Interview AiBox
Interview AiBox publishes a pricing page with 2 discoverable plan tier(s). No per-unit price was found on the page; an agent has no direct way to estimate the cost of a single task. Self-serve signup exists alongside a sales-led / custom tier. Public API documentation is reachable without an auth wall. A free or freemium tier is offered.
Pricing summary
$0
$49
How Interview AiBox scores on the agent-ready dimensions
Public pricing
15 / 15
Usage-based / metered
0 / 25
Self-serve checkout
15 / 15
Public API
15 / 15
Low / no minimum
8 / 10
Unauth automated payment
3 / 10
Bonus (machine-readable pricing)On top of /100 base
0 / 5
Total
58 / 100
Can an autonomous agent transact here?
Can create account
Can enter payment method
Can upgrade plan
Can buy more usage
Can cancel online
Unknown
Payment methods
Unknown
Human approval recommended
Pricing transparency
contact_only
Purchase motion
sales_led
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
Trial
3 days (no card)
Positioning & ecosystem
“UndetectableAI interview copilotProfessional-grade help for LeetCode, online assessments, system design, and OOD”
Buyer persona
Six-step check: can an agent actually buy from Interview AiBox?
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.
- A free tier exists, lowering the bar for an agent builder to prototype before committing budget.
- 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.
- PPU requires account creation and an issued API key; a fully unauthenticated agent purchase is not yet supported.
- No /.well-known/ai-pricing.json or equivalent machine-readable pricing manifest is published — agents must rely on HTML scraping.
How Interview AiBox 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 | true |
| headline_phrasing | UndetectableAI interview copilotProfessional-grade help for LeetCode, online assessments, system design, and OOD — An all-in-one copilot for technical interviews, online assessments, and job search prep. Get instant solutions, live voice prompts, screenshot solving, and screen-share-safe guidance. No setup. Ready from the first run.Built for software engineers first, with support for product, data, operations, and leadership interviews. |
| tier_count | 2 |
| lowest_paid_entry_usd | 0 |
| free_tier | true |
| free_tier_terms | null |
| per_unit_price | null |
| annual_required | false |
| self_serve_paid_tiers | 1 |
| sales_only_tiers | 0 |
| public_api_docs_url | https://interviewaibox.co/en/docs/getting-started/intro |
| 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 | true |
| agent_friendly | {"ai_pricing_json":false,"agents_txt":false,"llms_txt":true,"sitemap_xml":true,"mcp_server_card":false,"agent_skills_index":false,"x402_supported":false} |
View raw extracted page text →
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See agent-ready picksInterview AiBox
58
/ 100 (rubric v1.1)Video Interviewing
Not advertised
2
Yes
Free
1 / 0
Public
No
Not published
2026-05-06
Sales-led pricing
3 days free Pro trial
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 Interview AiBox with peers
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80
Async Interview
80
Meetcode
67
RecRight
67
Live Video Interviews
61
HireUp
57
DeepHire
57
Kerplunk
57
Explore the Agent-Ready SaaS Index
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