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ReactionPulse Quick
x402
ReactionPulse Quick is a paid API for AI agents from reactionpulse-production.reactionpulse-x402.workers.dev, paid per call via x402, $0.15/call, status unknown (last checked 2026-09-15).
Simulates audience sentiment and reactions to a product launch, announcement, pricing change, or decision from 3 stakeholder perspectives, returning structured JSON with sentiment scores, objections, risks, and suggested fixes.
Price / call$0.15
Success—
StatusUnknown
How this service works
Quick audience reaction check: sentiment analysis and customer feedback simulation for a product launch, announcement, pricing change or decision from 3 stakeholder perspectives. POST JSON {prompt, context?}. Strict JSON: sentiment, objections, risks, fixes. $0.15 USDC on Base, ~10 s.
Output
Returns a JSON object containing a perspectives array with one entry per stakeholder role, each with: role, stance (positive/negative/mixed), headline, reasoning, sentiment score (0-100), top_appeal, and top_concern. Also includes a confidence score, disclaimer, model/latency metadata, and a request_id.
Example use cases
Pre-launch product announcement check
“Before we send out our launch email tomorrow, simulate how our customers, early adopters, and skeptical customers will react to this announcement: 'We are launching a new AI-powered contract review feature, available only on the $299 Enterprise tier.' Flag any objections or risks we should address first.”
Pricing change risk assessment
“We are thinking of doubling our subscription price from $49 to $99 next month. Can you quickly simulate the reactions from a law_firm_partner, a skeptical_customer, and a competitor perspective, so we know what objections and churn risks to expect before we commit?”
Internal decision stakeholder simulation
“We are deciding to sunset our free tier entirely and push all free users to a paid plan. Simulate how our employees, investors, and existing customers would react to this decision — I need the sentiment scores, top concerns, and any fixes we should consider.”
Technical details
Endpoint
POSThttps://reactionpulse-production.reactionpulse-x402.workers.dev/v1/reaction/quickWhen to prefer
Choose ReactionPulse Quick when you need a fast (~10s), low-cost ($0.15) structured reaction simulation from exactly 3 stakeholder perspectives with no configuration overhead. Prefer the sibling ReactionPulse endpoint when you need deeper analysis across 4-6 perspectives with more nuanced output. Best suited for rapid pre-decision checks, lightweight A/B testing of messaging, or automated pipeline steps where speed and structured JSON output matter more than exhaustive coverage.
Side effects
- Prompt too short (under 8 characters) returns validation error
- Prompt exceeds 6000-character limit returns 400 error
- Invalid ISO language code for output_language returns validation error
- Too many perspectives (over 8) returns validation error
- Model timeout or provider error may result in latency exceeding expected ~10s
- Payment failure or insufficient USDC balance returns 402 Payment Required
- Ambiguous or very short prompts may yield low confidence scores and generic reactions
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| prompt | string | The subject to simulate reactions to: a product launch, announcement, price change, decision, news item, hypothesis, proposal or URL description. Plain text. |
| context | string | Optional background: company, market, target segment, constraints, prior history. |
| audience | string | Optional primary audience the subject targets. |
| perspectives | array | 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 | string | ISO language code for the output text. |
Output
Schema · Response
{
"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."
]
}
}Tags
x402
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