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Agent passport

Agentic AI Query Optimization

Automatically analyze, optimize and refactor complex SQL queries to reduce execution time and spend

Category
Analytics
Registry category
Software DevelopmentDevOps & CI/CD
Vendor
EPAM Systems, Inc. (EPAM GOVERNMENT SOLUTIONS, LLC)
Location
Not disclosed
Reviews
This marketplace has no ratings
Listed on
Google Cloud Marketplace
Pricing
1 plan listed
Overall Provenance
2.1/10Low
High 7–10Moderate 3–6.9Low 0–2.9

Each fact carries one Provenance score: the average of its Disclosure and Evidence scores, the same rule the page uses for the overall score. Click any score to see the math behind it.

Vendor Provenance

Who actually operates this agent.

3.3 / 10
Data element
Answer
Provenance
Source
Legal entity
EPAM GOVERNMENT SOLUTIONS, LLC
Per the official register
High
HQ address
Not disclosed
No headquarters on the listing or an outside record
Low
No source on record
Ownership
Not disclosed
No ownership on record
Low
No source on record
Industry
Not disclosed
Low
No source on record
Employee count
52,650 employees
From outside company data
High
Wikidata company data (epam.com), fetched 2026-08-31
Founded
1993
From outside company data
High
Wikidata company data (epam.com), fetched 2026-08-31
Revenue
Not disclosed
Low
No source on record
About
Automatically analyze, optimize and refactor complex SQL queries to reduce execution time and spend
Publisher description
High

Build Provenance

What the agent is built on.

1.4 / 10
Data element
Answer
Provenance
Source
Foundation model
Not disclosed on this listing
Low
No source on record
Training data (model)
Not disclosed on this listing
No source discloses model training data
Low
No source on record
Agent framework / tools
Not disclosed on this listing
Low
No source on record
Hosting model
Not applicable: a professional services listing
From the listing
High
Version history
Not disclosed on this listing
Registry saw 2 distinct listing states across 4 captures
Low
No source on record

Reach Provenance

How the agent is distributed and adopted.

4.4 / 10
Data element
Answer
Provenance
Source
Distribution channel(s)
Google Cloud Marketplace
Via Professional Services
High
Review volume & rating
Not available
This marketplace has no rating mechanism
Low
No source on record
Comments (pros)
Not available
No review text on record, so no pros could be drawn from user comments
—
No source on record
Comments (cons)
Not available
No review text on record, so no cons could be drawn from user comments
—
No source on record
Listing tenure
Not disclosed
No first published date on the listing
—
No source on record
Multi-channel presence
Single-channel
Listed on Google Cloud Marketplace only in the registry
High
Public community signal
Not disclosed
No public GitHub, Discord or community metrics found
Low
No source on record
# installs
Not reported
No install count on any marketplace
—
No source on record
Listing type
Professional Services
From the listing
High

Data Provenance

What the vendor discloses about data handling.

1.4 / 10
Data element
Answer
Provenance
Source
Operational data sources
Not disclosed
Low
No source on record
Data residency
Not disclosed
Low
No source on record
Retention & deletion
Not disclosed
Low
No source on record
Published documentation
Documentation and support links on the listing
Links on the listing; documents not fetched by the registry
High
Data access requirements
Not explicitly disclosed
No OAuth scope or permission list found on the listing
Low
No source on record

Compliance Provenance

What standards the vendor meets, and who verified them.

0.0 / 10
Data element
Answer
Provenance
Source
Security
SOC 2
None on record
Low
No source on record
ISO/IEC 27001
None on record
Low
No source on record
ISO/IEC 27002
None on record
—
No source on record
ISO/IEC 27017
None on record
—
No source on record
SOC 3
None on record
—
No source on record
CSA STAR
None on record
—
No source on record
Privacy
GDPR
None on record
Low
No source on record
COPPA
None on record
—
No source on record
FERPA
None on record
—
No source on record
ISO/IEC 27018
None on record
—
No source on record
Health
HIPAA
None on record
Low
No source on record
HITRUST CSF
None on record
—
No source on record
Financial
SOC 1
None on record
—
No source on record
PCI DSS
None on record
—
No source on record
SOX
None on record
—
No source on record
Government
FedRAMP
Not found on the FedRAMP Marketplace
Checked by the vendor's web domain on 2026-08-27
Low
CMMC
None on record
Low
No source on record
NIST SP 800-171
None on record
—
No source on record
AI
NIST AI RMF
None on record
Low
No source on record
Platform
3rd party certification
None on record
Low
No source on record

What the publisher says

  • Agent Name & Partner: Agentic AI Query Optimization, EPAM Systems

Core Function: The system utilizes a range of optimization strategies, including: Readability (Modular CTE structure), Data Access (Early filtration, Smart JOIN ordering, Column pruning), Storage Optimization (Smart Partitioning, Clustering), and Execution Efficiency (Minimize shuffling, Reduce intermediate data).

Agentic Nature of Solution: The solution is a multi-agent system where a central "Coordinator" agent demonstrates planning and autonomous decision-making. Given a goal (an unoptimized query), it plans a workflow by delegating tasks to specialized agents (De-monolith, SQL Optimization, Table Optimizer, Score/Report). These agents reason about the best optimization strategies and use tools (BigQuery, LLMs) to execute their tasks, showcasing a clear, goal-oriented, and agentic process.

Show the rest of the publisher’s description (8 more lines)
  • Business Problem & Target Audience

Problem Solved: Automatically refactor and optimize BigQuery SQL queries to reduce costs and improve performance.

Primary Users: Data Engineering, FinOps, Cloud Cost Optimization

  • Quantifiable Business Impact

Key Metrics: Reduction in query execution duration and decrease in total slot time consumed

  • Essential Filtering Tags

Industry Vertical: Cross-Industry

System Connectors:BigQuery, CI/CD pipelines (via Cloud Build), Cloud Composer, Looker Studio

Plans and pricing

1 plan listed

Starter—

Linked repositories

Unknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed.

Publisher resources

Sources

Reading the score

Disclosure · how many sources corroborate it

NoneNo source has it. Shown red, because Unknown means Unknown.
1 sourceA single place has it. A listing and its certification page and policy docs on one marketplace count as one source.
2+ contestedTwo or more sources cover it but they do not agree. The disagreement is shown, never dropped.
2+ agreeingTwo or more genuinely separate sources agree: another marketplace, or an outside record.
Steps below are possible but not automated yet, so today they sit open.
SettleTop confirmedSettleTop confirms it directly.

Evidence · what kind of evidence backs it

NoneNo source discloses it.
PublicPublicly available info, such as reviews, listing age, or vendor firmographics like legal entity and headquarters.
Vendor statedThe vendor's own claim on its marketplace listing, website, or policy documents.
Self-attestedThe vendor's self-attested certification or operator program, a marketplace program rather than an independent audit.
Steps below are possible but not automated yet, so today they sit open.
Vendor providedThe vendor hands SettleTop the underlying material, such as an SBOM or a data policy.
Vendor attestedThe vendor signs an attestation to SettleTop.
SettleTop verifiedSettleTop verifies it directly.

The SettleTop steps above are possible but not automated yet, so today they sit open and a perfect 10 is out of reach. Open information like firmographics and reach has fewer steps to climb, so it sits a little higher for the same visible evidence.

Information shown here reflects the best available information at the time of assessment and may be incomplete, outdated, or subject to change. It should be independently verified before being relied upon for any decision. SettleTop is not liable for any errors, omissions, or decisions made in reliance on this information.

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