Exact use case
This is sales-opportunity scoring, not financial credit scoring.
Credit-risk APIs estimate solvency or default risk. MachineSignal answers a different question: which records in the buyer's existing B2B Italy list deserve internal attention first, and why?
| Capability | MachineSignal DEC-250 |
|---|---|
| Input | Existing Italian B2B company, domain, CRM or lead records. |
| Primary result | Sales-opportunity score, classification, ranking and priority. |
| Explanation | Reason, observable evidence, uncertainty and confidence. |
| Suggested action | Buyer-controlled internal route such as review, watchlist or prioritize. |
| Excluded | Credit risk, target discovery from scratch, contact enrichment and automatic outreach. |
Machine-readable output
One routable decision for every valid input record.
A score alone forces the customer machine to guess what it means. DEC-250 returns the decision envelope needed to rank records and apply the buyer's own policy.
opportunity_scoreand globalrankconfidence,priorityanddecisionreason, observable evidence and uncertaintiessuggested_routefor a buyer-controlled workflow- credit, idempotency and side-effect status
{
"opportunity_score": 86,
"confidence": 0.81,
"priority": "high",
"decision": "prioritize",
"rank": 1,
"reason": "Recurring quoting demand and manual handoffs",
"suggested_route": "review_in_crm",
"external_action_allowed": false
}
Controlled machine purchase
How an authorized external buyer machine starts.
Check fit
Confirm B2B Italy scope and that the buyer already has a company or lead list.
Read contract
Fetch the production OpenAPI and validate the order-intent payload locally.
Submit intent
POST one real MS-DEC-250 intent with buyer authority and a unique idempotency key.
Poll privately
Keep the receipt private and follow authenticated checkout, paid input and artifact actions.