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Agoranome Machine Buyer Panel
x402
Agoranome Machine Buyer Panel is a paid API for AI agents from api.agoranome.com, paid per call via x402, $1/call, status unknown (last checked 2026-10-28).
Simulates buyer agent decisions to test whether your x402 API listing beats rival offers, returning win-rate stats and actionable edit suggestions for description, price, and output examples.
Price / call$1
Success—
StatusUnknown
How this service works
Will buyer agents choose my x402 API? The Machine Buyer Panel is an A/B conversion test: buyer-agent models choose between your offer and its real Bazaar rivals for up to three tasks, across buyer personas and list positions. Returns your win rate with confidence intervals, why you lost, and up to three truthful edits tested on the same trials.
Output
Returns a JSON object with: a headline string summarizing how many of N simulated buyer decisions favored your listing; a baseline win_rate with point estimate and 95% confidence interval bounds; and an edits array where each item identifies the listing field tested (description, price, or output_example), the direction of change tested, and a verdict of better, worse, or inconclusive.
Example use cases
Pricing competitiveness check
“My API at https://api.mything.com/v1/weather is listed at $0.05 per call — run the buyer panel simulation with task 'evaluate price' and tell me if buyer agents pick me over rivals or if I should lower my price.”
Description copy optimization
“Run a buyer panel test for https://api.mything.com/v1/sentiment with tasks ['compare descriptions','check output example'] so I can see whether my listing description and sample output are convincing buyer agents to pick me.”
New listing pre-launch validation
“Before I launch my new API at https://api.mynewservice.com/v1/translate, can you run it through the Agoranome machine buyer panel with task 'simulate buyer decision' and show me the win rate and any edits I should make before going live?”
Technical details
Endpoint
POSThttps://api.agoranome.com/v1/seller/panel?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you are an x402 API seller wanting a simulated, agent-perspective evaluation of your listing's competitiveness — specifically when you need a quantified win-rate with confidence intervals and field-level edit recommendations. It is more actionable than a static lint check because it models actual buyer agent decision-making rather than rule-based quality flags.
Side effects
- Invalid or unreachable resource URL returns an error rejecting the listing
- tasks array with more than 3 items is rejected by schema validation
- Ambiguous or unrecognized task strings may produce inconclusive verdicts across all edits
- Payment failure or insufficient USDC balance blocks the call entirely
- Low sample size may yield wide confidence intervals making verdicts inconclusive
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| tasks | array | |
| resource | string | Your resource URL |
Output
Schema · Response
{
"type": "json",
"example": {
"result": {
"edits": [
{
"kind": "<description|price|output_example>",
"vs_baseline": {
"verdict": "<better|worse|inconclusive>"
}
}
],
"baseline": {
"win_rate": {
"ci95": [
"<lo>",
"<hi>"
],
"rate": "<0-1>"
}
},
"headline": "Buyer agents picked your offer in <wins> of <n> decisions."
}
}
}Tags
x402
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