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Stellagent, Inc. — Byproduct data from AI-commerce transaction infrastructure. Stellagent builds the rails that let AI agents sell and transact: storefront tooling that opens ecommerce shops inside ChatGPT, a unified commerce/checkout product (Presso, formed by unifying Aurora and Omise AI), protocol support and joint verification for agent-driven purchasing. Its own corpus is therefore agent-initiated commerce data — product-catalog feeds formatted for and consumed by AI agents, agent session-to-checkout transaction records, payment and order data flowing through the checkout layer, plus mac…
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Byproduct data from AI-commerce transaction infrastructure. Stellagent builds the rails that let AI agents sell and transact: storefront tooling that opens ecommerce shops inside ChatGPT, a unified commerce/checkout product (Presso, formed by unifying Aurora and Omise AI), protocol support and joint verification for agent-driven purchasing. Its own corpus is therefore agent-initiated commerce data — product-catalog feeds formatted for and consumed by AI agents, agent session-to-checkout transaction records, payment and order data flowing through the checkout layer, plus machine-readability and protocol-conformance verification results for merchant sites. IMPORTANT PROVENANCE NOTE: the referral-share statistics on this article page (ChatGPT leading at 722 of Top 1000 retailers, Gemini 16->32, Perplexity 8->21, Claude 1->15) belong to Digital Commerce 360 and ReFiBuy's AI Commerce Rankings, and the traffic-quality statistics belong to Adobe Analytics — they are cited third-party research, NOT Stellagent data, and are not licensable from this entity.
From 1 yearsCoverage Information Technology · Consumer DiscretionaryAsset class Equities
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Stellagent, Inc. — Byproduct data from AI-commerce transaction infrastructure. Stellagent builds the rails that let AI agents sell and transact: storefront tooling that opens ecommerce shops inside ChatGPT, a unified commerce/checkout product (Presso, formed by unifying Aurora and Omise AI), protocol support and joint verification for agent-driven purchasing. Its own corpus is therefore agent-initiated commerce data — product-catalog feeds formatted for and consumed by AI agents, agent session-to-checkout transaction records, payment and order data flowing through the checkout layer, plus mac…
Stellagent, Inc. offers (Alternative, Supply Chain, Reference) — Est. low-volume but high-grain: transaction-level records only exist where merchants have actually deployed the storefront or checkout rails, so volume is bounded by merchant count (undisclosed). What likely dominates the corpus is catalog and verification data — every onboarded merchant's full product feed plus repeated machine-readability and protocol-conformance scans — which accumulates faster than transactions. Request further research on both counts..
Ground-truth labels for agentic-commerce models — real agent-initiated checkout attempts with success/failure outcomes, which is the scarcest label class in AI commerce because no analytics tool sees inside the agent transaction; training data for agent-side payment and checkout automation (where agents fail, why a merchant's catalog blocks a purchase); product-catalog corpora formatted for retrieval by shopping agents; machine-readability ground truth paired with actual conversion for content-to-transaction models; and Japan-market agent-commerce adoption data, which is under-represented in every US-centric benchmark.
The data is with 1 years of history.
Coverage spans Japan, US; Application Software, Multiline & Direct Marketing Retail; alternative, supply_chain, reference; equities.
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