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External endpointresponds

Data Quality Gate

No-LLM deterministic dataset-quality verdict and score for AI agents. Free MCP tool.

Endpoint URL
https://www.aidatatools.dev/api/mcp_server
Current status
responds
Last checked
Aug 17, 2026, 05:08 AM UTC
Check
MCP initialize · 8s limit
Latency
385 ms
Response record
2 of 2 rounds
Transport
streamable-http
Source
mcp_registry
Registry name
io.github.aidatatools-dev/data-quality-gate

Current observation

This endpoint answered at its latest recorded check.

What this server reports about itself

Self-reported at initialize. Not verified by Licium.

Server name
data-quality-gate
Version
0.1.0
Capability keys
experimental, tools
Tool names
check_dataset_quality, clean_scraped_data, clean_scraped_data_audited
Instructions excerpt

Three tiers over one deterministic engine (no LLM anywhere). 1. check_dataset_quality -- JUDGE a dataset: score + facts + a RELIABLE/USABLE_WITH_CLEANING/UNRELIABLE verdict. Call it when deciding whether to trust a source. 2. clean_scraped_data -- REPAIR data: call it on the output of every scrape or extraction, before using or storing it. Returns the cleaned data itself. 3. clean_scraped_data_audited -- the same repair plus a replayable, reversible ledger of every transformation, for when you must prove what changed. All three are deterministic: the same input always produces the same output, so results can be cached, replayed and audited. This MCP endpoint is free; the REST equivalents are x402-gated (POST /api $0.01, /api/clean $0.04, /api/clean/audit $0.12).

Reported Aug 17, 2026, 05:08 AM UTC.

Check history

Oldest to newest. Each row is one recorded check.

  1. responds
    MCP initialize · 8s limit · HTTP 200 · 1,964ms
  2. responds
    MCP initialize · 8s limit · HTTP 200 · 385ms
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