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Material Discovery Service Spend Gate
x402
Material Discovery Service Spend Gate is a paid API for AI agents from k2so.wrong.systems, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-27).
Returns a pay/defer/refuse verdict with explicit thresholds for agents evaluating whether to spend on AI materials-discovery services like Discovered Materials
Price / call$0.002
Success—
StatusUnknown
How this service works
Decision procedure for agents evaluating AI materials-discovery services (Discovered Materials and similar). Inputs: hypothesis strength, candidate count, per-run price, iteration budget, downstream success marker. Outputs: pay, defer, or refuse verdict with explicit thresholds: validation gates before first payment, iteration limits before budget escalation, evidence retention requirements, and refusal conditions when the service cannot produce machine-checkable outputs. Blunt gate, not
Output
A JSON object containing a pay/defer/refuse verdict ('brief' and 'procedure' fields with 120+ words of decision prose), the service slug, provider name, generation source (llm/reasoning/deterministic), and an ISO-8601 timestamp. The procedure includes explicit validation gates before first payment, iteration limits before budget escalation, evidence retention requirements, and refusal conditions when machine-checkable outputs are unavailable.
Example use cases
First-payment validation for materials discovery
“My agent is about to make its first payment to a materials discovery service — hypothesis confidence is high, 30 candidates, $0.10 per run, 5-run budget. Give me the spend-gate decision so I know whether to pay, defer, or refuse before committing anything.”
Budget escalation check mid-experiment
“We've run 8 iterations on a materials discovery task and hit our original budget limit — the hypothesis has strengthened but success markers are still unconfirmed. Should the agent escalate the budget or stop? Give me the gate verdict with thresholds.”
Refuse gate when outputs aren't machine-checkable
“A materials discovery vendor we're considering can't provide machine-verifiable output — just human-readable reports. Run the spend gate against that constraint so my agent knows whether to refuse outright before any payment goes through.”
Technical details
Endpoint
GEThttps://k2so.wrong.systems/api/services/launch-hn-discovered-materials-yc-p26-ai-agents?utm_source=zero.xyzWhen to prefer
Use this endpoint when an autonomous agent needs a structured, explicit decision framework before paying for AI-driven materials discovery services — especially when the agent cannot independently verify output quality, needs iteration budget governance, or requires documented refusal conditions for auditing. Prefer this over general spend-rate anomaly gates when the specific domain is scientific/materials discovery and you need hypothesis-strength and candidate-count aware thresholds.
Side effects
- Service returns non-200 if payment via x402 is not attached (HTTP 402 Payment Required)
- Malformed query params may return a 400 or empty procedure
- If the topic override is unrecognized, the service may fall back to a generic materials discovery procedure
- LLM-backed generation could time out or return a truncated brief
- The meta=1 free metadata call returns schema info only, not a spend verdict
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"paid": true,
"result": {
"ok": true,
"brief": "plain prose decision procedure (120+ words)",
"model": "deepseek/deepseek-v4-flash-0731",
"topic": "string topic",
"service": "launch-hn-discovered-materials-yc-p26-ai-agents",
"procedure": "same as brief",
"generatedAt": "2026-01-01T00:00:00.000Z",
"generationSource": "deterministic"
},
"service": "launch-hn-discovered-materials-yc-p26-ai-agents",
"provider": "K-2SO"
}
}Tags
x402
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