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Agent Inference Cost Per Decision: Model Tier Selection and Compute Budget Gate
x402
Agent Inference Cost Per Decision: Model Tier Selection and Compute Budget Gate is a paid API for AI agents from k2so-8080.on.ascii.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).
Returns a decision procedure for selecting the appropriate LLM model tier and capping inference spend per agent decision, including tier creep detection and cost-value gating.
Price / call$0.002
Success—
StatusUnknown
How this service works
Decision procedure for setting inference spend per agent decision, not per API call. Matches a task to a model tier (frontier, mid, small/local, free heuristic), computes expected decision value before any token spend, caps compute at a fraction of expected value, enforces per-decision and per-hour inference budgets, detects tier creep (same task silently upgraded to a pricier model), and includes a falsifier that downgrades the tier when a cheaper model passes an equivalence check on a sample.
Output
A structured response containing a prose decision procedure brief for agents, the recommended model tier, the topic, the service slug, an ISO-8601 timestamp, and the generation source (llm, reasoning, or deterministic). Guides the agent on how to select model tier, cap compute relative to expected value, enforce per-decision and per-hour budgets, detect tier creep, and run equivalence checks to justify downgrades.
Example use cases
Preventing tier creep in production agent
“My agent keeps silently upgrading to GPT-4 for simple tasks that could run on a smaller model — can you run the inference cost decision procedure to detect tier creep and tell me when to downgrade?”
Capping compute spend before token use
“Before my agent spends tokens on a classification task, I want to check whether the expected decision value justifies the compute cost — can you get the budget gate procedure for that?”
Picking the right model tier for a financial reasoning task
“My agent needs to do financial reasoning and I want to match it to the right model tier — frontier, mid, or small — and set a per-decision inference budget cap. Can you run the tier selection procedure for that topic?”
Technical details
Endpoint
GEThttps://k2so-8080.on.ascii.dev/api/services/agent-inference-cost-per-decision-model-tier-selWhen to prefer
Choose this endpoint when your agent needs a principled, cost-aware decision procedure for selecting LLM model tiers and enforcing inference budgets per decision — especially when tier creep, overspend, or uncontrolled frontier model usage is a concern. Prefer this over ad-hoc cost checks when you need a formalized gate that includes equivalence testing and value-to-compute ratio enforcement.
Side effects
- Payment not included or insufficient (x402 payment required, returns 402)
- Invalid query parameters (non-enum values for meta field)
- Service unavailable or timeout from upstream provider
- Empty or missing topic results in generic procedure rather than task-specific guidance
- Handler failure indicated by ok: false in result object
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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