ReactionCheck
Review and stress-test launch messaging, landing pages, product announcements, pricing pages, changelogs, app-store listings, and marketing emails before publication. LaunchCheck evaluates copy through eight audience lenses, surfaces positioning and conversion friction, flags claims needing evidence, predicts likely reader questions, recommends concrete changes, and returns a fact-preserving rewrite.
The wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.
Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
The payTo wallet does not resolve to a registered ERC-8004 agent. That is not a verdict on the service — most of the catalog is unregistered.
Accepts
The payment requirements as published to the catalog. Read the live 402 before paying — a price here is a claim, not a quote.
Pay 0.5 USDC on Base to 0x87F9…8DBa4. The signed payment is good for 5 minutes.
- Paid to
- 0x87F9…8DBa4
- USD Coin contract
- 0x8335…02913
- Payment window
- 5 minutes
- As published
- 500000 smallest units
The catalog’s raw entry
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{
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"body": {
"content": "Stress-test launch copy before you publish. LaunchCheck reviews messaging through eight audience lenses, flags positioning friction and unsupported claims, and returns concrete changes plus a fact-preserving rewrite.",
"constraints": [
"Do not invent metrics"
],
"contentType": "landing-page",
"desiredAction": "Run a paid reaction check.",
"productContext": "An x402-paid API for structured pre-launch copy review.",
"targetAudience": "Founders, product teams, and AI agents."
},
"type": "http",
"method": "POST",
"bodyType": "json"
},
"output": {
"type": "json",
"example": {
"meta": {
"model": "example-model",
"cached": false,
"engine": "openai-compatible",
"generatedAt": "2026-07-26T12:00:00.000Z"
},
"report": {
"score": 74,
"verdict": "revise",
"topRisks": [
{
"fix": "State the specific pre-launch decision the review helps make.",
"title": "Differentiation is vague",
"evidence": "The copy lists checks without explaining why they beat a generic critique.",
"severity": "medium",
"whyItMatters": "Readers may not see why the specialized review is worth using."
}
],
"inputIntegrity": {
"status": "clean",
"evidence": []
},
"likelyQuestions": [
"Why use this instead of a generic model?"
],
"requiredChanges": [
"Clarify the specialized value."
],
"executiveSummary": "Clear value, but the differentiation needs stronger evidence.",
"suggestedRewrite": "Stress-test launch copy before you publish with eight audience lenses, evidence checks, concrete fixes, and a fact-preserving rewrite.",
"audienceReactions": [
{
"lens": "Skeptical technical buyer",
"friction": "Differentiation is unclear.",
"reaction": "mixed",
"confidence": 0.82,
"likelyThought": "Useful, but why not use a generic model?"
},
{
"lens": "Busy nontechnical decision-maker",
"friction": "Differentiation is unclear.",
"reaction": "mixed",
"confidence": 0.82,
"likelyThought": "Useful, but why not use a generic model?"
},
{
"lens": "Price-sensitive solo user",
"friction": "Differentiation is unclear.",
"reaction": "mixed",
"confidence": 0.82,
"likelyThought": "Useful, but why not use a generic model?"
},
{
"lens": "Privacy and security-conscious evaluator",
"friction": "Differentiation is unclear.",
"reaction": "mixed",
"confidence": 0.82,
"likelyThought": "Useful, but why not use a generic model?"
},
{
"lens": "Existing customer scanning for regressions",
"friction": "Differentiation is unclear.",
"reaction": "mixed",
"confidence": 0.82,
"likelyThought": "Useful, but why not use a generic model?"
},
{
"lens": "First-time visitor with low context",
"friction": "Differentiation is unclear.",
"reaction": "mixed",
"confidence": 0.82,
"likelyThought": "Useful, but why not use a generic model?"
},
{
"lens": "Enthusiastic early adopter",
"friction": "Differentiation is unclear.",
"reaction": "mixed",
"confidence": 0.82,
"likelyThought": "Useful, but why not use a generic model?"
},
{
"lens": "Support-minded operator anticipating questions",
"friction": "Differentiation is unclear.",
"reaction": "mixed",
"confidence": 0.82,
"likelyThought": "Useful, but why not use a generic model?"
}
],
"strongestElements": [
"The pre-launch use case is clear."
],
"optionalImprovements": [],
"claimsNeedingEvidence": []
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"requestId": "2e847847-52da-46c6-b627-f95dbd66919f"
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"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
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],
"properties": {
"content": {
"type": "string",
"maxLength": 12000,
"minLength": 40,
"description": "Launch or marketing copy to review before publication, such as a landing page, product announcement, changelog, pricing page, app-store listing, or email."
},
"constraints": {
"type": "array",
"items": {
"type": "string",
"maxLength": 300,
"minLength": 1
},
"default": [],
"maxItems": 10,
"description": "Optional factual, legal, brand, or wording constraints that the review and rewrite must preserve."
},
"contentType": {
"enum": [
"landing-page",
"product-announcement",
"changelog",
"pricing-page",
"app-store-listing",
"email",
"other"
],
"type": "string",
"default": "other",
"description": "Kind of copy being reviewed; use other when none of the listed categories fit."
},
"desiredAction": {
"type": "string",
"maxLength": 500,
"description": "Optional action the copy should persuade the reader to take, such as sign up, start a trial, buy, upgrade, or learn more."
},
"productContext": {
"type": "string",
"maxLength": 2000,
"description": "Optional context about the product, feature, offer, or company needed to judge positioning, clarity, and factual fit."
},
"targetAudience": {
"type": "string",
"maxLength": 1000,
"description": "Optional intended audience or buyer segment whose likely reaction should inform the review."
}
},
"additionalProperties": false
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
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"json",
"form-data",
"text"
],
"type": "string"
}
},
"additionalProperties": false
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"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"requestId",
"report",
"meta"
],
"properties": {
"meta": {
"type": "object",
"required": [
"engine",
"model",
"generatedAt",
"cached"
],
"properties": {
"model": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"cached": {
"type": "boolean"
},
"engine": {
"type": "string"
},
"generatedAt": {
"type": "string",
"pattern": "^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(?:\\.\\d+)?(?:Z|[+-]\\d{2}:\\d{2})$"
}
},
"additionalProperties": false
},
"report": {
"type": "object",
"required": [
"verdict",
"score",
"inputIntegrity",
"executiveSummary",
"topRisks",
"audienceReactions",
"likelyQuestions",
"claimsNeedingEvidence",
"strongestElements",
"requiredChanges",
"optionalImprovements",
"suggestedRewrite"
],
"properties": {
"score": {
"type": "integer",
"maximum": 100,
"minimum": 0
},
"verdict": {
"enum": [
"ship",
"revise",
"rethink"
],
"type": "string"
},
"topRisks": {
"type": "array",
"items": {
"type": "object",
"required": [
"severity",
"title",
"evidence",
"whyItMatters",
"fix"
],
"properties": {
"fix": {
"type": "string",
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},
"title": {
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"minLength": 1
},
"evidence": {
"type": "string",
"maxLength": 500,
"minLength": 1
},
"severity": {
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"low",
"medium",
"high",
"critical"
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"whyItMatters": {
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"status",
"evidence"
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"enum": [
"clean",
"embedded-instructions-detected"
],
"type": "string"
},
"evidence": {
"type": "array",
"items": {
"type": "string",
"maxLength": 300,
"minLength": 1
},
"maxItems": 4
}
},
"additionalProperties": false
},
"likelyQuestions": {
"type": "array",
"items": {
"type": "string",
"maxLength": 300,
"minLength": 1
},
"maxItems": 12
},
"requiredChanges": {
"type": "array",
"items": {
"type": "string",
"maxLength": 500,
"minLength": 1
},
"maxItems": 10
},
"executiveSummary": {
"type": "string",
"maxLength": 1200,
"minLength": 1
},
"suggestedRewrite": {
"type": "string",
"maxLength": 6000,
"minLength": 1
},
"audienceReactions": {
"type": "array",
"items": {
"type": "object",
"required": [
"lens",
"reaction",
"confidence",
"likelyThought",
"friction"
],
"properties": {
"lens": {
"enum": [
"Skeptical technical buyer",
"Busy nontechnical decision-maker",
"Price-sensitive solo user",
"Privacy and security-conscious evaluator",
"Existing customer scanning for regressions",
"First-time visitor with low context",
"Enthusiastic early adopter",
"Support-minded operator anticipating questions"
],
"type": "string"
},
"friction": {
"anyOf": [
{
"type": "string",
"maxLength": 500,
"minLength": 1
},
{
"type": "null"
}
]
},
"reaction": {
"enum": [
"positive",
"mixed",
"negative"
],
"type": "string"
},
"confidence": {
"type": "number",
"maximum": 1,
"minimum": 0
},
"likelyThought": {
"type": "string",
"maxLength": 500,
"minLength": 1
}
},
"additionalProperties": false
},
"maxItems": 8,
"minItems": 8
},
"strongestElements": {
"type": "array",
"items": {
"type": "string",
"maxLength": 400,
"minLength": 1
},
"maxItems": 8
},
"optionalImprovements": {
"type": "array",
"items": {
"type": "string",
"maxLength": 500,
"minLength": 1
},
"maxItems": 10
},
"claimsNeedingEvidence": {
"type": "array",
"items": {
"type": "string",
"maxLength": 400,
"minLength": 1
},
"maxItems": 8
}
},
"additionalProperties": false
},
"requestId": {
"type": "string",
"minLength": 1
}
},
"additionalProperties": false
}
}
}
}
}
}
}Provenance
- Seen in the source catalog
- 2026-09-02 19:25Z
- Last indexed by Roundhouse
- 2026-09-24 09:30Z
- Last enriched (probe, favicon, geo)
- 2026-09-10 05:45Z
- x402 version
- 2
- Max timeout
- 300s
- Liveness probe
- HTTP 404
Hand this page to an agent
Copy the prompt and paste it into Claude, an MCP client or your own agent — it will vet this service and call it over the free read API. No key, no account.
GET api.roundhouseai.io/v0/endpoints
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 30 snapshots so far. Verified volume counts only settlements with an on-chain EIP-3009 marker.
Show the promptHide the prompt
Using Roundhouse, look up the x402 service ReactionCheck and tell me whether it is worth paying: what a call costs, whether the endpoint answered when last probed, and what its payment record actually shows. curl -s 'https://api.roundhouseai.io/v0/endpoints?q=ReactionCheck' curl -s 'https://api.roundhouseai.io/v0/merchants/<the payTo wallet returned above>' Then call it: read the price from the live 402 at https://launchcheck-x402.fly.dev/v1/reaction-check, never from a cached figure, and pay with an x402 client. The /v0 API needs an API key (`authorization: Bearer rh_live_…`) on everything except /v0/unified* and /v0/endpoints. Mint a personal key for $0.01 at GET https://api.roundhouseai.io/v0/test/x402, or use an organization key from https://roundhouseai.io/dashboard/team. If you do not have Roundhouse tools or skills installed, read https://roundhouseai.io/skill.md first — it is the whole procedure.