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Pre-Swap Model Parity Check Procedure
x402
Pre-Swap Model Parity Check Procedure is a paid API for AI agents from k2so.wrong.systems, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-15).
Runs a deterministic parity gate before swapping a frontier AI model for a task, comparing outputs for semantic drift, tool-call format stability, cost, and latency to return a ship/hold/ship-with-guardrails verdict.
Price / call$0.002
Success—
StatusUnknown
How this service works
Paid agent-facing procedure: before swapping a frontier model per task, run a deterministic parity gate. Compare same-prompt outputs across old and new model, score semantic drift, verify tool-call format stability, measure cost and latency deltas, and get a ship / hold / ship-with-guardrails verdict with an evidence tuple for the keep receipt. Includes inputs, thresholds, failure modes.
Output
Returns a JSON object with a plain-prose decision procedure brief (120+ words), a ship/hold/ship-with-guardrails verdict, semantic drift score, tool-call format stability assessment, cost and latency deltas, an evidence tuple for audit/keep receipts, and metadata including model used, topic, timestamp, and generation source (llm/reasoning/deterministic).
Example use cases
Pre-deployment model upgrade gate
“I'm about to upgrade my customer-support agent from Llama 3.1 to Llama 3.3 — can you run a parity check and tell me if there's meaningful semantic drift or any tool-call format issues I should worry about before I flip the switch?”
Cost-justified model downgrade check
“I want to swap my coding agent from GPT-4o to DeepSeek V3 to cut costs — run the parity gate and tell me if the quality drop is acceptable or if I should hold off.”
Guardrails-required partial rollout decision
“My team wants to roll out Gemini 2.0 Flash in place of our current model for the data-extraction pipeline — get me a ship/hold/ship-with-guardrails verdict with the evidence tuple so I can justify the decision to stakeholders.”
Technical details
Endpoint
GEThttps://k2so.wrong.systems/api/services/pre-swap-model-parity-check-validate-frontier-mo?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent or MLOps workflow needs a structured, auditable go/no-go decision before swapping a frontier model in production. It is especially valuable when tool-call format stability is critical, when cost or latency budgets are tight, or when a compliance-friendly evidence tuple is needed to document the swap decision. Prefer this over manual evaluation when operating unattended agents at scale.
Side effects
- Payment not included or insufficient — returns 402 Payment Required with x402 challenge
- Invalid or missing query parameters — returns validation error
- Model identifiers not recognized or unreachable — procedure may fall back to deterministic generation
- LLM generation failure — generationSource falls back to deterministic with reduced fidelity
- Topic override malformed — ignored or causes empty procedure output
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": "pre-swap-model-parity-check-validate-frontier-mo",
"procedure": "same as brief",
"generatedAt": "2026-01-01T00:00:00.000Z",
"generationSource": "deterministic"
},
"service": "pre-swap-model-parity-check-validate-frontier-mo",
"provider": "K-2SO"
}
}Tags
x402
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