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SearchLiveeip155:8453Exactvia cdp
AudienceSentimentMarket-researchCustomer-feedbackProduct-launch
Calls · 30d
1
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 13 snapshots so far.
$0.64
Verified settled volume
2 settlements proven x402 by their on-chain EIP-3009 marker.
$0.150
Listed price
As published in the catalog. Always read the live 402 before paying.
1
Calls · 30d
Upstream's own call count for this endpoint, not ours.
1
Unique payers · 30d
Last called 2026-09-12 13:57Z
—
Upstream on-chain volume
Reported by the source catalog.
Paid to
0x5AE4864faD7C30A0A903BB7F7F807b9501e35AD8The wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.
Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
Provider
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.
0.15USDC≈ $0.15 USD
on Base · exact scheme
Pay 0.15 USDC on Base to 0x5AE4…35AD8. The signed payment is good for 2 minutes.
- Paid to
- 0x5AE4…35AD8
- USD Coin contract
- 0x8335…02913
- Payment window
- 2 minutes
- As published
- 150000 smallest units
The catalog’s raw entry
[
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x5AE4864faD7C30A0A903BB7F7F807b9501e35AD8",
"amount": "150000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"body": {
"prompt": "Company X launches a $199/month AI note-taker for law firms next week, replacing its $99 plan and adding automatic matter summaries.",
"context": "Mid-size legaltech vendor with 1,200 customers. Competitors charge $49-149/month. Existing customers were promised no price increases during 2026.",
"perspectives": [
"customer",
"skeptical_customer",
"competitor",
"analyst"
],
"output_language": "en"
},
"type": "http",
"method": "POST",
"bodyType": "json"
},
"output": {
"type": "json",
"example": {
"meta": {
"model": "claude-haiku-4-5-20251001",
"network": "eip155:8453",
"provider": "anthropic",
"price_usd": "0.49",
"tokens_in": 1602,
"latency_ms": 35339,
"tokens_out": 1256
},
"version": "0.1.0",
"confidence": 0.72,
"disclaimer": "Analytical multi-perspective simulation generated by a language model. It does not represent real people, a survey, or calibrated probabilities, and it does not predict future events with certainty.",
"request_id": "30af5e94-8f21-430e-8b04-10868494e6a0",
"generated_at": "2026-09-11T19:20:57.855Z",
"perspectives": [
{
"role": "law_firm_partner",
"stance": "negative",
"headline": "Doubling costs without clear ROI justification.",
"reasoning": "Price doubles while value-add is one feature; partners will demand proof that matter summaries save billable time before accepting the increase.",
"sentiment": 28,
"top_appeal": "Automatic matter summaries could cut admin time",
"top_concern": "100% price increase against a 2026 no-increase promise"
},
{
"role": "skeptical_customer",
"stance": "negative",
"headline": "A broken promise, not an upgrade.",
"reasoning": "Existing customers were told prices would not rise in 2026; forcing a migration to $199 reads as bait-and-switch regardless of the new feature.",
"sentiment": 22,
"top_appeal": "None unless grandfathering is offered",
"top_concern": "Trust erosion and forced migration"
},
{
"role": "competitor",
"stance": "positive",
"headline": "An opening to poach price-sensitive firms.",
"reasoning": "Rivals at $49-149 can run switching campaigns aimed at the 1,200 customers who feel misled by the increase.",
"sentiment": 74,
"top_appeal": "Immediate churn opportunity",
"top_concern": "Company X bundling more AI features later"
},
{
"role": "analyst",
"stance": "mixed",
"headline": "Revenue upside real, churn risk underpriced.",
"reasoning": "Doubling ARPU lifts revenue only if churn stays below roughly 50%; a promise reversal makes that assumption fragile.",
"sentiment": 46,
"top_appeal": "Higher ARPU and AI positioning",
"top_concern": "Churn among existing customers"
}
],
"failure_modes": [
{
"likelihood": "high",
"description": "Existing customers churn to $49-149 competitors citing the broken promise."
},
{
"likelihood": "medium",
"description": "Summaries produce errors in client matters, triggering distrust."
}
],
"input_integrity": {
"notes": "",
"status": "clean"
},
"subject_summary": "Company X launches a $199/month AI note-taker for law firms, doubling the price from $99 while adding automatic matter summaries and replacing the previous plan tier.",
"controversy_score": 68,
"key_uncertainties": [
"Actual time saved per matter by the summaries.",
"Whether the new plan includes other upgrades not described."
],
"likely_objections": [
"The 2026 no-increase promise is being broken.",
"A 100% price increase is not justified by a single new feature.",
"$199 sits above the $49-149 competitor range."
],
"overall_sentiment": 42,
"market_implications": [
"Competitors launch switching campaigns targeting Company X customers.",
"Price anchors in legaltech move toward AI-tiered plans."
],
"negative_probability": 0.62,
"positive_probability": 0.38,
"recommended_adjustments": [
"Honor the 2026 price lock for existing customers; grandfather them at $99.",
"Offer $199 as an optional AI tier with a 30-day accuracy trial."
],
"likely_positive_reactions": [
"Automatic matter summaries address a real time sink.",
"Positions Company X as an AI-forward legaltech vendor."
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"required": [
"prompt"
],
"properties": {
"prompt": {
"type": "string",
"maxLength": 6000,
"minLength": 8,
"description": "The subject to simulate reactions to: a product launch, announcement, price change, decision, news item, hypothesis, proposal or URL description. Plain text."
},
"context": {
"type": "string",
"maxLength": 4000,
"description": "Optional background: company, market, target segment, constraints, prior history."
},
"audience": {
"type": "string",
"maxLength": 200,
"description": "Optional primary audience the subject targets."
},
"perspectives": {
"type": "array",
"items": {
"type": "string",
"maxLength": 40
},
"maxItems": 8,
"description": "Optional preferred perspectives. Suggested values: customer, skeptical_customer, developer, investor, competitor, early_adopter, analyst, content_creator, regulatory_risk, market, employee, partner. Free-text roles are accepted."
},
"output_language": {
"type": "string",
"default": "en",
"pattern": "^[a-z]{2}(-[A-Za-z]{2})?$",
"description": "ISO language code for the output text."
}
},
"additionalProperties": false
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object",
"required": [
"request_id",
"version",
"generated_at",
"subject_summary",
"overall_sentiment",
"positive_probability",
"negative_probability",
"controversy_score",
"perspectives",
"likely_objections",
"likely_positive_reactions",
"failure_modes",
"market_implications",
"recommended_adjustments",
"key_uncertainties",
"confidence",
"input_integrity",
"meta",
"disclaimer"
],
"properties": {
"meta": {
"type": "object",
"required": [
"model",
"provider",
"latency_ms",
"tokens_in",
"tokens_out",
"price_usd",
"network"
],
"properties": {
"model": {
"type": "string"
},
"network": {
"type": "string"
},
"provider": {
"type": "string"
},
"price_usd": {
"type": "string"
},
"tokens_in": {
"type": "integer"
},
"latency_ms": {
"type": "integer"
},
"tokens_out": {
"type": "integer"
}
}
},
"version": {
"type": "string"
},
"confidence": {
"type": "number",
"maximum": 1,
"minimum": 0
},
"disclaimer": {
"type": "string"
},
"request_id": {
"type": "string",
"description": "Server-generated UUID for this execution."
},
"generated_at": {
"type": "string",
"description": "ISO 8601 timestamp (UTC)."
},
"perspectives": {
"type": "array",
"items": {
"type": "object",
"required": [
"role",
"stance",
"sentiment",
"headline",
"reasoning",
"top_concern",
"top_appeal"
],
"properties": {
"role": {
"type": "string",
"maxLength": 60,
"minLength": 1
},
"stance": {
"enum": [
"positive",
"mixed",
"negative",
"indifferent"
],
"type": "string"
},
"headline": {
"type": "string",
"maxLength": 200,
"minLength": 1
},
"reasoning": {
"type": "string",
"maxLength": 900,
"minLength": 1
},
"sentiment": {
"type": "number",
"maximum": 100,
"minimum": 0
},
"top_appeal": {
"type": "string",
"maxLength": 300
},
"top_concern": {
"type": "string",
"maxLength": 300
}
},
"additionalProperties": false
},
"maxItems": 8,
"minItems": 3
},
"failure_modes": {
"type": "array",
"items": {
"type": "object",
"required": [
"description",
"likelihood"
],
"properties": {
"likelihood": {
"enum": [
"low",
"medium",
"high"
],
"type": "string"
},
"description": {
"type": "string",
"maxLength": 300,
"minLength": 1
}
},
"additionalProperties": false
},
"maxItems": 10
},
"input_integrity": {
"type": "object",
"required": [
"status",
"notes"
],
"properties": {
"notes": {
"type": "string",
"maxLength": 300
},
"status": {
"enum": [
"clean",
"suspicious"
],
"type": "string"
}
},
"additionalProperties": false
},
"subject_summary": {
"type": "string",
"maxLength": 600,
"minLength": 1
},
"controversy_score": {
"type": "number",
"maximum": 100,
"minimum": 0
},
"key_uncertainties": {
"type": "array",
"items": {
"type": "string",
"maxLength": 300,
"minLength": 1
},
"maxItems": 10
},
"likely_objections": {
"type": "array",
"items": {
"type": "string",
"maxLength": 300,
"minLength": 1
},
"maxItems": 10
},
"overall_sentiment": {
"type": "number",
"maximum": 100,
"minimum": 0
},
"market_implications": {
"type": "array",
"items": {
"type": "string",
"maxLength": 300,
"minLength": 1
},
"maxItems": 10
},
"negative_probability": {
"type": "number",
"maximum": 1,
"minimum": 0
},
"positive_probability": {
"type": "number",
"maximum": 1,
"minimum": 0
},
"recommended_adjustments": {
"type": "array",
"items": {
"type": "string",
"maxLength": 300,
"minLength": 1
},
"maxItems": 10
},
"likely_positive_reactions": {
"type": "array",
"items": {
"type": "string",
"maxLength": 300,
"minLength": 1
},
"maxItems": 10
}
}
}
}
}
}
}
}
}Provenance
- Seen in the source catalog
- 2026-09-12 13:57Z
- Last indexed by Roundhouse
- 2026-09-25 12:10Z
- Last enriched (probe, favicon, geo)
- 2026-09-12 14:45Z
- x402 version
- 2
- Max timeout
- 120s
- Liveness probe
- HTTP 405
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. 13 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 ReactionPulse Quick 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=ReactionPulse%20Quick' 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://reactionpulse-production.reactionpulse-x402.workers.dev/v1/reaction/quick, 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.