Chatbase vs YourGPT: Knowledge, Actions, Handoff and Cost

Compare Chatbase and YourGPT for the same self-serve support job: plan tiers, billing units, training tools, actions, human handoff, and a cost model you can adapt.

Chatbase logoChatbaseYourGPT logoYourGPT

Chatbase and YourGPT both answer website questions from business content. Compare them on what happens when the request needs an order lookup, a booking, or a person with authority to make an exception. The relevant differences are the tools available on your plan, the information carried into handoff, and the credits consumed while completing the request.

This comparison uses plan pages and developer docs from 26 October 2026. Treat resolution stats and marketing claims as vendor-stated goals, not independent benchmarks. What you can verify yourself is the plan structure, the integration list, and how the product behaves in a controlled test.

TL;DR

  • Chatbase bills message credits per month (700 on Hobby, 4,000 on Basic, 15,000 on Business). YourGPT bills an AI credit pool that shrinks faster when you select a heavier model; the units are not exchangeable.
  • A human helpdesk inbox appears on Chatbase Basic ($120/month billed annually) and on YourGPT Professional ($79/month billed annually). Below those plans, plan for handoff separately.
  • Both connect to your site and messaging channels. YourGPT documents native store actions for Shopify when Agent Mode is on; Chatbase lists Shopify integration across paid plans.
  • Before choosing, estimate how many conversations you will see, which model you will run, and what happens at the credit boundary during a spike.

What the current plans actually include

Where vendors once had simple tiers, both products now mix per-seat counts, usage allowances, and feature gates. A side-by-side table keeps the differences visible. All annual figures are dollars per month billed annually.

PlanAnnual rateMonthly rateUsage allowanceKey gates
Chatbase Hobby
$32/mo
$40/mo
700 message credits
2 members, advanced models, 1 agent, 5 AI actions, basic integrations, Shopify included
Chatbase Basic
$120/mo
$150/mo
4,000 message credits
adds 3 members, helpdesk inbox, API, voice, advanced integrations, auto-resync
Chatbase Business
$400/mo
$500/mo
15,000 message credits
adds 5 members, analytics, tickets as source, personalization
YourGPT Essential
$39/mo
$59/mo
10M AI credits
2 chatbots, 3 members, 200 webpages, 20 docs, integrations, monthly content update
YourGPT Professional
$79/mo
$129/mo
30M AI credits
5 chatbots, 5 members, AI Helpdesk, AI Studio, functions, API/webhooks, escalate to human, self-learning
YourGPT Advanced
$349/mo
$499/mo
100M AI credits
10 chatbots, 20 members, AI Studio, weekly updates, custom branding/domain, account manager

The price gap between entry plans ($32 vs $39) is smaller than the gap in what those plans are meant to do. Chatbase Hobby is a lean website-agent tier; YourGPT Essential is a multi-bot entry point. Neither is the same assignment as a full customer support suite.

The billing unit is the first decision

Chatbase calls its meter “message credits.” The pricing page shows how many arrive each month but does not publish a conversion table that turns a typed request into a credit count. You get a monthly allowance, optional auto-recharge at $40 per 1,000 credits, and usage visibility from the dashboard.

YourGPT calls its meter “AI credits,” and the conversion is explicitly model-weighted. The current model docs list rates such as Gemini 2.5 Flash at 0.5x, GPT-4o Mini at 0.5x, GPT-5 at 2x, and Claude Opus 4 at 15x. The same Q&A that consumes 1,000 credits on a light model may consume 30,000 credits on a frontier reasoning model. YourGPT’s pricing FAQ also confirms there is no separate per-message charge; you draw down credits only.

If you compare only plan sticker prices, you may miss the second variable. A $39 Essential plan solves a lot of traffic if you pick a cheap model, yet can exhaust quickly if you switch to Claude Opus. The model choice is as important as the plan level.

A hypothetical month, with assumptions stated

Because neither vendor publishes a universal “conversations per credit” conversion, this sketch is illustrative. It is a worked example, not a vendor claim or a test result. Adjust with your own observed figures after a pilot.

Assume 700 website chats per month, with each chat consuming roughly 1 Chatbase message credit and 3,000 YourGPT AI credits under a mid-tier model. These are working assumptions for the arithmetic, not vendor-provided values.

  • Chatbase Hobby at $32/month lands right at 700 credits. If volume climbs to 1,400 chats, you likely need one $40 auto-recharge, making that month $72. Two recharges make it $112.
  • YourGPT Essential at $39/month: 700 chats × 3,000 credits = 2.1M credits, comfortably inside 10M on a balanced model. Re-run the same math at a 15x model: 700 chats × 45,000 credits = 31.5M, which exceeds the Essential pool before month-end. The fix is not necessarily a higher plan; it may be a cheaper model.
  • If you use Chatbase Basic at $120 with 4,000 credits, you get headroom and the helpdesk inbox. That makes the effective comparison “Chatbase Basic vs YourGPT Professional” when your priority is inbox plus automation.

The lesson: make the invoice forecast from expected traffic, chosen model, and failure mode during a spike.

What differs in knowledge training

Both agents learn from uploaded documents, websites, and text. Their maintenance habits differ.

Chatbase offers auto-resync agents on Basic and above, source suggestions on Business, and tickets as a training source on Business. That makes content freshness an ongoing process rather than a one-time import. It also exposes several advanced model families on every paid plan, including OpenAI, Anthropic, Gemini, DeepSeek, Mistral, and Moonshot.

YourGPT connects more content repositories out of the box: Notion, Google Drive, Confluence, Dropbox, YouTube, and standard files. Its content update cadence is monthly on Essential/Professional and weekly on Advanced. More importantly, it ships debugging and quality features: Training Data Anomaly Detection scans conflicting sources, Training Audit reveals which retrieved chunks fed a response, and Smart Learning suggests knowledge additions from unresolved conversations for human review. These are management tools, not autonomous rewrites. They reduce blind spots, but someone still owns content review.

For a small team, assign knowledge upkeep tasks. If you publish policy edits daily, auto-resync or scheduled refresh matters. If your main concern is catching contradictory answers, YourGPT’s audit and anomaly tooling may shorten diagnosis.

Actions and workflows: where the two diverge

Answer-only bots deflect easy questions; action-taking agents complete requests. Both products advertise actions, but the depth and setup differ.

Chatbase lets you define AI actions and procedures, call APIs, and use prebuilt actions for Slack, Stripe, Calendly, lead capture, human escalation, and web search. Its helpdesk starts at Basic, and its documentation describes an agent that takes actions and hands off when appropriate. For Shopify, the integration list marks Shopify as included starting at Hobby.

YourGPT spreads actions across three layers: function tools, AI Studio guided flows, and AI Copilot. Native store actions are documented for Shopify, WooCommerce, and BigCommerce: product search, product cards, product details, add-to-cart, and view-cart. Those actions activate when the widget runs on the store and require Agent Mode to be enabled. The home page also describes order-status and returns handling, but authorizing a Shopify Admin API token is a permission decision you must review before letting the agent mutate orders. Documentation is not proof that your store’s setup already grants the right scopes.

A failed-action test is the fastest way to compare:

  1. Pick one action you actually run, such as checking an order’s status.
  2. Connect the integration and set the smallest safe scope.
  3. Ask the bot for an existing order, then for a deliberately invalid order.
  4. Watch whether the answer says “done” after the downstream system confirms, or only after the reply text is generated.
  5. Trigger an upstream failure and see whether the bot retries, explains, or silently claims success.

That test is better than any feature list. It tells you whether “action” means completing a write operation or merely describing it.

Deploying to the same channels

Both products publish integration lists beyond the web widget. Chatbase’s docs name Website, Email, Meta Apps, Slack, Zendesk, Phone, and Shopify, with API and voice access gated by plan level. YourGPT documents website builders (WordPress, Webflow, Wix, Shopify), social channels (WhatsApp, Instagram, Telegram, Slack, Discord, Messenger), voice, and helpdesk connectors like Crisp and Intercom. Check the plan matrix for each channel you actually need; some integrations appear only at higher tiers.

Human handoff and the inbox

What happens when the AI should not finish the conversation determines whether you need a second tool.

Chatbase adds a helpdesk inbox on the Basic plan. That means emails, chat threads, and voice calls can live in the same conversation history as AI replies. Business adds tickets as a source and advanced analytics, which is useful if you want the bot trained on past resolutions.

YourGPT’s AI Helpdesk and Escalate to Human are listed on the Professional plan. The platform also documents granular paths: Check with Team keeps the AI in control while a teammate approves behind the scenes, Assign Member hands visibility to a teammate without stopping automation, and Escalate to Human transfers full ownership. Those options matter for approvals, refunds, and sensitive account changes.

If your workflow requires reliable human oversight on day one, your cheapest viable Chatbase plan is Basic ($120), and your cheapest YourGPT plan with escalation is Professional ($79). The extra complexity of YourGPT’s Professional features comes with more controls, but you are responsible for configuring who approves what.

Authentication and private records

A typed email, order number, or account ID is a lookup key, not proof of identity. Customer-specific records and actions require an authenticated customer session or a server-validated identity flow, then object-level authorization on every request. Do not collect passwords, admin tokens, or one-time codes in chat; a secure login or verification screen should handle those. A guest lookup can send a secure link to the stored contact address without exposing records in chat. An agent’s instruction is not backend enforcement. When you test order-status flows, verify that the bot reads the authoritative record after authentication rather than trusting the reply text.

Data portability and exit

Neither vendor’s public documentation in our review specifies a complete export path for conversations, training sources, or configured workflows. Before committing, look in the dashboard for export controls: conversation logs, training source files, and any configuration backup. If you cannot move your trained content and history out, factor that lock-in into the decision. Ask support for a documented data-deletion schedule as well, particularly if you handle regulated customer data.

Which one fits the assignment

Choose Chatbase Hobby when you need a small, predictable website widget with a hard cap on spend, two collaborators, and no requirement for a built-in inbox. Keep auto-recharge if you want a safety net, but be ready for $40 bumps.

Choose Chatbase Basic or Business when the primary need is a unified inbox, voice, API access, and source-driven learning in one product. The larger fixed cost buys breadth, not necessarily deeper action logic.

Choose YourGPT Essential/Professional when you expect multiple agents, model-level cost control, API/webhook workflows, and an action stack you can extend. The credit model rewards teams that know their model costs and review prompts carefully.

Choose YourGPT Professional when you want AI Helpdesk plus human escalation and function execution in the same seat. For Shopify merchants, test the store actions before trusting order-mutation claims.

If you already operate Intercom and want a pay-per-outcome agent that can stay on your helpdesk, Fin at $0.99 per outcome is a different comparison; see our YourGPT vs Intercom analysis.

Before committing, run both widgets on the same twenty support-center articles and count answers a teammate would not send. That exercise does more than any vendor film.

WatchYourGPT: platform overview YouTube

For a structured evaluation beyond credits, our AI agent buying checklist covers the platform-level questions that follow. You can also read the Chatbase review and YourGPT review for deeper feature dives, and browse the chatbot hub for adjacent comparisons.

FAQs

Are Chatbase message credits and YourGPT AI credits the same?

No. Chatbase credits are a monthly message allowance. YourGPT credits are a pool spent according to the selected model and workload. You cannot compare the two units directly, and “1 credit = 1 conversation” is not a safe assumption on either side.

Which plan adds a human helpdesk inbox?

Chatbase lists its helpdesk inbox on Basic ($120/month billed annually); YourGPT lists AI Helpdesk and human escalation on Professional ($79/month billed annually). Lower plans may offer integrations and chat, but not the full inbox experience.

How much does YourGPT model choice affect cost?

Substantially. Current docs list consumption rates from 0.5x for models like Gemini 2.5 Flash and GPT-4o Mini up to 15x for Claude Opus 4. The same questions burn 30 times more credits on the heaviest model. Always confirm the rate on the day you buy.

Does Chatbase handle Shopify well?

Chatbase lists Shopify as an included integration across its paid plans. For order-specific mutations, verify the exact actions available on your plan and test a real order before assuming the bot can update it.

Can YourGPT self-improve without review?

No. Smart Learning generates suggested knowledge improvements from unresolved conversations, and Training Data Anomaly Detection surfaces conflicts, but a human reviews changes before they become trusted knowledge. That is a safeguard, not an automatic rewrite feature.

What should I test before switching?

Run both trials on the same help-center articles, force a failed action, and check when each bot escalates. That test, described in the actions section, counts failures rather than happy-path answers.

Choose a plan around the failed-action test

Use the failed-action and human-handoff tests to identify the minimum plan that completes your support assignment. Then measure credit consumption on that configuration. This gives you a plan requirement and a traffic forecast you can check again when the model, sources, or request mix changes.