A2A Card. Structured B2B Information for AI Agents and Agentic Commerce
An A2A Card is a structured representation of a company, product, capability, AI agent or purchasing requirement.
It helps AI systems, answer engines, buyer agents, supplier agents and procurement teams discover, understand, compare, qualify and use complex B2B information.
Traditional websites are primarily designed to be read by people. They may contain valuable information, but that information is often fragmented across product pages, PDF files, company profiles, catalogues, price lists, technical documentation and contact forms.
An AI agent needs a more consistent structure.
It must be able to determine:
- who provides the offer;
- what exactly is being offered;
- which technical parameters apply;
- whether the offer is suitable for a specific requirement;
- what limitations must be considered;
- which commercial conditions are current;
- what evidence supports the claims;
- what information the buyer still needs to provide;
- what business action can be performed next.
The Direct RFQ A2A Card framework brings these elements together in one coherent information architecture.
Primary CTA: Build Your A2A Card
Secondary CTA: View A2A Card Examples
From a Web Page to an Agent-Readable Business Asset
A conventional company or product page may be visible in search results but still be difficult for an AI system to qualify.
The page may contain a product description without:
- a precise model identifier;
- complete technical parameters;
- units of measurement;
- configuration options;
- operating limitations;
- current availability;
- minimum order quantity;
- price validity;
- delivery conditions;
- warranty information;
- documentation status;
- qualification questions;
- a structured RFQ path.
The information may be understandable to an experienced sales representative but ambiguous to an AI system acting on behalf of a buyer.
An A2A Card transforms that page into a structured business asset.
It does not merely describe the offer. It explains how the offer should be identified, evaluated, verified and requested.
What Does A2A Mean?
In the Direct RFQ framework, A2A refers to Agent-to-Agent communication and cooperation.
This includes digital environments in which AI systems may:
- discover companies and products;
- identify suppliers;
- compare offers;
- evaluate technical fit;
- collect missing information;
- request documents;
- prepare requests for quotation;
- communicate with supplier systems;
- recommend purchasing options;
- initiate approved business actions.
An A2A Card provides the information layer required for these processes.
It connects traditional website content with the emerging requirements of AI search, answer engines, agentic commerce and structured B2B procurement.
What Is an A2A Card?
An A2A Card is a structured information object describing one clearly defined business entity.
That entity may be:
- a company;
- a product;
- a production capability;
- a service capability;
- an AI agent;
- a specific purchasing requirement.
Every card should answer five fundamental questions:
- What is being described?
- Who owns or provides it?
- Under which conditions is it relevant or available?
- What evidence supports the information?
- What can the buyer or agent do next?
A complete card should be useful to both human readers and digital systems.
The visible website page remains the primary information source. Machine-readable representations can then be generated from the same verified data.
The Direct RFQ A2A Card Framework
Direct RFQ uses A2A Card as an umbrella concept covering several related card types.
A2A Product Card
Describes a specific B2B product, model, variant or commercial configuration.
It may contain:
- product identity;
- manufacturer;
- model;
- product code;
- technical specifications;
- applications;
- operating conditions;
- limitations;
- compatible materials or systems;
- variants;
- pricing rules;
- availability;
- MOQ;
- lead time;
- delivery;
- warranty;
- service;
- documentation;
- RFQ requirements.
The Product Card answers the question:
What can the buyer purchase, and under which conditions?
CTA: Explore the A2A Product Card
A2A Business Card
Describes a legal business entity and its commercial role.
It may contain:
- legal company name;
- trading names;
- company registration information;
- tax identifiers;
- headquarters;
- operational locations;
- year established;
- ownership relationships;
- markets served;
- company role;
- industries;
- brands;
- certifications;
- authorisations;
- trademarks;
- warehouse capabilities;
- service coverage;
- contact points;
- enquiry routing.
The Business Card answers the question:
Who is the supplier, and why should the buyer trust and qualify this company?
CTA: Explore the A2A Business Card
A2A Capability Card
Describes what a company can manufacture, process, integrate, install, repair, test or deliver.
It may contain:
- capability name;
- process;
- accepted inputs;
- expected outputs;
- technology;
- machinery;
- materials;
- dimensional range;
- tolerances;
- production capacity;
- minimum project size;
- maximum volume;
- quality controls;
- certifications;
- required technical files;
- samples;
- tooling;
- lead-time factors;
- geographic coverage;
- exclusions.
The Capability Card answers the question:
What can this supplier actually do?
CTA: Explore the A2A Capability Card
A2A Agent Card
Describes a functioning AI agent, its capabilities and the conditions under which other agents or systems can interact with it.
The business layer may include:
- agent operator;
- business purpose;
- supported markets;
- declared skills;
- permitted actions;
- transaction limits;
- authentication requirements;
- human approval rules;
- escalation procedures;
- audit policies;
- data access conditions.
The Agent Card answers the question:
What can this agent do, who operates it and how can it be engaged safely?
CTA: Explore the A2A Agent Card
Direct RFQ Card
Describes a specific purchasing requirement.
It may contain:
- RFQ identifier;
- buyer identity;
- request title;
- product or capability required;
- technical requirements;
- quantity;
- units;
- acceptable alternatives;
- delivery destination;
- response deadline;
- required delivery date;
- commercial expectations;
- documentation requirements;
- response structure;
- decision criteria.
The Direct RFQ Card answers the question:
What does the buyer need, and what must the supplier provide in response?
CTA: Explore the Direct RFQ Card
Important Terminology: Direct RFQ A2A Card and the Official A2A Agent Card
The Direct RFQ A2A Card is a proprietary business information framework.
It is designed to describe companies, products, capabilities, agents and RFQs in a structured, agent-readable format.
It should not be confused with the official Agent Card used in the Agent2Agent protocol.
The official A2A Agent Card is a technical discovery document for a functioning AI agent. It describes elements such as:
- the agent’s identity;
- service interfaces;
- supported protocol features;
- authentication requirements;
- declared skills;
- communication endpoints.
A Product Card or Business Card should not be published as an official protocol Agent Card unless a genuine functioning agent and appropriate technical endpoint exist.
The two layers can work together.
For example:
- an A2A Business Card can describe the company operating the agent;
- an A2A Product Card can describe products offered through the agent;
- an A2A Capability Card can describe tasks the company can perform;
- an official Agent Card can explain how another agent communicates with the company’s AI service.
This distinction protects clarity, technical correctness and trust.
Why B2B Companies Need A2A Cards
B2B Information Is Usually Fragmented
A company may publish important information across:
- the homepage;
- product pages;
- industry pages;
- catalogues;
- technical datasheets;
- manuals;
- certificates;
- price lists;
- PDF offers;
- service pages;
- contact forms.
A human buyer may be able to combine these sources manually.
An AI system may struggle to determine:
- which information is current;
- which document relates to which model;
- whether a price is still valid;
- whether the supplier is a manufacturer or distributor;
- whether the company serves a specific country;
- whether the product is available;
- whether an optional feature is included;
- which technical parameters are mandatory.
An A2A Card creates an explicit relationship between these data points.
Marketing Descriptions Are Not Enough
Marketing content often uses general claims such as:
- high quality;
- innovative solution;
- fast delivery;
- competitive price;
- comprehensive service;
- suitable for many applications.
These statements may be useful for positioning but are difficult to qualify.
An AI agent needs more precise information, such as:
- the exact product model;
- measurable performance;
- supported dimensions;
- tested materials;
- delivery region;
- lead time;
- MOQ;
- warranty period;
- document type;
- date of validity;
- exclusions.
The A2A Card adds operational data to the marketing narrative.
Product Pages Rarely Explain the Qualification Process
Complex B2B products often require additional buyer information before a reliable quotation can be prepared.
For example, a supplier may need:
- product dimensions;
- production speed;
- material type;
- package weight;
- operating temperature;
- electrical supply;
- installation location;
- annual consumption;
- expected delivery date.
A standard contact form rarely explains these dependencies.
An A2A Card makes the qualification logic visible.
AI Systems Need Clear Business Relationships
An AI system should be able to distinguish between:
- manufacturer and distributor;
- product and category;
- standard version and optional configuration;
- list price and final quotation;
- stock item and made-to-order product;
- declaration and certificate;
- company claim and third-party evidence;
- commercial offer and archived information.
A2A Cards make these relationships explicit.
Core Architecture of an A2A Card
Every card can be organised into seven information layers.
1. Identity Layer
The Identity Layer establishes what the card describes.
Depending on the card type, it may include:
- canonical name;
- legal name;
- trading name;
- manufacturer;
- brand;
- model;
- SKU;
- product identifier;
- card identifier;
- category;
- card type;
- version;
- publication status;
- language;
- market.
The objective is to avoid entity ambiguity.
2. Descriptive Layer
The Descriptive Layer explains what the entity is and what it does.
It may include:
- summary;
- detailed description;
- intended use;
- industries served;
- applications;
- operating context;
- key benefits;
- supported processes;
- related products;
- relevant capabilities.
The description should be understandable without relying on promotional assumptions.
3. Qualification Layer
The Qualification Layer defines when the offer is suitable.
It may include:
- technical parameters;
- accepted values;
- dimensions;
- units;
- operating limits;
- prerequisites;
- compatibility;
- buyer inputs;
- configuration logic;
- unsuitable applications;
- exclusions;
- required tests;
- sample requirements.
This layer helps an agent determine whether a product, supplier or capability fits the buyer’s requirement.
4. Commercial Layer
The Commercial Layer explains how the offer can be purchased or quoted.
It may include:
- price;
- pricing method;
- price validity;
- currency;
- taxation basis;
- minimum order quantity;
- order increments;
- availability;
- stock status;
- production lead time;
- delivery time;
- delivery territory;
- payment terms;
- Incoterms;
- installation;
- training;
- commissioning;
- warranty;
- service;
- spare parts.
Not every field must be public.
Where exact values cannot be published, the card should explain how they are determined.
5. Evidence Layer
The Evidence Layer supports trust and verification.
It may include:
- datasheets;
- technical manuals;
- declarations;
- certificates;
- test reports;
- drawings;
- quality documents;
- regulatory information;
- manufacturer authorisations;
- trademarks;
- case studies;
- source URLs;
- issue dates;
- document versions;
- responsible organisations.
The card should distinguish between:
- supplier declarations;
- manufacturer declarations;
- third-party certificates;
- independent test results;
- marketing statements.
6. Action Layer
The Action Layer defines what can happen next.
Possible actions include:
- submit an RFQ;
- request a quotation;
- request technical consultation;
- download a document;
- check availability;
- request a sample;
- arrange a product test;
- book a demonstration;
- contact a sales representative;
- contact technical service;
- initiate an order;
- connect to an agent endpoint.
Every action should have clearly defined required inputs.
7. Governance Layer
The Governance Layer defines ownership, validity and control.
It may include:
- data owner;
- card publisher;
- responsible company;
- verification status;
- publication date;
- last update;
- price validity;
- offer validity;
- document validity;
- geographic scope;
- language scope;
- confidentiality;
- permissions;
- transaction limits;
- human approval requirements;
- escalation path;
- archival status;
- changelog.
This layer prevents outdated or unauthorised information from being treated as current.
The FUCTEG Evaluation Framework
Direct RFQ evaluates A2A Cards using the FUCTEG framework.
Findable
Can an AI system find the correct:
- company;
- product;
- category;
- capability;
- document;
- contact point;
- page;
- feed;
- endpoint?
Findability requires clear naming, internal linking, crawlable content and stable identifiers.
Understandable
Can the system correctly interpret:
- the entity;
- product classification;
- technical terms;
- parameters;
- units;
- applications;
- variants;
- limitations;
- business relationships?
Understandability requires precise language and consistent terminology.
Comparable
Can the system compare the offer with relevant alternatives?
Comparable fields may include:
- price;
- capacity;
- performance;
- dimensions;
- material;
- efficiency;
- MOQ;
- availability;
- lead time;
- delivery;
- warranty;
- service;
- total cost.
Comparison does not mean reducing every B2B offer to price.
It means exposing the criteria required for a meaningful decision.
Trustworthy
Can the most important claims be verified?
Trust signals may include:
- identifiable legal entity;
- responsible publisher;
- source document;
- manufacturer information;
- certification;
- declaration;
- test result;
- authorisation;
- case study;
- date;
- version;
- update history.
Trustworthiness also requires clear separation between verified facts and commercial claims.
Executable
Can the AI system or buyer perform a meaningful next action?
The card should support actions such as:
- submitting a qualified RFQ;
- requesting missing information;
- checking stock;
- requesting documents;
- booking a test;
- obtaining a quotation;
- starting an approved transaction.
An executable card explains both the action and the required input.
Governable
Are the rules surrounding the data and actions clearly defined?
Governance may include:
- who owns the data;
- who may update it;
- how long the information remains valid;
- what the agent is permitted to do;
- when human approval is required;
- which markets are covered;
- how errors are escalated;
- how changes are recorded.
Governability becomes increasingly important as AI systems move from recommendation to action.
Human-Readable and Machine-Readable by Design
An A2A Card should begin as a complete, useful and publicly understandable web page.
The visible content should remain the primary source of truth.
Machine-readable representations may then be generated in forms such as:
- structured HTML;
- schema markup;
- JSON-LD;
- public JSON files;
- product feeds;
- RFQ feeds;
- API responses;
- agent resources;
- protocol endpoints.
The data represented in these formats should remain consistent with the visible page.
A machine-readable file should not contain important commercial claims that cannot be found or verified in the human-readable content.
Example A2A Card Structure
A public A2A Card may use a structure such as:
Card Identification
- card name;
- card type;
- card ID;
- version;
- status;
- publication date;
- last update;
- owner.
Entity Identification
- company or product name;
- legal entity;
- brand;
- manufacturer;
- model;
- identifiers;
- category.
Description
- summary;
- detailed description;
- intended use;
- applications;
- industries.
Technical and Operational Data
- parameters;
- units;
- configurations;
- compatibility;
- limits;
- required inputs.
Commercial Data
- pricing;
- currency;
- price validity;
- MOQ;
- availability;
- lead time;
- delivery;
- payment;
- warranty;
- service.
Documentation and Evidence
- datasheets;
- declarations;
- certificates;
- manuals;
- tests;
- source links.
Qualification
- mandatory buyer information;
- optional buyer information;
- decision rules;
- exclusions;
- alternatives.
Direct RFQ
- RFQ identifier;
- fields required;
- response method;
- contact;
- agent endpoint;
- expected response time.
Governance
- verification status;
- responsible party;
- scope;
- restrictions;
- changelog;
- archival policy.
A2A Card Readiness Levels
A company can develop its A2A Card architecture progressively.
Level 1: Published
The relevant company, product or capability information is available on a crawlable web page.
At this stage, the information may still be incomplete or largely descriptive.
Level 2: Structured
The information is organised into consistent sections and fields.
Names, categories, technical parameters, units and relationships are clearly defined.
Level 3: Qualifiable
The card includes enough information to determine technical and commercial suitability.
Required buyer inputs, limitations and qualification questions are visible.
Level 4: RFQ-Ready
The card contains a complete request-for-quotation path.
A buyer or AI system can identify which information must be submitted to obtain a reliable response.
Level 5: Agent-Readable
The card is available in consistent human-readable and machine-readable forms.
Identifiers, versions, relationships and action paths are explicit.
Level 6: A2A Enabled
The card can participate in an operational agent-to-agent workflow.
This may include:
- live data access;
- authenticated interaction;
- agent discovery;
- automatic qualification;
- quotation preparation;
- controlled transaction actions;
- human escalation.
A company does not need to begin at Level 6.
A well-structured HTML card with complete qualification data can already provide significant value.
A2A Card Use Cases
Manufacturers
Manufacturers can use A2A Cards to describe:
- machines;
- components;
- materials;
- production capacity;
- custom manufacturing;
- technical limitations;
- configuration rules;
- documentation;
- installation;
- service.
Distributors
Distributors can clarify:
- represented brands;
- territories;
- stock status;
- delivery areas;
- commercial role;
- warranty responsibility;
- service responsibility;
- authorised support;
- order conditions.
Contract Manufacturers
Contract manufacturers can publish Capability Cards covering:
- processes;
- machinery;
- supported materials;
- dimensions;
- tolerances;
- capacity;
- minimum volumes;
- technical files;
- quality control;
- lead times.
Industrial Service Providers
Service providers can describe:
- service type;
- equipment supported;
- location coverage;
- response time;
- technician qualifications;
- exclusions;
- parts availability;
- service levels;
- emergency procedures.
Procurement Teams
Procurement teams can use Direct RFQ Cards to publish complete requirements and collect comparable responses.
This can reduce:
- incomplete enquiries;
- repeated clarification;
- quotation delays;
- assumptions;
- incompatible proposals;
- inconsistent commercial responses.
AI and Agent Developers
Developers can use A2A Card structures as a business context layer for:
- supplier discovery;
- product comparison;
- buyer agents;
- supplier agents;
- procurement assistants;
- RFQ generators;
- quotation workflows;
- recommendation systems.
Benefits of an A2A Card
Better Discoverability
Clear entities, names, categories and relationships make it easier for search engines and AI systems to locate the correct information.
Better Understanding
Consistent terminology, units, parameters and descriptions reduce ambiguity.
Better Qualification
Technical conditions, limitations and buyer questions help determine whether the offer is relevant before human sales engagement.
Better Comparability
Structured attributes support more meaningful comparison between products, suppliers and capabilities.
Better RFQs
Buyers understand which information must be provided to receive an accurate quotation.
Better Sales Efficiency
Sales teams receive enquiries containing more complete technical and commercial information.
Better Data Reuse
The same verified information can support:
- website pages;
- catalogues;
- sales materials;
- AI assistants;
- feeds;
- procurement systems;
- distributor portals;
- agent workflows.
Better Governance
Versions, owners, validity periods and responsible parties reduce the risk of outdated information being used.
What an A2A Card Does Not Guarantee
An A2A Card improves information quality and operational readiness.
It does not guarantee:
- a specific search ranking;
- inclusion in every answer engine;
- automatic recommendations;
- supplier approval;
- transaction completion;
- legal or regulatory compliance;
- compatibility with every agent platform.
The card must remain accurate, current and supported by real operational capabilities.
An AI-ready description cannot replace:
- technical verification;
- commercial confirmation;
- contractual review;
- security assessment;
- human approval where required.
How We Build an A2A Card
1. Entity Selection
We determine what the card should describe:
- a company;
- a product;
- a product family;
- a capability;
- an agent;
- an RFQ.
Each card should have one primary subject.
2. Source Collection
We review available information, including:
- website pages;
- catalogues;
- datasheets;
- manuals;
- declarations;
- certificates;
- price lists;
- commercial terms;
- service information;
- sales documentation;
- internal product data.
3. Data Gap Analysis
We identify missing or ambiguous information.
Typical gaps include:
- unclear product names;
- missing model identifiers;
- inconsistent units;
- unspecified variants;
- outdated pricing;
- absent lead times;
- unclear delivery terms;
- missing limitations;
- undefined qualification questions;
- unavailable documentation.
4. Information Architecture
We organise the information into:
- identity;
- description;
- qualification;
- commercial data;
- evidence;
- actions;
- governance.
5. Content Development
We prepare the complete human-readable page.
The content should be clear enough for:
- buyers;
- engineers;
- procurement teams;
- sales teams;
- service teams;
- search systems;
- AI agents.
6. Direct RFQ Design
We define the information a buyer must provide.
This may include:
- application;
- product dimensions;
- material;
- quantity;
- operating conditions;
- expected performance;
- delivery destination;
- deadline;
- required documents;
- installation requirements.
7. Structured Data Preparation
Depending on the implementation, the card may also include recommendations or structures for:
- schema markup;
- JSON-LD;
- public JSON;
- data feeds;
- API fields;
- agent resources.
8. Verification and Publication
Before publication, the card should be reviewed for:
- factual accuracy;
- technical consistency;
- current pricing;
- valid documentation;
- correct company identity;
- commercial ownership;
- data scope;
- update responsibility.
What You Receive
The exact deliverables depend on the card type and project scope.
A typical A2A Card project may include:
- recommended page URL;
- page title;
- SEO title;
- meta description;
- focus keyphrase;
- page architecture;
- complete English-language content;
- card field structure;
- technical data map;
- commercial data map;
- qualification questions;
- Direct RFQ section;
- CTA structure;
- trust and evidence section;
- governance fields;
- internal linking recommendations;
- schema recommendations;
- JSON field recommendations;
- implementation roadmap.
A2A Card Governance and Maintenance
An A2A Card should not be treated as a one-time marketing article.
Commercial and technical information changes.
A maintenance process should define:
- who owns the card;
- who approves changes;
- how often data is reviewed;
- which fields have validity periods;
- how outdated prices are handled;
- how archived models are marked;
- how document versions are updated;
- how changes are recorded;
- how agent access is controlled.
Recommended Status Labels
A card may use labels such as:
- Draft;
- Published;
- Verified;
- Commercially Current;
- Update Required;
- Archived;
- Demonstration;
- Public Information Only;
- Company Confirmed;
- Agent Accessible.
These labels help prevent unverified examples from being interpreted as active commercial offers.
Frequently Asked Questions
What is an A2A Card?
An A2A Card is a structured representation of a B2B company, product, capability, AI agent or purchasing requirement.
It helps people and AI systems understand what is being offered, under which conditions and what action can be performed next.
Is an A2A Card a physical or digital business card?
It is a digital business information structure.
It may be published as a web page and represented through structured data, JSON, feeds or agent-accessible resources.
Is A2A Card an official international standard?
No.
The Direct RFQ A2A Card is an independent proprietary framework developed for structured B2B discovery, qualification and RFQ workflows.
It should not be presented as an ISO, IEC, CEN or government standard.
Is the Direct RFQ A2A Card the same as an official A2A Agent Card?
No.
The Direct RFQ framework uses A2A Card as an umbrella term for business information cards.
The official Agent2Agent Agent Card is a technical discovery document for a functioning AI agent.
The two can reference and complement one another.
Can an A2A Card be created without an AI agent?
Yes.
A company can start with a complete human-readable web page and structured information architecture.
A functioning agent, API or endpoint is not required at the first stage.
Can the card work without an API?
Yes.
Structured HTML content, clear sections, identifiers, qualification data and RFQ fields already create value.
Machine-readable files and APIs can be added later.
Does every company need all card types?
No.
A company can begin with the card that addresses its most important business objective.
Common starting points include:
- one A2A Business Card;
- one flagship A2A Product Card;
- one A2A Capability Card;
- one Direct RFQ Card.
Can one card describe an entire product catalogue?
A catalogue-level card can provide an overview, but individual products or materially different variants should usually have separate Product Cards.
This improves identification, comparison and qualification.
Does an A2A Product Card need to include a price?
Not always.
Where exact pricing cannot be published, the card should explain:
- how pricing is calculated;
- which variables affect it;
- what information is required;
- whether a budget range is available;
- how long a quotation remains valid.
Can confidential information be excluded?
Yes.
The public card should include only information approved for publication.
Sensitive data can remain behind authenticated systems or be shared only after qualification.
How often should an A2A Card be updated?
The review frequency depends on the data.
Prices, stock and lead times may require frequent updates. Company identity and core technical specifications may change less often.
Every card should display a last-updated date and clearly identify time-sensitive fields.
Does an A2A Card replace a product information management system?
No.
It can use information from a PIM, ERP, CRM, website, catalogue or document repository.
The card provides a public and operational presentation layer for selected verified data.
Does an A2A Card replace technical consultation?
No.
It can improve preliminary qualification and reduce unnecessary clarification, but complex industrial applications may still require engineering or sales review.
Can A2A Cards support multiple languages?
Yes.
Each language version should preserve the same identifiers, data relationships, units, commercial scope and version status.
Which industries can use A2A Cards?
The framework can be adapted to:
- industrial machinery;
- manufacturing;
- packaging;
- components;
- chemicals;
- ingredients;
- raw materials;
- logistics;
- engineering;
- maintenance;
- contract manufacturing;
- wholesale;
- distribution;
- professional B2B services.
Start with One Card
A company does not need to restructure its entire digital ecosystem at once.
A practical pilot project can begin with:
- one company;
- one flagship product;
- one critical capability;
- one structured RFQ workflow.
This creates a reference model that can be tested, improved and expanded.
The first card can establish:
- naming rules;
- field definitions;
- technical attributes;
- commercial fields;
- qualification logic;
- evidence requirements;
- action paths;
- governance principles.
Once the model is approved, it can be replicated across additional products, capabilities, languages and markets.
Build Your A2A Card
Make Your B2B Information Discoverable, Qualifiable and Actionable
Prepare your company, product or capability for AI search, answer engines, buyer agents and structured procurement workflows.
Start with a single card or develop a complete A2A Card architecture for your organisation.
Primary CTA: Build Your A2A Card
Secondary CTA: View A2A Card Examples
Additional CTA: Request an A2O Readiness Review
Start a Direct RFQ Project
Opening
Prepare your company, product, capability or purchasing workflow for AI-assisted B2B discovery and agentic commerce.
Project types
You can contact Direct RFQ about:
- an A2A Product Card;
- an A2A Business Card;
- an A2A Capability Card;
- a Direct RFQ Card;
- an A2O readiness review;
- an agentic commerce assessment;
- a structured data or card library project.