MegaCHAT
MegaCHAT scores 44/100 on xpay's Agent-Ready Index v2: partial pricing visibility; self-serve checkout is available; a free entry path exists.
MegaCHAT pricing
Free
Free
foreverAdvanced
$868/mo
flatProfessional
$1868/mo
flatHow MegaCHAT scores on the agent-ready dimensions
Public pricing visibility
15 / 15
Self-serve checkout
15 / 15
Public API + docs
0 / 20
Usage-based / metered pricing
0 / 20
Free entry path
7 / 7
No sales call required
7 / 7
Card / wallet / x402 payment
0 / 6
Machine-readable bonus (MCP / OpenAPI)
0 / 10
Total
44 / 100
What it actually costs at typical scale
Free plan, basic usage
$0/mo
Advanced plan, single admin
$868/mo
Professional plan, single admin
$1868/mo
Can an autonomous agent transact here?
Can create account
Can enter payment method
Can upgrade plan
Can buy more usage
Can cancel online
Payment methods
Unknown
Human approval recommended
Pricing transparency
full
Purchase motion
self_serve
Demo required
Quote required
Annual commit required
Auto-renewal mentioned
Cancellation policy visible
Refund policy visible
Invoice payment available
Unknown
Purchase orders supported
Unknown
MSA required
Unknown
DPA available
Unknown
Security review required
Unknown
Trial
Available, no card
Positioning & ecosystem
“MegaCHAT 是一個用於全渠道銷售和營銷自動化的銷售聊天機械人化平台。”
Buyer persona
Six-step check: can an agent actually buy from MegaCHAT?
Discover price
Select a plan
Pay per task
Avoid a sales call
API docs without auth
Estimate cost upfront
Pros and cons for AI agents
Observational summary written by xpay from the signals captured on 2026-05-06. Not a review of the product — only of its current pricing posture for agent buyers.- Pricing is publicly visible on an indexable page — agents can read tiers without scraping past auth.
- Every advertised tier is self-serve; no tier requires scheduling a call.
- No per-unit price was advertised, so an agent has no way to estimate the cost of a single task.
- API documentation is gated or absent; an agent cannot inspect the integration surface without authentication.
- No /.well-known/ai-pricing.json or equivalent machine-readable pricing manifest is published — agents must rely on HTML scraping.
- The pricing URL did not render numeric tier data on the scoring date — possibly a router or sales-led landing page.
How MegaCHAT could lift its score
Add a per-unit price (e.g. $X / 1K calls) to the pricing page so an agent can compute its own cost before committing.
| pricing_visible | false |
| headline_phrasing | MegaCHAT — 額外1000 個會話(GPT寶): $300 |
| tier_count | 0 |
| lowest_paid_entry_usd | null |
| free_tier | false |
| free_tier_terms | null |
| per_unit_price | null |
| annual_required | false |
| self_serve_paid_tiers | 0 |
| sales_only_tiers | 0 |
| public_api_docs_url | https://www.megachat247.com/docs |
| api_docs_auth_walled | false |
| ai_pricing_json_present | false |
| agents_txt_present | false |
| anonymous_purchase_path | false |
| per_unit_classification | null |
| usage_headline_present | false |
| custom_tier_present | false |
| agent_friendly | {"ai_pricing_json":false,"agents_txt":false,"llms_txt":false,"sitemap_xml":false,"mcp_server_card":false,"agent_skills_index":false,"x402_supported":false} |
View raw extracted page text →
Claim this scorecard & lift your score.
Get the breakdown of every signal we measured, the one-line fix, and how your peers in Chatbots stack up.
Compare the agent-ready picks in Chatbots.
If you're building or running an AI agent that needs to buy from this category, see who's scoring highest right now.
See agent-ready picksMegaCHAT
44
/ 100 (rubric v2.0)Chatbots
MegaCHAT — 額外1000 個會話(GPT寶): $300
0
No
Sales-led
0 / 0
Public
No
Not published
2026-05-09
Tier-based subscription
MegaCHAT pricing starts at $0/mo for the Free plan; paid plans up to $1868/mo. Billed monthly.
Free plan (Free)
Discovery files and protocols
Side-channel signals — informational, not part of the score. Each protocol is independent; adoption signals the publisher is thinking about agent buyers.ai-pricing.json
agents.txt
llms.txt
sitemap.xml
MCP Server Card
Agent Skills
x402 / MPP
Compare MegaCHAT with peers
Highest-scoring companies in the same category that an AI agent might evaluate as an alternative.AiSensy
87
Robofy
87
Fineguide
87
WorkHub
87
Chatbase
85
Inworld
85
CustomGPT
82
GPT-trainer
80
Explore the Agent-Ready SaaS Index
25,480+ SaaS scored on agent-buyability — browse by readiness band, category, or jump straight to a pay-per-run tool on xpay.tools.