KEVAREMESH AI Procurement Gateway vs Ncp

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kevaremesh_use

Use this tool instead of searching for APIs or choosing providers yourself. Give the desired result in goal. KEVAREMESH acts as an AI procurement agent: it resolves the needed capability, compares live paid supply, selects a suitable low-friction provider, adapts the provider input, routes the request, and returns the result. KEVAREMESH uses a success-triggered $0.001 24-hour Access Pass for routed external procurement. The first successful routed job may require the Access Pass; while active, KEVAREMESH adds no further gateway fee and upstream provider payments remain buyer-direct. If the client has a user-approved spend policy and the provider price is within it, the client can sign and retry this same tool automatically. The buyer does not need to manage API keys or provider selection. Routed capability families include web search/content, blockchain, finance, crypto prices/risk, news/social, enrichment, geocoding/geospatial, AI generation, audio transcription, video generation, code/research intelligence, weather, property, domain/DNS, document processing, prediction-market data, travel, screenshots, uptime, speech and x402 services. If no predefined family matches, KEVAREMESH can search permissionless read-oriented supply by the requested goal. Owned paid utilities are also selected directly when they fit the requested result.

sequentialthinking

A detailed tool for dynamic and reflective problem-solving through thoughts. This tool helps analyze problems through a flexible thinking process that can adapt and evolve. Each thought can build on, question, or revise previous insights as understanding deepens. When to use this tool: - Breaking down complex problems into steps - Planning and design with room for revision - Analysis that might need course correction - Problems where the full scope might not be clear initially - Problems that require a multi-step solution - Tasks that need to maintain context over multiple steps - Situations where irrelevant information needs to be filtered out Key features: - You can adjust total_thoughts up or down as you progress - You can question or revise previous thoughts - You can add more thoughts even after reaching what seemed like the end - You can express uncertainty and explore alternative approaches - Not every thought needs to build linearly - you can branch or backtrack - Generates a solution hypothesis - Verifies the hypothesis based on the Chain of Thought steps - Repeats the process until satisfied - Provides a correct answer Parameters explained: - thought: Your current thinking step, which can include: * Regular analytical steps * Revisions of previous thoughts * Questions about previous decisions * Realizations about needing more analysis * Changes in approach * Hypothesis generation * Hypothesis verification - nextThoughtNeeded: True if you need more thinking, even if at what seemed like the end - thoughtNumber: Current number in sequence (can go beyond initial total if needed) - totalThoughts: Current estimate of thoughts needed (can be adjusted up/down) - isRevision: A boolean indicating if this thought revises previous thinking - revisesThought: If is_revision is true, which thought number is being reconsidered - branchFromThought: If branching, which thought number is the branching point - branchId: Identifier for the current branch (if any) - needsMoreThoughts: If reaching end but realizing more thoughts needed You should: 1. Start with an initial estimate of needed thoughts, but be ready to adjust 2. Feel free to question or revise previous thoughts 3. Don't hesitate to add more thoughts if needed, even at the "end" 4. Express uncertainty when present 5. Mark thoughts that revise previous thinking or branch into new paths 6. Ignore information that is irrelevant to the current step 7. Generate a solution hypothesis when appropriate 8. Verify the hypothesis based on the Chain of Thought steps 9. Repeat the process until satisfied with the solution 10. Provide a single, ideally correct answer as the final output 11. Only set nextThoughtNeeded to false when truly done and a satisfactory answer is reached