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x402_ecosystem_stats

LIVE, sourced snapshot of x402 adoption across the public ecosystem: indexed pay-per-call service count, networks, payment assets, categories and USD price stats (min/median/mean/max), each with its source URL and fetchedAt. Aggregated from 402index.io + Coinbase CDP Bazaar + PayAI Bazaar. -> /x/x402/stats. Pay-per-call ($0.01 USDC).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the full burden, and it discloses several important traits: the data is LIVE with a per-source fetchedAt, the aggregation sources are named (402index.io, Coinbase CDP Bazaar, PayAI Bazaar), and invoking it is a pay-per-call operation costing $0.01 USDC. It stops short of describing caching/rate-limit behavior or how stale the snapshot can be between fetches.

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

Conciseness4/5

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

A single dense paragraph that front-loads the value proposition and the metric list, with the endpoint path and price appended. Every clause carries information, though the '-> /x/x402/stats' arrow fragment is slightly awkward packaging rather than prose.

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

Completeness4/5

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

No output schema exists, so the description must convey the return shape, and it does list the returned dimensions plus the source URL and fetchedAt metadata. It is complete enough to call, with only minor gaps around response formatting and whether all metrics are always present.

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?

The tool takes zero parameters, so the baseline is 4 and there is nothing for the schema to document. The description appropriately spends no words on inputs and instead covers what the no-arg call yields.

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 names a specific resource (x402 ecosystem adoption stats) and enumerates exactly which metrics are returned (service count, networks, payment assets, categories, USD price stats). It does not, however, explicitly differentiate itself from the sibling x402_ecosystem_networks, which an agent could plausibly confuse with the 'networks' dimension mentioned here.

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

Usage Guidelines3/5

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

Usage context is implied: fetch this when you need ecosystem-wide adoption figures. There is no statement of when-not to use it and no mention of the sibling x402_ecosystem_networks tool, so an agent has to infer the split between a full ecosystem snapshot and a networks-only view.

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

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