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Learn moreBold Metrics
Size recommendations that AI shopping agents can call mid-checkout
Advanced API
What is Bold Metrics?
Bold Metrics is a shopping tool. Agentic Sizing Protocol from Bold Metrics lets AI shopping agents request personalized apparel size recommendations with plain-language fit context, built on a digital-twin model and years of body data. Aimed at retailers and agent builders.
Agentic Sizing Protocol (ASP) is a product from Bold Metrics, a San Francisco company that sells body-data and fit technology to apparel brands. ASP packages that technology so an AI shopping agent can request a size recommendation on a shopper's behalf, receive the answer along with fit context, and carry on with the purchase. The problem it targets is a familiar one in agentic commerce: agents can browse and check out, yet they cannot reliably tell a shopper which size to pick. In practice, a shopper answers a handful of simple questions, and the system builds a digital twin from those answers. No photos, body scans or measuring tape are involved. The agent then calls the protocol and gets back a recommendation that goes beyond a letter size. Each measurement carries plain-language fit wording such as "just right" or "slightly snug," garments are scored to express confidence, and outlier detection supplies fallback guidance when an input looks unusual. Fit preferences can be passed along too, for example wanting a jacket looser in the chest to layer over a sweater. Responses are tuned for low token usage and quick turnaround, which matters inside an LLM loop. The protocol is described as agent agnostic, meant to work across any agent, platform or surface so that one integration serves several agentic environments. On security, retailer API credentials are kept away from the agent and from any LLM, and they never show up in responses. Bold Metrics cites more than 250 million digital twins, 12 billion body data points and 750 million fit simulations behind the model, and the page carries an endorsement from Gap Inc.'s chief technology officer. The audience is apparel retailers and brands, plus teams building shopping agents who need sizing as a callable capability. Among alternatives, it sits apart from on-site size charts and quiz widgets by being designed for machine callers. Access appears to be sales-led, through a demo request rather than self-serve signup.
How do you use Bold Metrics?
1Review the protocol overview
Read the Agentic Sizing Protocol page to see how agents call ASP and what the recommendation returns, including fit language and garment scoring.2Check the agentic commerce capability
Look at the Agentic Commerce capability page to see how sizing fits into agent-driven shopping flows before planning an integration.3Request a demo
Submit the demo form to speak with the Bold Metrics team about access, since the site does not describe a self-serve signup.4Connect your catalog and agent
Work with Bold Metrics to link your garment data and point your storefront or shopping agent at the protocol, with credentials kept out of the agent.5Test fit recommendations
Have shoppers answer the short questionnaire and check that the agent returns sizes with fit context and fallback guidance for outliers.
Pros and cons
Pros
- Built for machine callers, so any AI agent can request a size and keep the checkout movingAI
- No photos, scanning or tape measure: a few simple questions build the shopper's digital twinAI
- Returns per-measurement fit wording and garment scoring rather than only a letter sizeAI
- Credentials stay isolated from the agent and any LLM, which suits enterprise security reviewsAI
- Backed by a large body-data set and a named endorsement from Gap Inc.'s CTOAI
Cons
- Only apparel is covered, so it is no help for other product categoriesAI
- Pricing is not published, and access seems to run through a sales demoAI
- Retailers need garment and catalog data on board before recommendations can workAI
- Accuracy and return-reduction claims come from the vendor, with no figures on the pageAI
- Adoption depends on the shopping agents and platforms actually calling the protocolAI
How much does Bold Metrics cost?
Integrations
Designed to work with any AI agent, platform or surface through a single protocol. Specific named integrations are not listed on the page.
Features
Digital twin built from simple questions, no photos or measuring. Personalized size recommendations with per-measurement fit language, garment scoring, outlier detection with fallback guidance, fit preference support, low-token responses, agent-agnostic design and credential isolation.
Frequently asked questions about Bold Metrics
Does Bold Metrics have an API?
Yes, Bold Metrics offers an API.How do you use Bold Metrics?
The walkthrough on this page covers 5 steps: 1. Review the protocol overview 2. Check the agentic commerce capability 3. Request a demo 4. Connect your catalog and agent 5. Test fit recommendations.What platforms does Bold Metrics support?
Bold Metrics is available on Web App.What does Bold Metrics integrate with?
Designed to work with any AI agent, platform or surface through a single protocol. Specific named integrations are not listed on the page.What are the limitations of Bold Metrics?
Only apparel is covered, so it is no help for other product categories. Pricing is not published, and access seems to run through a sales demo. Retailers need garment and catalog data on board before recommendations can work.
