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Clearance Agent Income Audit
x402
Clearance Agent Income Audit is a paid API for AI agents from clearance.nauti-labs.com, paid per call via x402, $49/call, status unknown (last checked 2026-09-13).
Analyzes an AI agent's configuration and goals to produce a monetization readiness score, income opportunity recommendations, and payment flow guidance including x402 and human approval layer advice.
Price / call$49
Success—
StatusUnknown
How this service works
The auth layer between human intent and agent execution. One API call. Human approves. Agent proceeds. Verified on-chain.
Output
Returns a numeric monetization readiness score, a plain-language summary, an array of income opportunity suggestions, a recommended payment flow, a Clearance human-approval recommendation, an x402 protocol recommendation, an array of identified risks, and an array of actionable next steps. May also include an upsell object and AWS AgentCore recommendation.
Example use cases
DeFi agent monetization audit
“Audit my DeFi agent at https://defiai.xyz — it's a portfolio rebalancer built on LangChain, and I want to charge users per rebalance action. What income opportunities and payment flows should I use, and what's my monetization score?”
Customer support agent income strategy
“I built a customer support agent at https://supportbot.io using OpenAI Assistants, and I want to monetize it on a per-resolution basis. Can you score it for agent income readiness and tell me if x402 or a human approval gate makes more sense for my payment goal?”
Content generation agent payment readiness
“My content writing agent lives at https://writerai.app and runs on a custom Python stack. My goal is to sell articles per-generation for $2 each. Can you run an income audit and flag any risks with my current payment setup?”
Technical details
Endpoint
GEThttps://clearance.nauti-labs.com/agent-income/auditWhen to prefer
Choose this endpoint when you need a structured, scored audit of an AI agent's monetization potential and want concrete recommendations on which payment protocols (x402, human approval gates) fit the agent's use case. It is purpose-built for agent commerce readiness, not generic business analytics or human user onboarding flows.
Side effects
- Missing required fields (agent_type, project_url, payment_goal, current_stack) return a validation error
- Invalid or unreachable project_url may produce incomplete analysis
- Ambiguous agent_type string may result in generic rather than tailored recommendations
- $49 USDC payment failure via x402 blocks access to the endpoint
- Overly broad payment_goal descriptions may yield vague income opportunity arrays
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| notes | string | |
| agent_typerequired | string | |
| project_urlrequired | string | |
| payment_goalrequired | string | |
| current_stackrequired | string |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| risksrequired | array | |
| scorerequired | number | |
| upsell | object | |
| summaryrequired | string | |
| next_stepsrequired | array | |
| x402_recommendationrequired | string | |
| income_opportunitiesrequired | array | |
| clearance_recommendationrequired | string | |
| payment_flow_recommendationrequired | string | |
| aws_agentcore_recommendation | string |
Tags
x402
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