Reference Integration · Prediction Integrity

BetFire AI

An implementation pattern for tamper-evident AI prediction records in a high-trust-deficit category. Every AI-generated pick is certified at issuance and bundled into a daily manifest at period close.

The integration demonstrates the prediction integrity primitives — signed receipts, pre-outcome timestamps, daily manifest certification, and independent public verification — applied to a single live use case.

The challenge

AI prediction platforms operate in a category with structural trust deficits. Readers cannot tell which platforms revise predictions after the outcome, publish only favorable picks, or backfill records that appear to have been issued in advance.

Screenshots are weak evidence. Timestamps in a database are display-only. Even an honest platform has no easy way to demonstrate that the published archive is the complete record of what the AI actually claimed in advance.

The BetFire AI integration solves the verification problem by binding every pick to a signed certificate at issuance — and binding every day's complete pick set to a signed manifest at period close.

The integration pattern

Seven steps. Each one independently verifiable. The full flow takes seconds per pick.

What the integration proves

CertifiedData proves the record. It does not certify outcomes, evaluate accuracy, or claim regulatory standing.

What a reader sees when they verify a pick

The verification surface is the public-facing payoff for the entire integration. A reader who clicks the "Verify this prediction" link on a BetFire pick should land on a page that demonstrates the proof immediately — without requiring them to understand the cryptography.

The pattern: the public verification page fetches the certificate from the CertifiedData verification endpoint, displays the signed prediction payload alongside the recomputed hash, and shows a green check or red warning indicating whether the signature validates. Power users can copy the certificate ID and run the verification independently. The default user just sees that the record holds.

Live verification examples

Surface the proof, not the picks. The examples below show what BetFire AI prediction integrity records look like as certification artifacts — not as wagering content.

Reference records are illustrative until the production BetFire integration is live. Once live, these cards will populate from the real CertifiedData certificate registry.

{
  "artifact_type": "prediction",
  "artifact_schema": "prediction_receipt.v1",
  "source": "betfire-ai",
  "prediction_id": "bf_2026_05_14_001",
  "model_version": "EV-8.2",
  "predicted_at": "2026-05-14T12:03:22Z",
  "certified_at": "2026-05-14T12:03:24Z",
  "outcome_status": "settled",
  "verification_status": "valid"
}

Implementation notes

Machine-readable summary

{
  "concept": "BetFire AI reference integration",
  "concept_type": "reference-integration",
  "canonical_url": "https://certifieddata.io/customers/betfire-ai",
  "parent_concept": "Prediction Integrity",
  "customer_status": "reference-integration",
  "customer_status_note": "Documented as an implementation pattern. Not marketed as a live production deployment unless explicitly stated as such elsewhere.",
  "integration_pattern": [
    "pick_generated",
    "canonical_json_snapshot",
    "sha256_fingerprint",
    "certifieddata_signs_receipt",
    "certification_id_stored",
    "public_verification_page",
    "daily_manifest_certification"
  ],
  "artifact_schemas_used": [
    "prediction_receipt.v1",
    "prediction_manifest.v1"
  ],
  "signing_algorithm": "Ed25519",
  "hash_algorithm": "SHA-256 (RFC 8785 canonicalized)",
  "what_this_proves": "Each pick existed at the certified predicted_at timestamp; no pick has been edited since issuance; the daily archive is complete.",
  "what_this_does_not_prove": "That any individual prediction is correct, calibrated, fair, profitable, or legally compliant."
}