What The Fact · Tech
Home Dashboard Transparency API ← Consumer site
Audit Trail · Article #2421874

Dayforce in Anthropic’s Claude to Help You Finish Work – Where You Work

Source article ↗ · Financial Post · outlet lean: center-right · owner: Postmedia (corporate)
published 2026-10-27T18:09:15.545218 · ingested 2026-10-27T16:09:15.545218
Bias Analysis · B.I.A.S.
CENTER-LEFT score: -0.20 confidence: 80% vv3
The article focuses on a specific commercial partnership without providing much context or broader implications, which could be seen as limiting the reader's understanding.
Trigger phrases: global leadertoday
computed at 2026-10-27T16:09:15.545218
ML Bias Signal · DistilBERT Zero-Shot (v2)
CENTER score: 0.000 confidence: 57% valhalla/distilbart-mnli-12-3
computed at 2026-10-27T16:19:51.528386-04:00
Ensemble (heuristic + ML v2)
CENTER score: 0.000
Analysis Tier
Tier: quick_v1+full
Tier-1 at: 2026-10-27T16:19:04.670533
Tier-2 at: 2026-10-27T17:46:02.633395
AI analyzed: ✓ at 2026-10-27T16:19:04.670533
Geographic Extraction · L.O.C.A.L.
Country: CA
Province: ON
Scope: provincial
Fact-Check Claims · V.E.R.I.F.Y. (1)
true Dayforce connector will enable joint customers to ask questions and complete work with trusted Dayforce data in Claude — using the permissions and controls they already have in Dayforce
The claim is directly stated in the article and seems to align with the company's stated goals.
A.X.I.O.M. · 2026-10-27T17:46:02.633395
Cross-Outlet Cluster · I.N.K.
Dayforce in Anthropic’s Claude to Help You Finish Work – Where You Work 1 article across outlets
clustered at 2026-10-27T16:09:15.549811
Governance — C.R.E.E.D.
Ethics audit pending — C.R.E.E.D. score not available right now. creed-ai.org ↗
Raw Audit Trail (2 events)
  1. ingested
    payload
    {
      "bias": {
        "band": "center",
        "heuristic_version": "v3",
        "rationale": "triggers: none \u2014 NO SIGNAL DETECTED (not a centrist finding)",
        "score": 0.0,
        "signal_detected": false
      },
      "source_id": 13764
    }
  2. bias_v2_scored
    payload
    {
      "confidence": 0.568,
      "ensemble_band": "center",
      "ensemble_score": 0.0,
      "label": "center",
      "model": "valhalla/distilbart-mnli-12-3",
      "score": 0.0
    }
Every signal computed about this article, with timestamps. Source for the transparency promise behind our methodology.