/ catalog…
Catalog
Every x402, MPP, MCP, and skill listing we've indexed, normalized, and enriched.
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Intent detection for agents: multi-label classification, confidence scoring, ambiguity detection, slot filling, intent c
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Agent-optimized summarization: extractive and abstractive modes, length targeting, key point extraction, table/list pres
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API gateway for agents: credential vault, endpoint routing, response normalization, error translation, automatic retries
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Agent session state: serialize/deserialize agent state, cross-session continuity, state diffing, rollback to checkpoints
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Safe code execution for agents: sandboxed Python/JS/bash, resource limits, output capture, dependency injection, timeout
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Immutable agent decision logging: capture reasoning steps, tool selections, confidence scores, alternatives considered,
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Agent-to-human handoff: detect uncertainty thresholds, package context for human review, track handoff reasons, measure
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Agent feedback collection and processing: thumbs up/down capture, preference pairs, correction logging, improvement sugg
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Agent persona management: define and switch personas, tone calibration, vocabulary constraints, response style enforceme
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Agent-aware rate limiting: per-agent quotas, model-specific limits, burst allowance, queue management, priority lanes an
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Stateful agent workflows: define multi-step pipelines, manage state transitions, handle conditional branching, parallel
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Agent quality evaluation: task completion rate, response quality scoring, instruction following, factual accuracy, tool
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Agent knowledge management: ingest documents, chunk and embed, hybrid search, reranking, citation tracking, knowledge fr
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Agent security layer: prompt injection detection, jailbreak classification, PII scrubbing from inputs/outputs, tool call
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Full agent observability: distributed tracing, span creation, latency breakdown, tool call logging, reasoning chain capt
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Agent retry and resilience: exponential backoff, error classification, retry budget management, circuit breakers, fallba
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Agent cost management: token usage by model and task, budget enforcement, cost forecasting, per-session billing, overage
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Context window optimization: measure token usage, compress conversation history, prioritize recent context, extract key
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Validate AI agent outputs: schema conformance, factual consistency checks, hallucination scoring, completeness assessmen
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Prompt caching for agents: semantic deduplication, cache hit detection, token savings calculation, TTL management, cache
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Multi-agent coordination: spawn subagents, pass context between agents, aggregate results, handle agent failures, load b
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