Suggested Customer Confidence Factor (sCCF)

The Suggested Customer Confidence Factor (sCCF) API OpenAPI specification is available for download here. Explore the API endpoints here.

The Suggested Customer Confidence Factor (sCCF) API delivers machine-generated confidence scores for every customer based on their historical betting behaviour. This insight enables operators to optimise liability management, identify VIPs, and protect against risk-heavy profiles in a scalable, automated manner.

What it does

sCCF is an ML model that profiles player behaviour and returns a suggested confidence factor (ranging from 0.00 to 100.00) for each customer account, shop, or terminal. It operates independently from manually assigned CCF values in MTS and is designed to run continuously, generating up-to-date risk recommendations that can either be consumed passively or automatically integrated into liability limit logic.

The model behind sCCF evaluates numerous behavioural signals, identifying risky and non-risky patterns, and recommending calibrated scores based on the likelihood of a customer becoming a liability to the sportsbook. The output can also be used as a base for auto-CCF updates within MTS.

When it’s triggered

The sCCF model is evaluated daily for active customer accounts, terminals, and shops. It passively monitors activity and updates profiles automatically based on real-time transactional data. API queries can be triggered manually by the operator or integrated into backend processes for scheduled pulls.

Input requirements

Each request must specify the following identifiers:

• bookmaker – the assigned Insight Tech or MTS bookmaker ID

• sub-bookmaker – the sub-entity of the bookmaker (use * to retrieve all sub-entities)

• customer, shop, or terminal – depending on the selected endpoint

Some endpoints also support range filters (lower, higher) or pagination using startKey. A full breakdown of all accepted parameters is available in the Endpoints section.

Output schema

A typical response includes the list of items, and each object under responseItem contains:

• srcId: compound source identifier for internal tracking

• sCcf: the current customer confidence score (a decimal number)

• id: entity identifier

Interpretation guidance

• sCCF values near 1.00 represent default confidence; higher values suggest high reliability and low risk, while lower values indicate potential risk or unverified behaviour.

• Unlike the actual CCF used in MTS validation, sCCF is advisory in nature. It can be used to inform operator workflows, feed into auto-CCF logic, or simply support manual reviews.

• The system does not make any hard assumptions about customer intent – scores reflect pattern-based risk likelihood, not accusations of fraud.

• Operators can compare current CCF to sCCF to evaluate if profiles should be manually adjusted or auto-adjusted via MTS settings.

The API empowers operators to act with confidence, reduce exposure, and deliver a safer, more personalised betting experience. For further integration and automation options, see the Endpoints section.