sherah's services, before using request_sign_up_with_task.
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  • Run a query against AI models (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) and return each answer plus the sources it cited. Covers AI-search, citation, SEO, keyword, trend, and market-research data. If a plan needs more than 20 endpoint calls or may use more than $5 USD, estimate the cost in USD and ask the user before continuing. Quote Cite42 costs and balances in USD using cite42Billing or the USD pricing table. Legacy credit fields are for compatibility only. These funds belong to Cite42, not the host or model provider. AI visibility metrics include counts; quote them with percentages, not as a market-wide score. Optional recommendations are a separate paid call, never automatic. After a visibility result, offer recommendations using its requestId; run only when the user requests advice and knows the additional cost. Free: cite42_balance for the remaining balance, cite42_pricing for exact per-tool prices and cost estimates, cite42_usage for recent calls, spend, and limits. Pricing is per selected AI surface. Omitting models queries the three default surfaces (chatgpt, perplexity, gemini); fullSweep: true queries all five, adding claude and google_ai_overview at a higher cost. Use the models field when the user names a surface or asks to reduce spending, and call cite42_pricing for exact current rates.
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  • Get licensing options and prices for a clip without charging anything: Royalty-Free Standard (from $79), Extended for broadcast (from $199), and Exclusive Buyout (quoted by email). This tool never issues a license or takes payment; quote_4k_license starts a purchase.
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  • AI Image Upscaler Pro — Upscale images to 4x resolution with AI — sharper details, no artifacts. AI Studio run — dispatches to our AI workers (Modal). Credits per run vary by model and file size. Day Pass and welcome credits do not include AI Studio. Files are deleted after processing; auditable at mioffice.ai/account/tasks (retention details at mioffice.ai/privacy). All three credit-based workspaces unlock with the same one-time credit pack — there is no per-workspace subscription. See mioffice.ai/pricing for current plans.
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  • Count the exact number of tokens in a text string for a specific AI model. Uses tiktoken for OpenAI models and estimates for others. Args: text: The text to count tokens for model: The AI model to count tokens for. Options: gpt-4o, gpt-4o-mini, gpt-4.1, claude-sonnet, claude-haiku, gemini-pro, gemini-flash, llama-4, deepseek-v3, mistral-large. Default: gpt-4o Returns: Token count information including count, context window, and fit status
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  • Ask a question that needs more than one search pass and get a written answer with citations. Same request and response shape as `post_perplexity_sonar` — `model` (required, `sonar-pro`) and `messages` in, `choices[0].message.content`, `citations`, `search_results[]` and `usage` out. Measured at about 10 seconds, roughly three times `sonar`, for the same flat $0.012 per request. Use it for questions with several parts or follow-ups. For a single lookup `sonar` answers in a third of the time at the same price; when the difficulty is reasoning rather than retrieval, `post_perplexity_sonar_reasoning_pro` shows its working.
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  • Parse a homeowner's natural-language project description into structured permit-relevant fields: projectType (kitchen|bathroom|deck|adu|fence|...), areaSqft, heightClass, attached/detached, position, and materials. Returns confidence + a single clarifyingQuestion when the parse is ambiguous. Use this before calling check_permit_requirements / estimate_permit_fee when you only have free text from the homeowner. Backed by Gemini 2.5 Pro with a constrained JSON schema.
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  • Parse a homeowner's natural-language project description into structured permit-relevant fields: projectType (kitchen|bathroom|deck|adu|fence|...), areaSqft, heightClass, attached/detached, position, and materials. Returns confidence + a single clarifyingQuestion when the parse is ambiguous. Use this before calling check_permit_requirements / estimate_permit_fee when you only have free text from the homeowner. Backed by Gemini 2.5 Pro with a constrained JSON schema.
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  • robots.txt + llms.txt checker: crawler access verdicts for major search AND AI bots (Googlebot, Bingbot, GPTBot, ClaudeBot, PerplexityBot, CCBot, Google-Extended and more), declared sitemaps, syntax warnings, and llms.txt / llms-full.txt presence with structure summary. ?url=any page on the site ($0.001 per call, paid via x402)
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  • Report this endpoint's licence state for your token as JSON: the product, the tier free or pro, why it is not Pro, and the checkout URL. Call it to explain a free-tier refusal. No arguments, nothing changes.
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  • Report this endpoint's licence state for your token as JSON: the product, the tier free or pro, why it is not Pro, and the checkout URL. Call it to explain a free-tier refusal. No arguments, nothing changes.
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  • Report this endpoint's licence state for your token as JSON: the product, the tier free or pro, why it is not Pro, and the checkout URL. Call it to explain a free-tier refusal. No arguments, nothing changes.
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  • Report this endpoint's licence state for your token as JSON: the product, the tier free or pro, why it is not Pro, and the checkout URL. Call it to explain a free-tier refusal. No arguments, nothing changes.
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  • Static editorial recommendation -- NOT a live benchmark or leaderboard -- for which of six AI models (GPT-5, Gemini, Grok 4, Claude, DeepSeek, Kimi) to use for a given kind of task, ported from GO AI's own daily side-by-side-use judgement, current as of August 2026. Pick a task and get the recommended model plus the reasoning and a second-opinion backup. The optional `priority` can bias the pick toward cost (routes to DeepSeek) or freshness (routes to Grok) instead of the default quality pick -- but only for tasks where that tradeoff is actually offered; otherwise the quality default is returned unchanged. This reflects one team's opinion, not measured accuracy or pricing data.
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