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Catalog

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

89,836 results · page 1974 / 3,744
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https://orbisapi.com/proxy/llm-jailbreak-resistance-scorer-api-91e9de

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Maps LLM capabilities to task requirements and recommends the best model for each workload type.

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https://orbisapi.com/proxy/ai-response-attribution-source-scorer-api-68d264

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Scans LLM app configurations against OWASP LLM Top 10 for injection, disclosure, and privilege vulnerabilities.

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Computes pairwise semantic similarity using TF-IDF, clusters documents, and identifies near-duplicate content.

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Compresses long content using extractive summarization while preserving key entities and query relevance.

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Scores how well LLM outputs follow multi-part instructions across format, tone, length, and content dimensions.

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Validates and auto-repairs LLM outputs to enforce JSON, list, CSV, and markdown format compliance.

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https://orbisapi.com/proxy/ai-knowledge-graph-builder-api-2a548f

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https://orbisapi.com/proxy/vector-database-index-strategy-advisor-api-92bd48

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Scores LLM output consistency across multiple runs to detect instability and prompt engineering issues.

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https://orbisapi.com/proxy/ai-system-a-b-test-designer-api-42225e

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https://orbisapi.com/proxy/ai-agent-tool-selection-execution-planner-api-b7d75f

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Identifies high-signal memories, plans compression strategies, and optimizes context for long conversations.

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https://orbisapi.com/proxy/ai-cost-quality-multi-objective-optimizer-api-283de5

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https://orbisapi.com/proxy/fine-tuning-dataset-curator-quality-gate-api-2a8688

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Compares prompt versions against baselines to detect regressions and identify improvements.

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Compares embedding models by cost, quality, and dimension to select the best fit for your use case.

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Compares outputs from multiple LLMs to score agreement, identify dissent, and recommend best response.

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Plans context window allocation strategies when content exceeds model limits with compression options.

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Re-ranks retrieved documents using TF-IDF and BM25 cross-encoder scoring for improved RAG precision.

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Audits system prompts for security vulnerabilities, credential leaks, and quality improvement opportunities.

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Allocates token budgets across prompt components by priority to prevent context overflow.

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https://orbisapi.com/proxy/ai-pipeline-latency-profiler-api-d21701

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