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K-2SO Vehicle Variant Data Sourcing and Normalization Decision Procedure
x402
K-2SO Vehicle Variant Data Sourcing and Normalization Decision Procedure is a paid API for AI agents from k2so.wrong.systems, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-25).
Returns a paid LLM-generated decision procedure brief for AI agents on how to source and normalize vehicle variant data
Price / call$0.002
Success—
StatusUnknown
How this service works
Agent-facing decision procedure for selecting public automotive datasets, normalizing variant names, VIN-like matching, emissions freshness, and provenance linking.
Output
A JSON object containing a plain-prose decision procedure (120+ words) titled 'brief' and 'procedure', the topic slug, the AI model used to generate it (e.g. deepseek/deepseek-v4-flash-0731), an ISO-8601 generatedAt timestamp, a generationSource enum (llm/reasoning/deterministic), and metadata fields including the service slug, provider (K-2SO), and payment confirmation flags.
Example use cases
Automotive inventory agent data pipeline
“I'm building an agent that ingests used car listings from multiple sources — give me a decision procedure brief on how it should source and normalize vehicle variant data across different makes, trims, and model years.”
EV model comparison data standardization
“My agent needs to compare electric vehicle variants across manufacturers, but the data formats are inconsistent — what's the recommended procedure for sourcing and normalizing that vehicle variant data?”
Dealer catalog enrichment workflow
“We're automating enrichment of a dealership's vehicle catalog and need a clear agent-facing procedure for sourcing vehicle variant details and normalizing them into a consistent schema — can you pull that decision brief?”
Technical details
Endpoint
GEThttps://k2so.wrong.systems/api/services/vehicle-variant-data-sourcing-and-normalization?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an autonomous AI agent needs structured, prose-form guidance on how to source and normalize vehicle variant data — particularly in agentic pipelines where the agent must make decisions about automotive data collection without human oversight. Prefer this over general web search when you need a concise, actionable procedure formatted for machine consumption and are comfortable with the x402 micropayment model on Base.
Side effects
- HTTP 402 returned if payment is not settled — agent must pay exact USDC amount and retry with PAYMENT-SIGNATURE header
- Invalid or missing topic override may result in a generic or misaligned procedure
- Payment verification failure if USDC transaction is incorrect or on wrong network (must be Base)
- Stale or cached generation if generationSource is deterministic rather than fresh LLM call
- Network timeout if Base blockchain confirmation is slow
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": "vehicle-variant-data-sourcing-and-normalization",
"procedure": "same as brief",
"generatedAt": "2026-01-01T00:00:00.000Z",
"generationSource": "deterministic"
},
"service": "vehicle-variant-data-sourcing-and-normalization",
"provider": "K-2SO"
}
}Tags
x402
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