Ecosystem Monitor
Server Details
Ecosystem monitoring: service status and x402 activity metrics
- Status
- Healthy
- Uptime
- 100.0% over 38 days
- Last Tested
- Transport
- Streamable HTTP · MCP 2024-11-05
- URL
TDQS
Scored across 2 tools
Each tool targets a distinct aspect of x402: one focuses on paid API call activity stats, the other on ecosystem intelligence. There is no overlap in functionality.
Both tools follow a consistent get_x402_<noun> pattern, using snake_case with a clear verb-noun structure.
With only 2 tools, the server is quite thin, but the domain is narrowly scoped to x402 monitoring. It is borderline acceptable but lacks breadth.
The tools cover basic activity stats and ecosystem overview, but are missing potentially important features like historical trends, detailed service info, or alerting.
Available Tools
2 toolsget_x402_activityAInspect
Get x402 paid API call activity stats from memoryapi.org nginx logs. Returns top endpoints by paid calls, unique payers, and trend data.
| Name | Required | Description | Default |
|---|---|---|---|
| hours | No | Lookback window in hours (1-168, default 24) | |
| service | No | Filter by service name (e.g. clinical, bio, research). Omit for all. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description bears full burden. States source and return content (top endpoints, payers, trends) but omits what sort of response format, authentication needs, or data freshness. Adequate but not fully transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two concise sentences. First sentence states purpose and source. Second lists return content. No redundancy or unnecessary words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With only two optional parameters and no output schema, description adequately explains what the tool does and returns. Could detail output format or time granularity, but still provides enough for agent to understand core function.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema covers both parameters with clear descriptions. The description adds no additional nuance beyond what the schema provides. Baseline 3 for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states it gets paid API call activity stats from nginx logs. Specifies verb (Get), resource, and source. Distinguishes from sibling get_x402_ecosystem by focusing on paid calls.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Implies use when needing paid call stats, but no explicit guidance on when to use sibling or when not to use. Lacks direct comparison or exclusion criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_x402_ecosystemBInspect
Get x402 ecosystem intelligence from Agentic Market. Returns services by category, counts, and which memoryapi.org services are listed.
| Name | Required | Description | Default |
|---|---|---|---|
| sort | No | Sort by: count (default) or alphabetical | count |
| category | No | Filter by category: inference, data, or all (default all) | all |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must compensate but only states the return types (services by category, counts, listed services). It does not disclose behavioral traits such as read-only nature, side effects, rate limits, or authentication requirements. The 'get' prefix weakly implies non-destructive behavior but is not explicit.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise, consisting of two sentences that front-load the core purpose. It is short and to the point, though it could be slightly more structured by explicitly mentioning the parameters or sorting/filtering options. Still, it efficiently communicates the tool's primary function.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (2 optional parameters, no output schema, no nested objects) and a single sibling, the description covers the main output aspects. It does not mention pagination or detailed return format, but these are not critical for a basic listing tool. The description is adequate for the complexity level.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with both parameters having descriptions in the schema. The tool description adds no additional parameter information beyond what the schema provides. According to the guidelines, when schema description coverage is high (≥80%), the baseline score is 3, which is appropriate here.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function: 'Get x402 ecosystem intelligence from Agentic Market' and specifies the output includes services by category, counts, and listed memoryapi.org services. This provides a specific verb and resource, though it does not explicitly differentiate from the sibling tool get_x402_activity. However, the naming suggests a clear distinction (ecosystem vs activity), so purpose is clear.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. There is no mention of preconditions, scenarios where this tool is preferred, or when not to use it. The sibling tool get_x402_activity is not referenced, leaving the agent without usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
2 tool updates
- First observed
get_x402_activity - First observed
get_x402_ecosystem
Related MCP Connectors
Measured x402 ecosystem data, facilitator reliability, and live endpoint checks.
Usage metering + SLA accounting for agent services (the meter behind x402 micropayments).
Which x402 service actually works: uptime, valid 402, and settlements proven on-chain.
Monitoring for the agent economy — liveness, latency, trust scoring for MCP endpoints
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- AlicenseNot gradedqualityDmaintenanceMCP server for agent network monitoring. Aggregates real-time population counts, transaction volume, and health metrics across multi-service agent infrastructure.MIT
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