opennodes
OfficialRelated Servers
Alternatives to opennodes
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to autonomously discover services, negotiate binding quotes, make idempotent purchases, and receive cryptographically verifiable deliverables.MIT

GateCoreofficial
AlicenseNot gradedqualityDmaintenanceEnables AI agents to discover governed capabilities, inspect machine-readable contracts, and request policy-checked procurements with signed receipts and audit trails.Apache 2.0- AlicenseAqualityBmaintenanceEnables AI agents to access verifiable DePIN supply-side telemetry, browse and purchase data products using credits, query datasets, and verify data provenance with cryptographic and zero-knowledge tools.10386 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables listing and discovery of DePIN infrastructure capacity (storage, compute, GPU, etc.) with real USDC/USDT settlement across multiple chains.MIT
- AlicenseAqualityBmaintenanceAutonomous M2M marketplace where AI agents discover specialist agents by skill and reputation, lock credits in escrow, and delegate tasks via Contract Net Protocol.134MIT
- AlicenseNot gradedqualityCmaintenanceOpenAI-compatible inference broker that routes AI requests to the cheapest qualifying model and settles payments per token in USDC on Base L2 via x402 micropayments.MIT
TDQS
Scored across 5 tools
Each tool has a fairly distinct role: search_offerings browses, get_node and get_offering drill into details, recommend picks a model, and estimate prices a chain. The two pairs (search vs recommend, get_node vs get_offering) could be momentarily confused, but descriptions explicitly cross-reference each other ('Use get_offering for one offering's full card', 'To browse instead, use search_offerings'), which resolves most ambiguity.
Three tools follow a verb_noun pattern (search_offerings, get_node, get_offering), but estimate and recommend are bare verbs, so the convention is mixed. Names remain readable and predictable enough to guess intent, but the set is not uniformly patterned.
Five tools is well within the ideal range and each covers a distinct facet of the registry/advisory workflow: browse, node details, offering details, recommend, and estimate. Nothing appears redundant or padded, and the scope (advisory/pricing, not invocation) justifies the count.
The surface covers discovery (search_offerings), provider vetting (get_node), offering detail (get_offering), recommendation (recommend), and cost projection (estimate), which is a coherent advisory lifecycle. Minor gaps exist—no direct comparison or bulk listing tool beyond search/recommend—but agents can work around these.