Name: brand-clearance
Price: 0.25 USDC
Availability: InStock

$ man brand-clearance

agentutility / prooflayer / brand-clearance

PRICE / CALL

$0.25

USDC · base mainnet · scheme: exact

METHOD

POST

CLUSTER

prooflayer

CATEGORY

uncategorized

STATUS

● live

NAME

brand-clearance — screens a candidate brand name across trademark, domain, and web-presence checks in a single composite signal

SYNOPSIS

POST https://x402.agentutility.ai/brand-clearance
     Content-Type: application/json
     X-PAYMENT:    <signed-transferWithAuthorization>

     { ... }

↳ first call → 402 Payment Required. Sign USDCtransferWithAuthorization, retry with theX-PAYMENT header.

DESCRIPTION

Screens a candidate brand name across trademark, domain, and web-presence checks in a single composite signal. Runs four checks in parallel (in-process, no x402 self-billing): USPTO TM name search, domain availability across requested TLDs (default .com .ai .dev .io .co), Wikipedia presence, and a Hacker News mention scan. Returns risk_level (clear|soft|moderate|hard), risk_score 0-100, sub-scores per signal, the raw hits, and a one-line recommendation. Designed for AI agents self-screening project, product, or startup names before committing. Screening tool only, not legal advice. Use it as a brand clearance aggregator, name screening tool, product-name vetting step, or startup-brand pre-flight.

INPUT — request schema

property	type	description	req?
name	string	Candidate brand name (1-60 chars). Used as-is for USPTO + HN search; lowercased + alphanumeric-stripped for domain construction.	required
tlds	array	TLDs to check, without dots. Default ['com','ai','dev','io','co']. Allowlist: com, ai, dev, io, co, app, xyz, org, net, tech, tools, page, studio, shop. Max 6.	optional
max_tm_hits	number	Max trademark hits to include in the response. Default 5, hard cap 25.	optional

OUTPUT — response shape

field	type	description
name	string	Candidate brand name that was screened, echoed back from the request.
risk_level	string	Composite risk verdict: clear, soft, moderate, or hard conflict.
risk_score	string	Composite risk score from 0 (clear) to 100 (hard conflict) across all four signals.
recommendation	string	One-line suggested next step for the agent based on the composite risk verdict.
sub_scores	string	Per-signal risk scores for USPTO trademark, domain availability, Wikipedia, and Hacker News checks.

EXAMPLES — two ways to call

EXAMPLE 1 · curl

curl -X POST https://x402.agentutility.ai/brand-clearance \
  -H 'Content-Type: application/json' \
  -d '{ }'

first response = 402 Payment Required with payment requirements; sign + retry with X-PAYMENT.

EXAMPLE 2 · mcp

# Install the MCP package for this endpoint's cluster
npx -y @agentutility/mcp-<cluster>

# Required: EVM private key with USDC on Base
export X402_PRIVATE_KEY=0x...

# Then call the brand-clearance tool from your MCP-aware agent.

MCP server handles payment automatically — your coding agent just calls the tool by name.

METADATA

tags: brand-clearancetrademark-searchdomain-availabilityname-screeningprooflayerstartup-namingusptoproduct-naming
methods: POST
cluster: prooflayer
price: $0.25 USDC per call

ADJACENT — other endpoints in prooflayer

endpoint	description	price
production-readiness-score	Scores production readiness for a repo in one call, aggregating the Prooflayer cluster.	$0.10
vendor-questionnaire-draft	Drafts vendor security questionnaire answers from evidence you supply.	$0.08
ai-content-detector	Detect AI-generated writing with a calibrated probability score.	$0.03
dep-risk-summary	Scores dependency risk for a whole repo from its manifests and lockfiles.	$0.03
github-repo-health	GitHub repo health score / open-source maintainability checker.	$0.03
package-risk-npm	Scores supply-chain risk for an npm package before you install it.	$0.03
prompt-injection-surface	Scans AI app source code for prompt injection risk at LLM call sites.	$0.03
app-store-rejection-explain	Explains App Store and Google Play rejections and turns them into a resubmission plan.	$0.02