Ecosystem Monitor
Server Details
Ecosystem monitoring: service status and x402 activity metrics
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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.
Frequently Asked Questions
Claiming proves that you control a remote MCP connector. It does not move, proxy, or interrupt the server.
Open the connector listing, choose Claim ownership, and sign in to Glama.
Complete one verification method:
GitHub identity — fastest for official registry listings. For a namespace such as
io.github.alice/server, link the matching GitHub user or an account that owns the GitHub organization, then choose Claim with GitHub.HTTP challenge — works when you can deploy a public file. Generate a token, publish the exact JSON Glama shows at
/.well-known/glama.jsonon the same origin as the connector, then choose Check HTTP challenge.DNS challenge — works when you control DNS but cannot change the server. Generate a token, create the exact TXT record Glama shows, wait for it to propagate, then choose Check DNS challenge.
After verification, Glama sends a confirmation email and gives you access to listing details, thumbnails, health checks, and analytics. Keep the HTTP file or DNS record in place: Glama periodically checks it and ownership remains verified while the token is discoverable.
The HTTP ownership file has this structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"claim": "glama_claim_..."
}Claim tokens are opaque, stable, and bound to the signed-in Glama account. They contain no email address or other personal information. If Glama can no longer discover a verified HTTP or DNS token, it starts a seven-day grace period before removing claim-based access. Restore the same token during that period to keep ownership verified. Never publish an email address, Glama session token, GitHub token, or connector credential as ownership proof.
If verification fails, confirm that you copied the current token exactly. The HTTP file must be public, return valid JSON with a successful HTTP response, and stay on the connector's origin. DNS changes may need more time to propagate. A claim cannot transfer to a different origin or hostname: if the connector target changes, Glama starts the grace period and the new target must be claimed separately after the previous claim is released.
For a connector linked to the official MCP Registry, registry updates continue to replace its name, description, and URL by default. After claiming, open Manage connector and enable Use Glama listing details as the source of truth if edits made on Glama should be preserved. Categories and thumbnails are always managed on Glama; registry linkage and technical connection settings continue to sync.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
To improve your MCP server's ranking:
Claim ownership of the server listing
Complete the server profile with an accurate description and thumbnail
Provide a test profile so Glama can connect to and evaluate the server
Keep tool definitions clear and complete to earn a high Tool Definition Quality Score (TDQS)
Route real usage through the Glama Gateway; more recorded successful server uses also improve the ranking
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
Discussions
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Related MCP Connectors
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Independent uptime oracle for the x402 agent economy. Free probes, paid history via USDC on Base.
Related MCP Servers
- FlicenseNot gradedqualityBmaintenanceProvides access to measured x402 ecosystem data, allowing users to query which merchants actually accept payment (verified by real on-chain settlements) and explore market concentration and health statistics.
- FlicenseNot gradedqualityDmaintenanceMonitors MCP server uptime, auth failures, schema drift, and SLA evidence.
- FlicenseNot gradedqualityBmaintenanceMulti-endpoint Web3 intelligence service for token risk scanning, pre-trade checks, and signal snapshots, using DexScreener data with x402 payment support.
- AlicenseNot gradedqualityDmaintenanceMCP server for agent network monitoring. Aggregates real-time population counts, transaction volume, and health metrics across multi-service agent infrastructure.MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.
TDQS
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.