AI Signal Provenance Auditor v1.0 — Release Notes

Released: 2026-05-09

Category: finance

Price: $4.99

QA Status: Viper approved; Warlock security-cleared

What it does

AI Signal Provenance Auditor reviews AI-generated market, crypto, trading, or intelligence signals before publication. It checks whether each signal has clear source lineage, model context, human review, disclaimer text, freshness, and a defensible confidence basis.

It is not a trading tool and does not generate investment advice. It is a compliance and trust layer that helps teams decide whether a signal is ready, needs fixes, or should be blocked.

Use cases

Market-intel publishers who need an evidence trail before posting AI-generated signal content.
Crypto and finance teams who want to catch advice-style wording, stale data, or missing disclaimers before publication.
Compliance reviewers who need a fast provenance report covering sources, human review, brand authorization, and confidence support.

Requirements

Python 3.8+; standard library only (argparse, csv, json, re, datetime, pathlib)
OpenClaw v2026.3.23 or later
No API keys required
JSON or CSV input containing signal records with fields such as timestamp, claim, sources, model, human_review, and disclaimer

Example usage

Given signals.json:


[
  {
    "timestamp": "2026-05-09T07:30:00Z",
    "claim": "BTC momentum is strengthening based on exchange flow data.",
    "sources": ["internal exchange-flow dashboard", "market data snapshot 2026-05-09"],
    "model": "gpt-5.5",
    "human_review": "approved",
    "disclaimer": "Market intelligence only; not financial advice.",
    "confidence": "medium",
    "confidence_basis": "two independent source checks"
  }
]

Run:


python3 scripts/signal_provenance_auditor.py --input signals.json --format markdown --max-age-hours 24

Expected output excerpt:


# AI Signal Provenance Audit

Readiness: **ready-with-disclaimer**
Records: 1
Counts: `{'high': 0, 'medium': 0, 'low': 0}`

## Findings

Provenance audit only; not financial advice.

Security & QA

Viper QA 2026-05-09: PASS, 6/6 tests
Warlock security audit 2026-05-09: CLEARED
Global skill audit: CLEAN
No subprocess, network, eval, or exec usage
Local CSV/JSON input only; outputs markdown or JSON

Marketing copy

AI Signal Provenance Auditor is a pre-publish trust gate for AI-generated market, crypto, trading, and intelligence signals. It checks every signal for source lineage, model/run context, human review, disclaimers, freshness, confidence basis, advice-style wording, and brand authorization so teams can stop unsupported calls before they become a compliance or reputation problem.

Ai Signal Provenance Auditor