Veraxe
Veraxe's pricing page did not render numeric tier data on the scoring date. No per-unit price was found on the page; an agent has no direct way to estimate the cost of a single task. Public API documentation is reachable without an auth wall.
NEWPLAY88: Modal Receh Scatter Auto Turun, Rahasia Gacor Parah Hari Ini! — Supported by NEWPLAY88
No tier numbers were visible on the public pricing page. An agent has no machine-readable path to evaluate or transact.
Snapshot rendered from xpay's extracted pricing signals. The full tier list lives on the live page — see source link above.How Veraxe scores on the agent-ready dimensions
Public pricing
0 / 15
Usage-based / metered
0 / 25
Self-serve checkout
0 / 15
Public API
15 / 15
Low / no minimum
0 / 10
Unauth automated payment
0 / 10
Bonus (machine-readable pricing)On top of /100 base
0 / 5
Total
15 / 100
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
hidden
Purchase motion
self_serve
Demo required
Unknown
Quote required
Unknown
Annual commit required
Unknown
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
Six-step check: can an agent actually buy from Veraxe?
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.
- No per-unit price was advertised, so an agent has no way to estimate the cost of a single task.
- All advertised tiers route to a sales contact form; an agent cannot complete a purchase autonomously.
- 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 Veraxe 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 | NEWPLAY88: Modal Receh Scatter Auto Turun, Rahasia Gacor Parah Hari Ini! — Supported by NEWPLAY88 |
| 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.itamalighting.com/ |
| 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 School Management stack up.
Compare the agent-ready picks in School Management.
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 picksVeraxe
15
/ 100 (rubric v1.1)School Management
NEWPLAY88: Modal Receh Scatter Auto Turun, Rahasia Gacor Parah Hari Ini! — Supported by NEWPLAY88
0
No
Sales-led
0 / 0
Public
No
Not published
2026-05-06
Sales-led pricing
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 Veraxe with peers
Highest-scoring companies in the same category that an AI agent might evaluate as an alternative.EduSys School ERP
66
School EdTech
59
SISAR CAMS
59
Populi
58
Reportcard
58
Edwao
58
Classe365
55
FamilyID
54
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.
