AgentsMedium impactFor DevGitHub AI Agents · June 10, 2026
Agent Service Manifest - what a service is worth
calebguo007/asm-spec
Agent Service Manifest (ASM) is a JSON schema specification to define and price AI agent services for better service discovery and interaction.
Signal strength3.7/5·GitHub AI Agents
Agent Service Manifest (ASM) is a JSON schema specification to define and price AI agent services for better service discovery and interaction.
TL;DR
Agent Service Manifest (ASM) is a JSON schema specification to define and price AI agent services for better service discovery and interaction.
What happened
The asm-spec GitHub repository introduces the Agent Service Manifest, a protocol to quantify and standardize the worth of AI agent services through a structured JSON schema.
Why it matters
It enables interoperable service discovery and fair pricing mechanisms for AI agents, fostering an agent economy and efficient multi-agent collaboration.
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The bigger picture
The emergence of the ASM specification reflects a maturation in the AI industry’s approach to service modularity and economic structuring. It suggests a future where AI agents are no longer locked within proprietary silos but instead participate in an interconnected economy, exchanging capabilities transparently. This aligns with trends toward agent-based architectures, composability, and decentralized AI infrastructure. By providing a standardized contract for service definitions and pricing, ASM paves the way for programmable marketplaces and more efficient resource allocation across AI workflows. The broader signal is a step toward democratizing AI agent services, lowering friction for collaboration between heterogeneous agents, and fostering innovation through interoperability rather than isolated development bubbles.
Technical deep dive
Technically, ASM centers around a JSON schema that developers can extend to describe key service attributes such as function signatures, input/output types, latency estimates, cost structures (per request or compute time), and service availability windows. Implementing ASM in a multi-agent system requires parsers and validators that guarantee manifest compliance to ensure trusted discovery. Architecturally, ASM enables a plug-and-play model where agents can publish manifests to registries or marketplaces and consumers can query and filter agents based on these standardized descriptors. A significant design consideration is balancing expressivity with simplicity to avoid bloated manifests while capturing sufficient detail for economic decisions. ASM also opens the door to automated pricing negotiations and usage metering integrations, which will necessitate secure token exchange and audit trails. Additionally, embedding ASM in distributed agent frameworks could enhance resilience and scalability by enabling fallback or parallel execution strategies based on manifest-defined QoS parameters.
Real-world applications
1
AI platform marketplaces adopting ASM to allow developers to list, compare, and purchase AI agent services with transparent pricing and capabilities.
2
Enterprise AI orchestration systems using ASM manifests to dynamically discover and integrate specialized agent services-like sentiment analysis or automated scheduling-while respecting cost constraints.
3
Multi-agent research frameworks implementing ASM to benchmark and select optimal agents for collaborative tasks based on standardized performance and price profiles.
4
Startups building decentralized AI ecosystems employing ASM to facilitate seamless agent service exchanges in peer-to-peer networks without centralized intermediaries.
What to do now
Developers working with AI agents should review the ASM JSON schema specification to evaluate how it fits existing or planned agent offerings.
Product teams managing AI marketplaces or orchestration platforms need to prototype ASM-based service registries to test interoperability and pricing discovery workflows.
Engineering leads should consider integrating ASM validation tools into CI/CD pipelines to ensure consistent agent service manifest compliance.
Strategic planning groups ought to map potential business models enabled by ASM, such as usage-based billing or federated agent ecosystems, to prepare for emerging agent economies.