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Qonoro NAICS/SIC Company Classifier
x402
Qonoro NAICS/SIC Company Classifier is a paid API for AI agents from api.qonoro.ai, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-10).
Classifies a company by name (and optional website/description) into its NAICS 2022 code, SIC code, sector, and confidence score in sub-second time.
Price / call$0.02
Success—
StatusUnknown
How this service works
Classify a company to its NAICS 2022 code and SIC code. Input: company name, optional website, optional description. Output: NAICS code, title, sector, SIC code, confidence score. Deterministic, sub-second. x402-native.
Output
Returns a JSON object with the company's NAICS 2022 code, NAICS title, NAICS sector name and sector code, SIC code, SIC title, a confidence score (0-1), classification source (e.g. keyword match or AI), matched keywords used to classify, a cache-hit flag, optional classification note, and response time in milliseconds.
Example use cases
CRM industry tagging pipeline
“I need to tag all our CRM accounts with their NAICS and SIC codes — start with 'Shopify', their website is shopify.com and they're an e-commerce platform. Give me the code, sector, and how confident you are.”
Investor portfolio sector mapping
“We're building a sector breakdown of our portfolio — can you classify 'Palantir Technologies' using palantir.com and tell me their NAICS code, sector name, and SIC code?”
KYB compliance industry verification
“For our compliance check, what NAICS 2022 classification and SIC code does 'JPMorgan Chase' fall under? Their site is jpmorganchase.com and they're a global investment bank.”
Technical details
Endpoint
POSThttps://api.qonoro.ai/v1/naics/classify?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, deterministic NAICS 2022 and SIC dual-code classification with a confidence score, especially in automated pipelines requiring sub-second latency. It is ideal for B2B data enrichment, compliance workflows, CRM tagging, investor sector analysis, and any agentic flow that needs industry codes without manual lookup. Prefer over generic LLM-based classification when auditability, consistency, and structured output with confidence scoring matter.
Side effects
- Ambiguous or very generic company name with no website may yield low confidence or incorrect classification
- Unknown or obscure companies not in training data may produce lower-confidence results
- Providing only a company name without website or description reduces classification accuracy for companies in niche industries
- Network or payment authorization failures may result in HTTP 402 or 5xx errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| website | string | Optional company website for richer context (e.g. 'stripe.com'). |
| description | string | Optional company description or business summary. |
| buyer_region | string | Optional privacy-safe buyer region for operational reporting. |
| company_name | string | Company name to classify (e.g. 'Stripe'). |
Tags
x402
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