Prediction markets are the operational analogue of a regulated trading venue: a control plane that ingests provider data, normalises it across heterogeneous schemas, applies consistency rules, and produces an immutable settlement record. The difference between a marketing-grade integrity claim and one that holds in a regulatory inquiry is the evidence trail.
What follows is the six-control inventory that has held in EU and LATAM regulator-led reviews since 2023, with acceptance criteria, evidence requirements, and the most common failure modes we see in filings.
1. Certified ingestion with schema validation
Every payload from a market-data provider must enter a single ingress with schema enforcement, signing, and a retention policy. Acceptance criteria: each ingest event carries a provider identifier, a schema version, an ingress timestamp, and a SHA-256 hash. Failure mode we see most: ingestion logs that prove receipt but not content (i.e., the regulator cannot reconstruct what arrived).
2. Cross-provider consistency rules
Where two or more providers cover the same market, divergence must be a first-class observable. Define rule cohorts (price, volume, liquidity, settlement window) with thresholds calibrated per market and per provider pair. Acceptance: every divergence trip is recorded with rule key, observed delta, and reviewer chain. Failure mode: divergence logs that capture the trip but not the threshold in force at trip time.
3. Immutable settlement record
The settlement record is the single most-examined artefact in any prediction-market inquiry. It must chain settlements (cryptographic hash of N-1 included in N) and be auditable end-to-end. Acceptance: any settlement can be traced from regulator query back to the source market events through hash verification. Failure mode: settlements stored in a relational database with edit-after access for support staff.
4. Reviewer chain with named operators
Anonymity in the audit trail is the fastest way to lose a credibility argument. Every alert acknowledgement, every override, every kill-switch trip must carry an operator identity. Acceptance: reviewer chain reconstructs to a per-event timeline with named accountability. Failure mode: shared service-account credentials behind everything, leaving the auditor with `system` as the only signature.
5. Pre-trade validation envelopes
Pre-trade validation envelopes for prediction operations are necessary to bound the surface area of any anomaly. Acceptance: each rejection records the envelope in force, the violation, and downstream notification. Failure mode: validations that reject silently and leave no visible trace for the operator who placed the request.
6. Evidence packaging for external review
When the regulator asks, the package must be deliverable in hours, not days. Pre-define the bundle: ingest samples, divergence logs, settlement chain, reviewer-chain export, control inventory, and a mapping to the framework cited (ISO 27001, SOC 2, applicable local). Acceptance: bundle assembled from declared sources with a single command. Failure mode: bespoke bundle reconstruction every time, which always misses something.
What separates good from great
Operators who survive scrutiny are not the ones with the largest control set; they are the ones whose evidence is reproducible without the original on-call team. The discipline is to test your evidence packaging against an external auditor at least twice a year before you need to.
When to involve us
We are the integrity team for venues that want a control plane validated by people who have shepherded packages through EU and LATAM reviews. If you are looking at the six controls above and your evidence answer to any of them is 'we could probably reconstruct it,' that is the conversation.