How much does Catalog cost?

No public pricing (/pricing 404). A free product data audit and discovery calls lead to terms; the Extract API takes an API key with no published rates.

Does Catalog support MCP and tool calling?

Full under the Agentic Index verification standard. Catalog publishes public evidence of Model Context Protocol (MCP) support, tool calling, and API or SDK extensibility for connecting agents to external tools. Evidence basis: A documented API for Catalog's own platform. api.getcatalog.ai documents POST /v2/extract with an x-api-key header, taking product URLs and returning structured product data with options for enrichment, reviews, image tags and country, and. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Catalog require human approval before an agent acts?

Partial under the Agentic Index verification standard. Catalog publishes some public evidence of guardrails or oversight, but narrower than a documented human approval step before an agent acts. Evidence basis: Merchants can review changes and constrain channels, but no sign off gate is stated. The FAQ says every enrichment is reviewable before it goes live and that the merchant can allowlist or blocklist any AI surface. Being reviewable is not an. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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Catalog

Q: Who is Catalog for?

Ecommerce brands and merchants, Retailers on Shopify and WooCommerce, Agent and commerce app builders, AI commerce and fintech developers

Q: What are the best alternatives to Catalog?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Catalog among agent infrastructure platforms are Lemrock, Rye, Stripe, Circuit & Chisel. Each is graded on the same public evidence, and no vendor pays for placement.

Also known as: Agentic Commerce Inc., getcatalog.ai

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Agent infrastructureindependentVerified 2026-09-25

Entry priceNot publicly listed; early accessFull pricing detail

Agentic experience platform for brands: a verified, continuously synced record of every product and a parallel AI storefront with cart and checkout tools for shopping agents, distributed over ACP and UCP.

Catalog, from Agentic Commerce Inc., calls itself the agentic experience platform: a parallel version of a brand's site built for AI agents. It connects to the brand's product source and builds a verified record for each product from the brand's own data, images, reviews and customer questions and from approved outside sources, with price, stock and variants kept in continuous sync.

That record and a set of tools (check availability, quote shipping, add to cart, start checkout) are served to shopping agents from an AI storefront on the brand's own subdomain and distributed over ACP, where agents build a cart and pay inside ChatGPT with the brand as merchant of record, and UCP. Shoppers asking ChatGPT, Gemini, Claude, Perplexity, Amazon Rufus or Walmart Sparky are sent to the real, in stock product page with the right variant selected.

The brand's site, URLs and checkout stay unchanged, every enrichment is reviewable before it goes live, and any AI surface can be allowlisted or blocklisted. A separate Extract API turns any product URL into structured data.

Catalog documents no security posture, deployment options or memory, and the merchant dashboard sits behind sign in. It sells through a free product data audit and discovery calls, with no public pricing. The company raised a $3 million seed round.

Vendor details

Canonical URL

https://www.getcatalog.ai

Subcategory

Agentic commerce storefront and product data layer

Funding status

Seed, $3 million (2026)

Company status

independent

Use cases & customers

Primary use cases

Making a brand's products readable and buyable for AI shopping agentsKeeping product price, stock and variants in sync across AI channelsServing cart and checkout tools to agents over ACP and UCPExtracting structured product data from product URLs

Target customers

Ecommerce brands and merchantsRetailers on Shopify and WooCommerceAgent and commerce app buildersAI commerce and fintech developers

Deployment options

Hosted (AI storefront on the brand's own subdomain)

Integrations

Connects to a brand's product source and serves a parallel agent storefront whose tools let shopping agents check availability, quote shipping, build a cart and check out, distributed over ACP and UCP to ChatGPT, Gemini, Claude, Perplexity, Amazon Rufus and Walmart Sparky; an Extract API turns any product URL into structured data.

In practice

A lighting brand connects its product source and within hours shopping agents in ChatGPT can check stock, quote shipping and add a lamp to a cart from its AI storefront

A merchant reviews Catalog's enrichments before they go live and blocklists one AI surface it does not want to serve

A developer calls the Extract API with a list of product URLs and gets structured product data back

Sources & related URLs

Related / legacy domains

https://api.getcatalog.ai/ https://www.getcatalog.ai/llms.txt

Research sources

https://www.getcatalog.ai/ https://www.getcatalog.ai/llms.txt https://www.getcatalog.ai/about-us https://api.getcatalog.ai/

Agentic Index coverage score

4.5 / 14 capabilities · 32%

Integrations & Tool Calling	Full
Agents take action in the merchant's store through Catalog. The parallel agent storefront exposes tools to shopping agents (check availability, quote shipping, add to cart, start checkout, shown in the homepage's agent session), and Catalog distributes over ACP, where agents discover, build a cart and pay inside ChatGPT with the brand as merchant of record, and UCP (catalog, checkout, identity and loyalty capabilities). The merchant's store is exposed to agents as actions they can take. The earlier site also described source connectors and Stripe checkout. SourceCatalog, getcatalog.ai home and its markdown twin (FAQ, agentic commerce)read 2026-09-25
Workflow Orchestration	Not documented
No workflow model. Catalog extracts, normalizes, enriches and syncs product data and serves it with tools to outside agents; the shopping agent decides the steps. A data pipeline is not multi step agent orchestration. SourceCatalog, getcatalog.ai home and markdown twinread 2026-09-25
Knowledge Grounding & RAG	Full
A maintained structure over the customer's own product knowledge. Catalog builds a record per product from the brand's data, images, reviews, customer questions and approved sources (the homepage record shows revisions, 41 fields from 6 sources and verification times), keeps price, stock and variants in continuous sync, and serves the record to agents at the brand's AI storefront. The result is a persistent, queryable store over the brand's own catalog that stays current. SourceCatalog, getcatalog.ai home and markdown twin (How it works, FAQ)read 2026-09-25
Human Oversight & Guardrails	Partial
Merchants can review changes and constrain channels, but no sign off gate is stated. The FAQ says every enrichment is reviewable before it goes live and that the merchant can allowlist or blocklist any AI surface. Being reviewable is not an approval step the buyer configures. SourceCatalog, getcatalog.ai markdown twin (FAQ)read 2026-09-25
Security, Identity & Governance	Not documented
No access controls or attestation are documented. The Extract API authenticates with an API key header, no roles, SSO, permissions or attestation appear on the site, its markdown twins or llms.txt, and no trust or security page is published. SourceCatalog, getcatalog.ai (home, llms.txt), api.getcatalog.ai and subdomain probesread 2026-09-25
Observability & Auditability	Not documented
Reporting sits behind a login. The earlier homepage described analytics (sessions by channel and product, recommended versus skipped, attribute coverage, a readiness score), but the redesigned site no longer describes any analytics or log surface; its homepage shows an agent's session against a storefront only as an illustration of the product. The merchant dashboard where such reporting would live is at app.getcatalog.ai, which redirects to sign in. SourceCatalog, getcatalog.ai home and app.getcatalog.ai (sign in)read 2026-09-25
Memory & State Persistence	Not documented
Nothing persists state for the agents that call the storefront. The product records Catalog keeps are the application's data about the brand's catalog, not a memory layer. SourceCatalog, getcatalog.ai home and markdown twinread 2026-09-25
Deployment & Data Residency	Not documented
Hosted, with no region or customer environment option. The brand's AI storefront runs on a subdomain of the brand's own domain, hosted by Catalog, and the FAQ says it goes with the brand if it leaves; that is a hostname and portability, not a deployment choice or residency. SourceCatalog, getcatalog.ai markdown twin (FAQ)read 2026-09-25
Prebuilt Agents / Templates / Packs	Not documented
No prebuilt agents or templates. Catalog serves product data and storefront tools to other companies' shopping agents. Category specific product schemas appeared on the earlier homepage, but the current site no longer describes them, and they were data structures rather than agents a buyer adopts. SourceCatalog, getcatalog.ai home and llms.txtread 2026-09-25
Triggers & Channel Coverage	Partial
Work starts on catalog change, mechanism unstated. Price, stock and variant changes sync continuously and enrichment keeps running in the background as the catalog grows and changes, without a caller; the homepage record shows stock polled minutes ago. The storefront itself answers when a shopping agent calls it. No event, webhook or schedule behind the sync is documented. SourceCatalog, getcatalog.ai home and markdown twin (FAQ)read 2026-09-25
Model Flexibility & Routing	Not documented
No model choice. ChatGPT, Gemini, Claude, Perplexity, Amazon Rufus and Walmart Sparky read Catalog's data, which makes it reachable from assistants rather than giving the customer a choice of model, and the models behind its own enrichment are not named or selectable. SourceCatalog, getcatalog.ai markdown twinread 2026-09-25
APIs / SDKs / MCP Extensibility	Full
A documented API for Catalog's own platform. api.getcatalog.ai documents POST /v2/extract with an x-api-key header, taking product URLs and returning structured product data with options for enrichment, reviews, image tags and country, and links to full API documentation. The storefront's agent tools over ACP and UCP are a separate surface for shopping agents. SourceCatalog, api.getcatalog.airead 2026-09-25
Testing, Debugging & Optimization	Not documented
No evaluation of an agent. The free product data audit reports what AI systems get wrong about a brand's products, and the A/B testing of titles and enrichments and the readiness score described on the earlier site measured how assistants surface the brand's listings. Both read the customer's product data and outside assistants, not an agent of Catalog's or the customer's. SourceCatalog, getcatalog.ai (audit, llms.txt)read 2026-09-25
Browser / Computer-use	Partial
Web scraping happens at run time. The Extract API takes any product URL (the example uses Nike, Adidas and ASICS pages) and returns structured data extracted from the live page on request, so fetching the live page is the work itself rather than index building. No agent clicking, navigating or filling an interface is documented. The CatalogBot crawler that feeds the brand records is ingestion rather than interface control. SourceCatalog, api.getcatalog.ai and getcatalog.ai/botread 2026-09-25

The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Pricing

Not publicly listed; early access

Undisclosed; likely managed subscription for brands and usage based API for builders.

What is public

The free audit and a demo path; the Extract API's interface. No prices.

Billing mechanics

Not publicly documented; arranged after an audit or discovery call.

Cost watchouts

Whether the storefront, enrichment and Extract API are priced together or separately, and on what unit (products, calls or channels), is not published.

Variable cost rationale

As a data serving layer and API, cost likely scales with catalog size, refresh frequency, and API call volume, but no public metering detail exists.

Additional watchouts

The site was redesigned around an agent storefront; July's early access language no longer appears.

Sales call required

Yes, required for paid access

Free / trial

Free product data audit

Lowest paid plan

None public.

Key ambiguities

No plan, price or billing unit is public; /pricing returns 404.

Missing data

All prices, the billing unit and contract terms.

Agentic Index verified 2026-09-25

Related vendors

Alternatives to Catalog

The closest documented capability profiles to Catalog among agent infrastructure platforms tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

Lemrock3.5 / 14Adds documented Observability & Auditability and Memory & State PersistenceCatalog vs Lemrock →
Rye5.0 / 14Adds documented Workflow Orchestration and Observability & Auditability
Stripe6.0 / 14Adds documented Security, Identity & Governance and Observability & Auditability
Circuit & Chisel4.5 / 14Adds documented Observability & Auditability and Memory & State Persistence, among others
Nevermined4.5 / 14Adds documented Security, Identity & Governance and Observability & Auditability
Skyfire4.5 / 14Adds documented Security, Identity & Governance and Observability & Auditability

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Compare Catalog with other vendors →Compare all agent infrastructure platforms →See where Catalog ranks →

Data confidence: medium

Head to head

Catalog vs Lemrock