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x402 trust leaderboard (free)

x402_trust_leaderboard

Discover reliable paid x402 endpoints with a free top-25 leaderboard of hosts ranked by deterministic trust scores based on uptime, compliance, latency, and settlement activity.

Instructions

Free top-25 most trustworthy x402 hosts (providers), ranked by a deterministic trust score. Each host's score is the probe-weighted mean of its listed endpoints' scores, so providers are judged by their whole measured surface instead of one provider flooding the board with path variants. The per-endpoint score blends uptime, envelope compliance, latency, age, on-chain settlement activity and price stability. Latency is measured from a single EU vantage point and includes network distance to the endpoint (so it is only lightly weighted). Use this to discover reliable paid endpoints.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.4/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden, and it excels: it discloses determinism, probe-weighting, the score blend components, and the EU single-vantage-point limitation for latency. It also explains the anti-flooding design choice, giving the agent meaningful behavioral context beyond the tool name.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description opens with the core output and then builds context with dense, purposeful sentences. Each sentence provides distinct value—scope, scoring, weighting, and limitation—without verbose repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a no-parameter, no-output-schema tool, the description is remarkably complete: it specifies top-25 scope, host-level ranking, scoring methodology, and a known measurement caveat. An agent can decide to call it and interpret the result without missing critical facts, though exact output fields are not enumerated.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are zero parameters and an empty input schema, so parameter semantics are trivially satisfied and the 0-parameter baseline of 4 applies. The description adds useful context about what the returned leaderboard contains, but there are no parameters for it to explain.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool returns a free top-25 ranking of trusted x402 hosts by a deterministic trust score, using specific language about what is ranked and how. It does not explicitly contrast with sibling tools such as x402_trust_score or x402_find_alternatives, so it lacks explicit sibling differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives clear usage context: 'Use this to discover reliable paid endpoints.' It also explains the methodology so the caller understands how to interpret the ranking. However, it does not state when not to use it or point to an alternative tool for single-host or endpoint-level trust queries.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.