KAI Router
Server Details
Find pay-per-call x402 tools (USDC on Base) for any task, ranked by relevance and real demand.
- Status
- Healthy
- Uptime
- 99.9% over 25 days
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 1 tool
Only one tool exists, so there is no possibility of overlap or misselection. Its purpose is clearly stated as finding pay-per-call tools.
The single tool name follows a clear snake_case verb_noun pattern (find_paid_tool). With only one tool, there is no inconsistency.
A single tool is thin for a server named 'Router,' which implies routing or invocation behavior beyond discovery. There are no sibling tools for listing, invoking, or managing paid tools.
The discovery operation is covered, but a router-like server would typically need at least an invocation or payment-routing tool. The returned URL may allow external calling, so the gap is notable but not fatal.
Available Tools
1 toolfind_paid_toolAInspect
Find pay-per-call (x402, USDC on Base) tools for a task. Returns ranked tools with price, recent demand and the URL to call. Free.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | Yes | What you need, e.g. 'token price' or 'wallet risk check' | |
| max_price_usdc | No | Optional price ceiling per call |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It usefully discloses that results are ranked and include price, recent demand and a callable URL, and that the search itself is free (no payment/auth implied). It omits pagination, ranking methodology, rate limits, and what happens on zero matches.
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 compact sentences, front-loaded with the verb and resource, followed by return contents and cost. No filler, no redundancy.
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 no output schema and no annotations, the description compensates by naming the returned fields (price, demand, URL) and the cost profile, which is what an agent needs to decide to call it. Minor gaps remain around pagination/limit behavior and empty-result handling for a 3-parameter search tool.
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 67%, with query and max_price_usdc documented in the schema while limit is not. The description adds only that the query is 'for a task', which roughly aligns with the schema example but does not explain the limit parameter or clarify the price ceiling semantics.
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?
States a specific verb (Find) and resource (pay-per-call tools), and qualifies the domain precisely with protocol and settlement details (x402, USDC on Base). An agent immediately knows this is a discovery/search tool for paid endpoints, not a tool that calls them.
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?
'for a task' frames the input context, and 'Free' tells the agent that searching costs nothing, which is useful before committing to paid calls. However, there is no explicit when-to-use statement, no mention of what to do with the results, and no exclusions or alternatives described.
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.
1 tool update
- First observed
find_paid_tool
Related MCP Connectors
Pay-per-call tools for autonomous agents, settled in USDC on Base via x402.
270 pay-per-call AI tools for agents, paid via x402 (USDC on Base). No signup, no API keys.
63 pay-per-call tools for agents: vision, text, data, web, blockchain. USDC on Base via x402.
Pay-per-call data APIs for AI agents. USDC on Base via x402. 33 tools, no signup.
Related MCP Servers
- AlicenseAqualityCmaintenanceEnables AI agents to call 33 pay-per-call tools for onchain data, ECB exchange rates, text utilities, and more, using USDC on Base over x402 with optional prepaid credit or wallet-based payments.3484 npmMIT
- AlicenseNot gradedqualityDmaintenanceThe open marketplace for the agent economy — Buy any of 24,000+ live x402 services with USDC on Base.6MIT

AfaAgent x402 API Suiteofficial
FlicenseNot gradedqualityFmaintenance43 x402-enabled API tools — DeFi, wallet security, AI/ML, developer tools, SEO. Pay-per-call USDC on Base via x402 protocol.-
AgentBIT MCP Serverofficial
AlicenseNot gradedqualityDmaintenanceEnables AI agents to call 50+ pay-per-request tools covering onchain and crypto data, web research, security, compliance screening, business intelligence, and infrastructure checks. Payments settle per call in USDC on Base through the x402 protocol with no accounts, API keys, or subscriptions, and the first call is free for new wallets.MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.