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Agent passport

voyage context-4 AI Foundry

Contextualized chunk embeddings with auto-chunking, overlap support, and extended context length.

Category
AI Apps and Agents
Registry category
Software Development
Vendor
MongoDB, Inc. (MONGODB, INC.)
Location
NEW YORK, NY
Reviews
Not rated (0 reviews on the listing)
Listed on
Microsoft Marketplace
Pricing
Not stated
Overall Provenance
3.6/10Moderate
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.

7.4 / 10
Data element
Answer
Provenance
Source
Legal entity
MONGODB, INC.
Per the official register
High
BigPicture company data (mongodb.com), fetched 2026-08-29
HQ address
NEW YORK, NY
Per the official register
High
BigPicture company data (mongodb.com), fetched 2026-08-29
Ownership
Publicly traded company
From outside company data
High
BigPicture company data (mongodb.com), fetched 2026-08-29
Industry
Software & Computer Services / Software
Sector Technology
High
BigPicture company data (mongodb.com), fetched 2026-08-29
Employee count
5,636 employees (5K-10K range)
From outside company data
High
BigPicture company data (mongodb.com), fetched 2026-08-29
Founded
2007
From outside company data
High
BigPicture company data (mongodb.com), fetched 2026-08-29
Revenue
$1B-$10B estimated annual revenue
Estimate; not from filings
High
BigPicture company data (mongodb.com), fetched 2026-08-29
About
Contextualized chunk embeddings with auto-chunking, overlap support, and extended context length.
Publisher description
High

Build Provenance

What the agent is built on.

2.8 / 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
SaaS, hosted by the vendor
From the listing
High
Version history
1.0.0
Registry saw 4 distinct listing states across 11 captures
High

Reach Provenance

How the agent is distributed and adopted.

5.8 / 10
Data element
Answer
Provenance
Source
Distribution channel(s)
Microsoft Marketplace
Via SaaS
High
Review volume & rating
Not available
No ratings on the listing
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 listed since date; last updated 2026-08-12
—
No source on record
Multi-channel presence
Single-channel
Listed on Microsoft Marketplace only in the registry
High
Public community signal
Public repository and vendor social presence
Vendor level signal
High
Vendor website company data (mongodb.com), fetched 2026-08-31
# installs
Not reported
Popularity index 0.25 on the marketplace; not an install count
—
No source on record
Listing type
Standard marketplace listing
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
Legal links on the listing: Privacy Policy, License Terms
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.

0.6 / 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
FedRAMP Authorized, Moderate impact: MongoDB Atlas for Government
On the FedRAMP Marketplace for this vendor's product, matched by web domain; this agent is not named
High
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

Contextualized chunk embedding models are novel neural networks that encode not only the chunk’s own content, but also capture the contextual information from the full document into numerical vectors. They are a crucial building block for semantic search/retrieval systems and retrieval-augmented generation (RAG) and are responsible for the retrieval quality. voyage-context-4 is a next-generation contextualized chunk embedding model that delivers higher retrieval accuracy, more effective long-document support, and built-in auto-chunking, with full support for both overlapping and non-overlapping chunks. Users can submit a full document as a single string and let the backend chunk it automatically, with chunk text returned in the response for inspection and storage. voyage-context-4 delivers approximately 1.4 NDCG@10 points higher chunk-retrieval quality than voyage-context-3 and approximately 8.4 NDCG@10 points higher than cohere-embed-v4.0 across chunk retrieval benchmarks, while removing the 32K-token ceiling through extended context handling via backend partitioning. Enabled by Matryoshka learning and quantization-aware training, voyage-context-4 supports embeddings in 2048, 1024, 512, and 256 dimensions, with multiple quantization options. Learn more about voyage-context-4 here: https://blog.voyageai.com/2026/06/29/voyage-context-4/

Preview

1 image

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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