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Catalog

Every x402, MPP, MCP, and skill listing we've indexed, normalized, and enriched.

119,395 results · page 3210 / 4,975
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Evaluates RAG pipeline quality on faithfulness, answer relevance, and retrieval precision metrics.

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Optimizes crypto portfolio allocations using Sharpe ratio maximization and risk profile constraints.

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Analyzes NFT collection health, wash trade detection, whale concentration, and market signals.

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Analyzes document chunk quality for vector search and recommends splitting and indexing improvements.

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https://orbisapi.com/proxy/ai-output-compliance-checker-api-35cd49

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Optimizes DeFi yield allocation across protocols by risk-adjusted APY and capital constraints.

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https://orbisapi.com/proxy/ai-content-moderation-scorer-api-d02dd5

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Decomposes complex tasks into agent-ready subtasks with tool assignments and execution plans.

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Designs evaluation benchmark suites with test cases, metrics, bias checks, and scoring protocols.

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Scores token distribution, vesting schedules, inflation, and utility for tokenomics health assessment.

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Calculates token usage across messages, tools, and documents to prevent context overflow.

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Profiles wallet behavior, portfolio composition, DeFi activity, and sophistication level on-chain.

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Calculates crypto capital gains, income tax, and TLH opportunities using FIFO across multiple countries.

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Advises on fine-tuning feasibility, training costs, and alternative strategies based on dataset quality.

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https://orbisapi.com/proxy/ai-knowledge-distiller-summarizer-api-632291

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https://orbisapi.com/proxy/ai-agent-execution-debugger-api-6875e6

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Validates and auto-fixes LLM outputs for JSON, list, CSV, and markdown format compliance.

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https://orbisapi.com/proxy/ai-evaluation-pipeline-builder-api-be063d

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Monitors portfolio risk, calculates VaR, detects over-concentration, and generates position alerts.

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Analyzes prompt libraries for quality, finds gaps, tracks performance, and suggests improvements.

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Detects prompt injection, jailbreak patterns, and instruction override attempts in user inputs.

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Backtests DCA and moving average strategies against historical price data with full performance metrics.

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Routes LLM requests to the optimal model based on task type, budget, latency, and quality constraints.

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Audits LLM app configs for OWASP LLM Top 10 vulnerabilities, input validation gaps, and permission risks.

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