# Data Quality Gate

> Deterministic post-scrape data cleaner and quality gate for AI agents. It repairs how data was ENCODED -- residual HTML tags and entities, mojibake ("CafÃ©" for "Café"), zero-width and invisible characters, non-breaking spaces, stray whitespace -- and never touches what the data SAYS: a negative price or an out-of-range rating is reported, never rewritten. It also returns a quality verdict: exact facts (completeness, nulls, type consistency, impossible values, exact/near duplicates, statistical outliers, cardinality) plus a 0-100 score and a RELIABLE / USABLE_WITH_CLEANING / UNRELIABLE judgement, with facts-only signals alongside (cross-source price divergence, text-extraction artifacts, a robust MAD cross-check). 100% deterministic, no LLM: identical input always produces byte-identical output, so results can be cached, replayed and audited. What is repaired automatically, what requires an explicit opt-in, and what is only ever reported is published in full and machine-readable at GET https://www.aidatatools.dev/api/clean -- readable before paying. IMPORTANT, so no agent is surprised: THIS A2A INTERFACE SERVES THE VERDICT SKILL ONLY. Repair is available over plain REST (POST https://www.aidatatools.dev/api/clean, $0.04 via x402; /api/clean/audit adds a replayable, reversible ledger, $0.12) and is discoverable over MCP at https://www.aidatatools.dev/api/mcp_server.

- **Domain**: `www.aidatatools.dev`
- **Provider**: aidatatools (https://github.com/aidatatools-dev)
- **A2A protocol version**: 1.0
- **Kind**: paid_api
- **Category**: verification
- **Live-responds (last probe)**: True
- **Signed card**: False
- **Streaming**: False
- **Quality score**: 100%
- **Payment protocol**: x402

## Skills
- **Check Dataset Quality** — Deterministically verifies the reliability of a tabular JSON dataset before an agent acts on it. Runs 8 checks -- structural homogeneity, completeness, null rat

## URLs
- Agent card: https://www.aidatatools.dev/.well-known/agent-card.json
- Page (HTML): https://agenstry.com/agents/www.aidatatools.dev
- Documentation: https://www.aidatatools.dev/llms-full.txt
