The Ultimate WooCommerce UCP Checklist: What to Do First to See Results

Founders and product teams seeking practical steps to enable agent-driven shopping often face uncertainty about implementation priorities; the first actionable move is to prepare the store’s schema and endpoints woocommerce UCP to communicate reliably with external agents. They must treat the protocol as both an API contract and a UX design problem, balancing product discoverability, inventory fidelity, and checkout integrity. Teams that follow a prioritized checklist reduce time-to-value and lower the risk of breaking core flows when agents begin automated interactions. Founded in 2014, We Are Presta brings over ten years of product and commerce experience to the technical and strategic challenges of integrating modern commerce protocols into WooCommerce stores. This checklist begins with strategy and moves through implementation, testing, security, and compatibility, enabling teams to see measurable results quickly.

Why agentic commerce matters for startups and scale-ups

Agentic commerce changes how customers find and complete purchases by delegating discovery and transaction steps to intelligent agents rather than human browsers. Investors and product leaders expect measurable uplift in acquisition and retention when automation reduces friction across search, comparison and checkout. They often find that the ROI for early integrations is highest when businesses prioritize predictable endpoints and consistent product semantics. The strategic value is amplified for startups because an initial investment in reliable APIs and schemas can be leveraged across channels: voice, chat, and embedded agents, without repeated redesign. This section articulates the commercial logic so teams can justify resource allocation and align stakeholders.

Adopting the Universal Commerce Protocol is a strategic decision that shifts effort upstream, toward data quality and API design. Agents expect structured, machine-consumable information: canonical identifiers, accurate inventory counts, consistent attribute taxonomies, and stable pricing objects. Teams that treat those elements as product features, as opposed to incidental data, enable more dependable automation. This translates into fewer failed checkouts, improved agent recommendations, and less customer support overhead. Decision-makers who measure success through conversion, activation, or retention need to track agent-driven sessions separately and attribute outcomes correctly.

Technical leaders should view UCP readiness as an operational capability rather than a temporary integration. That framing helps prioritize changes relative to other backlog items: schema normalization, endpoint idempotency, and tokenized authentication merit higher priority than cosmetic front-end changes if agent interactions are a target channel. Stakeholders commonly underweight the need for robust testing harnesses that simulate non-human clients, which increases risk during rollout. Adopting a checklist reduces that risk by making the necessary steps explicit and measurable.

Operationally, teams should expect a short runway from initial MVP to production if they adopt an iterative approach: start with discovery and read-only endpoints, then add cart and checkout capabilities under guarded feature flags. That approach minimizes business risk while enabling initial value capture. The checklist below is organized to support this staged rollout, emphasizing what to do first to produce results without destabilizing existing customer experiences. For implementation patterns and architectural guidance, teams can learn more about WooCommerce UCP through curated technical case notes and sample plugins.

What the Universal Commerce Protocol requires from a WooCommerce store

The Universal Commerce Protocol prescribes machine-readable interactions for catalog discovery, inventory checks, pricing, and checkout initiation. Agents expect consistent endpoints that return products, SKUs, availability, and interactive tokens for secure transactions. For a WooCommerce store, this means mapping native structures: products, variations, stock, attributes—into a set of agreed resources with stable JSON schemas. Teams must plan mapping rules for simple products, variable products, subscription-based items, and bundled SKUs. The goal is a predictable contract: the agent requests a resource and receives the same, validated structure every time.

Key technical expectations include idempotent operations for cart and checkout, atomic stock reservation or hold semantics, and deterministic error codes. Agents often retry operations, so endpoints must be tolerant of retries and provide clear status responses. Logging and observability are critical since agentic traffic can produce patterns unlike human interactions—bursting when many agents simultaneously query for price or availability. Architects should plan for horizontal scaling and caching layers for read-heavy endpoints while ensuring write operations maintain transactional integrity.

From a data perspective, canonical identifiers are essential. A product should have an immutable, machine-readable id and SKU, with versioning metadata when prices or fulfillment rules change. Agents rely on stable references to execute multi-step flows where the cart may be assembled over several agent-driven interactions. Without clear identity and versioning, agents risk acting on stale product definitions, leading to failed fulfillments and poor user experiences. Teams should implement deterministic conversions from WordPress post IDs and variation IDs to UCP-compliant identifiers.

Compliance and privacy considerations impose additional obligations: personal data must be handled under consent and retention policies consistent with GDPR and similar regimes when agents process buyer information. Payment tokens and customer identifiers should never be exposed in read endpoints. They must be exchanged using secure, server-side flows with short-lived tokens. Security requirements are covered in more detail later, but they should be part of the design for endpoints from the outset.

• Core mapping checklist for UCP readiness:
  • Provide canonical product IDs and SKUs for all sellable items.
  • Expose read-only discovery endpoints that return normalized product JSON.
  • Implement inventory endpoints with current stock and reservation semantics.
  • Support secure checkout initiation endpoints that accept agent-bound tokens.
  • Ensure error schemas and status codes are machine-friendly.

Mapping commerce primitives into a UCP surface reduces ambiguity for agents and accelerates certification or partner integrations. Teams that complete these mapping tasks first will see the quickest wins because discovery and inventory are the primary blockers for agent-initiated purchases.

Inventory and product schema: what to fix first in WooCommerce

Accurate and consistent product schema is the foundation of any agentic commerce implementation. They must reconcile WordPress product structures with the protocol’s expectations: normalized attribute arrays, explicit fulfillment options, and clear pricing objects. The immediate work typically involves cleaning attribute taxonomies, standardizing unit measures, and ensuring every product variation has a unique, stable SKU. If subscription or bundled products exist, teams should define deterministic expansion rules so agents can predict final SKUs and prices.

Teams should focus on three high-impact areas first: canonical identifiers, stock fidelity, and price determinism. Canonical identifiers prevent mismatches across agent sessions. Stock fidelity prevents overcommitment and customer frustration. Price determinism ensures agents can predict total cost, including taxes and shippin,g before attempting a checkout. Investing time in these areas reduces downstream complexity and avoids emergency hotfixes during launch windows.

• Quick list of schema fixes to prioritize:
  • Normalize attribute names and values (e.g., color, size) into a single taxonomy.
  • Assign and audit unique SKUs for every sellable child item.
  • Add explicit fulfillment metadata (ship-from, lead time, restrictions).
  • Verify price rounding and tax treatment are deterministic and replicable.
  • Ensure images and descriptive fields follow consistent MIME and size rules.

After these fixes, they should generate a validation suite that can run against the live catalog. The suite should flag missing SKUs, inconsistent attribute types, and products without clear fulfillment metadata. Validation reduces surprises during agent-driven discovery and helps engineering teams maintain quality as catalog updates are applied.

Implementing UCP endpoints in WooCommerce: a plugin skeleton and code patterns

Implementing UCP endpoints in WooCommerce usually takes the form of a light plugin that registers REST API routes and maps internal data to the protocol’s schema. The plugin is responsible for authentication, throttle handling, serialization, and idempotency keys for cart operations. A reliable pattern is to isolate schema translation into service classes, keep network handlers thin, and unit-test serialization logic independently.

• Minimal plugin responsibilities:
  1. Register UCP REST routes under a dedicated namespace.
  2. Provide serialization services for products, inventory, and checkout objects.
  3. Implement authentication middleware to validate agent tokens.
  4. Maintain idempotency handlers for cart and checkout writes.
  5. Expose health and capability endpoints for agent discovery.

Example pseudo-structure of a plugin’s route registration in PHP:

add_action('rest_api_init', function() {
  register_rest_route('wearepresta/v1', '/ucp/products', [
    'methods' => 'GET',
    'callback' => ['WPUCP_ProductController', 'listProducts'],
  ]);
  register_rest_route('wearepresta/v1', '/ucp/checkout', [
    'methods' => 'POST',
    'callback' => ['WPUCP_CheckoutController', 'initiateCheckout'],
  ]);
});

Service classes should accept native WooCommerce objects—WC_Product, WC_Order—and return validated protocol objects. Serialization logic should be deterministic and tested with sample fixtures to maintain consistency across releases.

A practical pattern for cart idempotency is to accept an idempotency-key header and store its mapping to the cart state in a short-lived cache. If the same key is presented again, the plugin returns the previous response for the same operation rather than duplicating a cart or creating a double charge. This pattern reduces the risk associated with retries from non-human clients.

• Recommended file layout:
  • src/Controllers/ProductController.php
  • src/Controllers/InventoryController.php
  • src/Controllers/CheckoutController.php
  • src/Services/Serializer.php
  • src/Auth/TokenValidator.php
  • tests/fixtures/*.json

Teams should adopt the plugin skeleton as a starting point and iterate by adding endpoints and features behind feature flags. That reduces risk to the live store while enabling end-to-end development and testing in parallel.

Product discovery endpoints: pagination, filters, and search relevance

Product discovery is where agents begin most workflows; the endpoints must support search, filtering, and pagination semantics that match agent expectations. Agents often request batched results and expect deterministic sort orders across repeated calls. The discovery endpoints should return metadata about total results, page cursors or offsets, and stable ordering hints. Agents may also request contextual relevance signals: popularity, rating, or conversion propensity, so exposing optional relevance metadata is helpful.

• Essential features for discovery endpoints:
  • Cursor-based pagination for large catalogs.
  • Filter parameters for attributes, price, and availability.
  • Full-text search with stemmed matching and synonyms.
  • Relevance signals when available (conversion score, promotional weight).
  • Faceted metadata to support refinement by agents.

Search behavior should be defined and tested: do phrase and partial matches produce acceptable results? Are common synonyms mapped correctly? Agents can surface unexpected intent variations, so the discovery API should be resilient to both precise SKU lookups and fuzzy queries. Teams should include sample queries used by agents in test suites to validate behavior.

Implementing search often requires integrating or extending existing search infrastructure. For stores using native WP queries, significant catalogs can become slow; integrating an indexed search solution or leveraging ElasticSearch can provide predictable latency and more powerful relevance tuning. Search integration should be abstracted behind a service so the discovery endpoint can switch providers without changing the UCP contract.

A short checklist to validate discovery readiness:

• Confirm that pagination scales to catalog size.
• Verify filters return consistent counts and facet metadata.
• Test search quality with representative agent-style queries.
• Ensure search errors return clear, machine-parsable responses.
• Validate that relevance metadata does not expose internal heuristics that could leak sensitive business logic.

Inventory, cart, and checkout endpoints: consistency and idempotency

Inventory changes and checkout flows are the most sensitive parts of an agentic integration. Agents may create carts across multiple sessions and expect the store to honor holds or reservations. The immediate priority is to implement deterministic reservation or hold semantics and idempotent checkout initiation to prevent duplicate charges or overselling.

• Core operational requirements:
  • Implement stock reservation or “hold” APIs with configurable TTL.
  • Ensure cart writes are idempotent using idempotency-key patterns.
  • Provide clear error codes for insufficient stock, price mismatches, and expired holds.
  • Support partial fulfillment semantics for multi-item orders with mixed availability.
  • Emit events or webhooks for downstream systems when holds convert to orders.

Must they design the inventory model to reflect the store’s fulfillment realities: is stock globally shared or per-location? Does the store allow overselling under certain circumstances? Provide explicit fields in the inventory response to describe these constraints. For multi-warehouse or split-fulfillment setups, the inventory endpoint should indicate which items are eligible for each fulfillment path.

Checkout initiation should not finalize payment unless terms and reservation states align. A robust sequence often looks like: 1) agent composes cart; 2) store responds with a quote, availability, and reservation-id with TTL; 3) agent confirms the quote; 4) store creates an order and returns a payment-intent without capturing funds until payment authorization completes. This split reduces friction and enables agent-driven negotiation without unintended captures.

• Practical steps to implement:
  1. Add a holds table or use a cache to persist reservations.
  2. Ensure reservation TTL is configurable and communicated to agents.
  3. Validate incoming carts against live inventory before generating quotes.
  4. Provide reconciliation endpoints to resolve mismatches during checkout.
  5. Test for race conditions where multiple agents target the same SKU concurrently.

Documentation for these behaviors should be machine-readable and available on a capability endpoint so agents can discover supported flows and limits programmatically. That reduces integration uncertainty and improves compatibility with third-party agents.

Authentication, token handling, and security best practices

Security is non-negotiable in agentic commerce. Agents require secure access to protected endpoints, while the store must prevent token leakage, replay attacks, and excessive privilege. The recommended approach is short-lived bearer tokens issued through an OAuth-like flow, scoped to the minimal permissions required. Tokens should be revocable and tied to a tenant or agent identifier.

• Security checklist for UCP endpoints:
  • Use signed JWTs with short expiration and audience scoping.
  • Implement token revocation and rotation mechanisms.
  • Validate tokens at the middleware layer before routing.
  • Require TLS for all endpoints and reject insecure connections.
  • Rate-limit agents and provide discoverable limits via headers.

Handling sensitive operations—like creating orders or exchanging payment tokens—should be mediated by server-side flows where the customer’s payment credentials are never exposed to the agent. Agents should operate with delegated permission, initiating a checkout that then prompts the customer to complete authorization when required. Payment processors commonly support secure payment tokens that can be attached to a UCP checkout flow without exposing raw card data.

Privacy and compliance overlap with security. When agents have access to customer data, consent boundaries and retention policies must be enforced programmatically. The store’s UCP implementation should record the purposes for which any personal data is accessed and provide audit trails that align with privacy regulations. Teams should consult legal counsel for precise obligations but must design APIs with minimal data exposure by default.

Rate limiting deserves attention: agent traffic can be highly concurrent. Implement per-agent and per-tenant limits, and surface these limits via response headers. Provide clear retry-after semantics and status codes to instruct agent behavior. That prevents resource exhaustion and protects human customers who share the same backend.

For implementation, provide common libraries or middleware for token validation and rate limiting. That reduces duplicated effort and ensures a consistent security posture across endpoints.

Testing and validation: simulating AI agents and edge cases

Reliable integrations require robust testing that simulates non-human clients. Test harnesses should include synthetic agents that exercise discovery, cart assembly, and checkout under typical and adversarial conditions. They should validate idempotency keys, reservation TTL behavior, price changes mid-flow, and partial availability.

• Test plan essentials:
  • Unit tests for serialization and schema translation.
  • Integration tests for read-heavy discovery endpoints with large result sets.
  • End-to-end tests that simulate agent flows, including concurrent sessions.
  • Load tests to verify rate limiting and caching behavior.
  • Postman collections or OpenAPI specs for manual verification and partner use.

A practical approach is to maintain a Postman collection or a suite of executable scenarios that mimic common agent behaviors. These collections should be runnable against staging environments and include fixtures for representative SKUs and promotions. Automated pipelines can run the most critical scenarios on each deployment to catch regressions early.

Test cases should include negative and boundary scenarios: price mismatch between quote and checkout, hold expiration mid-transaction, partial fulfillment constraints, and requests with malformed query parameters. Observability plays a role in testing; ensure logs correlate request IDs and idempotency keys so reproducing issues is straightforward.

Teams should also create a “compliance test” that verifies sensitive information is never returned in read endpoints. That prevents accidental exposure and simplifies audits. For simulation, consider using agent frameworks or simple scripts that orchestrate multi-step flows and validate expected state transitions.

• Suggested tooling:
  • Postman for collection-based testing.
  • k6 or JMeter for load testing.
  • PHPUnit or Jest for unit tests on serialization logic.
  • Integration with CI to run critical tests on every pull request.

Documenting test scenarios and sharing them with third-party agent integrators shortens integration cycles and reduces the back-and-forth necessary to certify compatibility.

Performance, caching, and rate limiting for agent-driven traffic

Agentic traffic patterns are different from human browsing: they are often more predictable but denser, leading to spikes in reads and bursts of retries that can stress backends. The immediate priority is to separate read-heavy discovery traffic, ideal for caching, from write-heavy checkout operations that must remain transactional. Caching should be used aggressively for product lists, attribute facets, and static product metadata, with careful invalidation strategies for inventory-sensitive fields.

• Performance measures to prioritize:
  • Implement CDN or edge caching for discovery endpoints.
  • Use a cache layer with short TTLs for inventory snapshots to balance freshness and load.
  • Apply optimistic locking on stock decrement operations and use reserve semantics for holds.
  • Enforce per-agent and global rate limits, with transparent headers indicating limits.
  • Monitor tail latency and error rates for critical endpoints.

A layered caching approach works best: edge caches for static assets and discovery results, application caches for near-real-time inventory snapshots, and persistent storage for authoritative state. Agents can tolerate short staleness windows if the API provides clear availability flags and reservation primitives. Where strict real-time accuracy is required, prefer direct queries to authoritative systems, potentially with transactional locks.

Rate limiting should be conservative by default and configurable per agent. Provide a mechanism for partners to request increased limits for validated agents. Communicate limits through well-known headers—X-RateLimit-Limit, X-RateLimit-Remaining, Retry-After—so agents can implement backoff strategies. Instrumentation should alert on sustained near-limit usage to prompt capacity planning or optimizations.

In production, monitor not only throughput but also business metrics tied to agent interactions: conversion rate for agent-driven sessions, average time from discovery to checkout, and failure rates attributable to reservations or price mismatches.

Compatibility and migration: extensions, subscriptions, and headless setups

WooCommerce stores frequently use extensions for subscriptions, multi-vendor marketplaces, shipping plugins, and headless front-ends. Teams must assess how UCP endpoints will interact with these extensions and plan migration paths to avoid breaking existing customers. The most common compatibility concerns involve subscription renewals, vendor-specific fulfillment rules, and headless authentication flows.

• Compatibility checklist:
  • Map subscription products to UCP schema, exposing recurring billing metadata without leaking billing tokens.
  • For multi-vendor marketplaces, include vendor routing metadata to inform fulfillment decisions.
  • Ensure shipping calculators used by extensions are callable from server-side UCP flows or provide precomputed shipping estimates.
  • Validate that headless front-ends using token-based auth can interoperate with agent authentication patterns.
  • Build adapters for popular extensions rather than trying to retrofit the core plugin for every edge case.

Migration strategies vary by complexity. For stores using subscriptions, the initial rollout may exclude subscription-based purchases from agent flows while providing read-only discovery and quoting. For multi-vendor setups, teams may start by returning vendor metadata and require human confirmation before finalizing checkout. Headless setups often simplify agent integration because they already separate presentation from backend logic, but they still require consistent token handling and permission models.

Document compatibility constraints clearly in the capability endpoint and provide guidance for partners on unsupported product types or extension interactions. This transparency reduces integration friction and expectations mismatch.

UX considerations for agent-driven experiences

Agentic interactions must still respect user expectations and consent; good UX reduces abandonment and support burden. Agents often convey choices to users via conversational interfaces or compact summaries, so the store must provide concise, machine-friendly labels and optional expanded metadata. The product description and images should be optimized for summarization and thumbnail presentation.

• UX elements to prioritize:
  • Provide short and canonical product titles optimized for agent summaries.
  • Include structured bullet points for key product attributes useful in conversation.
  • Supply high-quality thumbnails and an aspect ratio guideline for agent-rendered cards.
  • Expose promotion metadata clearly to avoid mismatches between quoted and final prices.
  • Provide explicit consumer-facing consent flows if the agent will complete purchases on the buyer’s behalf.

Agents may present multiple options to the human decision-maker; shops should optimize for a “one-step confirm” path that reduces cognitive load: clear price, availability, shipping estimate, and expected delivery date. When shipments are split or partial fulfillment is expected, the agent should be able to surface trade-offs; the store’s API should return human-readable reason codes and optional explanatory text to facilitate that conversation.

Designers and product teams should audit product content with an “agent lens”, what will an agent present in a short summary, and does the summary capture the main decision points? Product managers should add a task in their content workflow to validate the canonical summary fields used by agents.

• Quick content checklist:
  • Short canonical title (max 60 characters).
  • Bulleted feature list (3–5 items).
  • Primary thumbnail and two alternate images with aspect metadata.
  • Estimated delivery window and shipping flags.
  • Clear promotional and coupon metadata.

These UX changes often pay off in better human readability across channels in addition to smoother agent interactions.

Monitoring, observability, and incident response for UCP endpoints

Agent-driven traffic requires robust monitoring because automated clients can amplify problems quickly. Observability should link protocol-level request details with business outcomes: which agents are causing inventory contention, which queries lead to abandoned carts, and which endpoints experience the most retries. Instrumentation must capture idempotency keys, reservation identifiers, and request correlation IDs to trace flows across systems.

• Monitoring priorities:
  • Log request and response payloads for failed flows with correlation IDs.
  • Track business KPIs for agent sessions (conversion rate, average cart size).
  • Monitor latency percentiles, error rates, and cache hit ratios for discovery endpoints.
  • Alert on anomalous retry patterns and constraint exhaustion events.
  • Maintain a dashboard focused on agent behavior to surface changes quickly.

Incident response plays a critical role. Teams should prepare runbooks for common failure modes: reservation TTL mismatches, auth token revocation, sudden spikes in agent queries, and inconsistent pricing caches. Runbooks should define mitigation steps—enable read-only mode, increase cache TTLs, throttle agent traffic—and post-mortem obligations to update tests or add compensating logic.

Providing a capability endpoint that returns runtime limits, supported features, and operational status helps partners perform automated checks and adapt gracefully when incidents occur.

Frequently Asked Questions

Will integrating WooCommerce UCP be expensive for early-stage companies?

Integration cost varies by catalog complexity and desired scope. For an MVP focused on discovery and read-only inventory, costs are modest and primarily engineering time to create a lightweight plugin and mapping logic. When agents are allowed to instantiate holds or create orders, additional work is required for idempotency, reservation handling, and secure payment flows. Flexible engagement models and scoped MVPs can reduce upfront investment while enabling rapid testing of agent-driven channels.

How will a plugin understand subscriptions and recurring billing?

Subscriptions require exposing recurring billing metadata without exposing payment instrument details. The canonical approach is to return a product type flag with recurring cadence and billing terms, while requiring human confirmation or an authenticated checkout flow that exchanges secure tokens for subscription creation. Some stores postpone subscription purchases in agent flows until robust server-side handlers exist.

Won’t an agency or third-party provider misunderstand a niche product?

A discovery-led approach helps reduce this risk: agents can be given a capability document and sample fixtures to align expectations. Teams that document product semantics and provide test collections for partners reduce integration friction. Agencies with experience in product-led integrations, like We Are Presta, typically run an initial discovery sprint to capture domain-specific rules before building connectors.

How should teams validate their UCP implementation?

Run a combination of unit, integration, and end-to-end tests that simulate agent flows. Maintain Postman collections or OpenAPI specs for manual verification. Automate critical scenarios in CI and include load testing for discovery and inventory endpoints.

What security patterns are required for agent tokens?

Short-lived JWT bearer tokens with audience scoping and token revocation are recommended. Use middleware to validate tokens and tie privileges to the minimum necessary scope. Do not expose payment tokens in read endpoints.

How do agents handle inconsistent prices or out-of-date inventory?

Design the checkout flow to return a quote possibly with a short TTL and a reservation identifier, and require confirmation prior to payment capture. Provide clear error codes and reconciliation endpoints to surface mismatches and guide the agent toward resolution.

Closing checklist: immediate actions to see results with WooCommerce UCP

Teams that start with a focused, high-impact checklist see faster results: fix canonical IDs and SKUs, normalize attributes, implement read-only discovery endpoints, and add a small set of inventory and reservation primitives. They should instrument and test those flows before enabling order creation by agents. Operational controls—rate limits, token handling, and monitoring—are equally important to sustain production behavior.

• Immediate action list to implement now:
  1. Audit and normalize product SKUs and attributes.
  2. Implement a discovery endpoint with pagination and filters.
  3. Add an inventory endpoint and simple reservation/hold semantics.
  4. Create a small plugin skeleton that registers REST routes and serialization services.
  5. Build test scenarios for agent-like behavior and run them against staging.
  6. Put minimal rate limits and token validation in place.

They should track success metrics tied to agent flows: conversion rate, average order value, and failed reservation percentage and iterate. For teams seeking hands-on help with implementation patterns or to accelerate rollout, Book a 30-minute discovery call with We Are Presta to review architecture, prioritize backlog items, and align the integration to business KPIs.

Sources

1. WooCommerce — Native support feature request for Google’s Universal Commerce Protocol – Feature request and community discussion showing demand for native UCP support.
2. Presta — Universal Commerce Protocol and agentic commerce commentary – Agency perspective on UCP readiness and integration approaches.
3. Presta — Practical notes on WooCommerce AI commerce – Implementation guidance and case-focused insights.

Frequently Asked Questions (final combined section)

Is the risk of overselling higher with agents compared to human customers?

Agents can increase risk if inventory is not managed with reservation semantics; however, the risk is mitigated when the store implements holds with TTLs, idempotency for writes, and transactional stock decrements. Proper logging and reconciliation also reduce the impact of edge cases.

Can headless WooCommerce stores adopt UCP more quickly?

Headless architectures that already separate presentation from backend logic often integrate UCP more smoothly because they have clearer APIs and token flows. They still need to implement protocol-specific endpoints and ensure compatibility with extensions.

How quickly can a small catalog go live with read-only UCP endpoints?

A small, clean catalog can expose discovery and inventory endpoints in a matter of days to weeks depending on engineering capacity. Enabling order creation safely takes longer due to the need for reservations, idempotency, and secure payment token handling.

The checklist, combined with guided technical work and iterations, reduces time-to-value and aligns design and engineering priorities. For direct assistance and tailored estimates, teams can Get a tailored project estimate with We Are Presta to map the implementation roadmap and identify rapid wins.