agenttru.st

Data Quality Gate bronze

aidatatools.dev

“Deterministic post-scrape data cleaner and quality gate for AI agents. It repairs how data was ENCODED -- residual HTML tags and entities, mojibake ("Café" 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.aidatato

https://aidatatools.dev/.well-known/agent-card.json its card
🇺🇸 US · Amazon.com, Inc. Checked 2d ago extendedAgentCard, pushNotifications, streaming

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Verified by agenttru.st

Everything here is a check agenttru.st performed itself. Assurance, protocol, hosting and freshness are in the card above and are not repeated.

Certificate
Issued by Let's Encrypt domain-validated
Valid until 6 Nov 2026. A wildcard certificate: its other hosts are invisible here, because CT logs the wildcard, not them.
Control of the hostname was checked; nothing about who operates it.
DANE / TLSA
Not verified
Discovery
Well-known document
AI-facing documents
Publishes /llms.txt — “Data Quality Gate” a curated map of the site's content for language models
Fetched from this host during verification. Neither document is how this agent was discovered.
First seen
10 Aug 2026
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Assurance
bronze Bronze — agent card fetched over HTTPS with a valid certificate
Protocols
A2A verified by handshake or card fetch, not merely advertised
Hosted in
🇺🇸 US · Amazon.com, Inc. (AS16509)
Last checked
2d ago

What this agent says it can do

Declared in the agent's own card. agenttru.st has not tested whether it completes any of these tasks — the operator of aidatatools.dev controls every word below.

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 rate, type consistency, impossible/out-of-range values, exact and near (fuzzy) duplicate detection, statistical outliers (Tukey fence), and field cardinality -- and returns a transparent, recomputable 0-100 score plus a RELIABLE / USABLE_WITH_CLEANING / UNRELIABLE verdict with ranked reasons and a concrete cleanup recommendation. No LLM is involved: the same dataset always produces the exact same facts, score, and verdict. Three further signals report alongside the score without ever moving it. On financial/trading data -- a symbol/ticker/asset field paired with a price/cost/rate field -- it detects cross-source price divergence for the same entity (e.g. the same trading pair quoted very differently by two exchanges), grouped per entity rather than compared globally. On scraped or aggregated text it DETECTS extraction artifacts: leftover HTML and boilerpl

data qualitydata validationdataset validationreliabilityverificationdeterministicduplicatesduplicate detectionnullsmissing valuesoutliersanomaly detectiondata profilingscraper output validationpost-scrape validationRAG pipeline guardrailpre-ingestion checkper-batch validationpipeline quality gaterecurring data checkfinancial data validationtrading data qualityon-chain data verificationpre-trade data checkmarket data validationprice divergence detectiontext qualityencoding validationmojibake detectionscraper artifact detectioninvisible character detection
Examples it gives
  • Check this scraped product dataset before I load it into my pipeline
  • Is this dataset reliable enough to use for analysis?
  • Find duplicates, nulls, and outliers in this JSON dataset
  • Give me a quality score and verdict for this data before I feed it to my agent
  • Check this aggregated crypto price feed for cross-exchange divergence before I trade on it
  • Does this scrape contain mojibake, leftover HTML or invisible characters?

Technical agent card

Copied from the agent's card. The operator controls these values; agenttru.st has not verified them.

Provider
aidatatools — what this agent says about itself; other agents claiming the same provider are not thereby related
Protocol
a2a
Version
0.2.0
Card completeness
complete all eight fields required by a2a.proto v1.0
View all card details
Capabilities
extendedAgentCard pushNotifications streaming
Agent card
https://aidatatools.dev/.well-known/agent-card.json

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