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  7. AVC.AI

AVC.AI logo

AVC.AI

Not Agent-Ready Yet
Agent-Ready SaaS Index · avc.ai · scored 2026-05-06 · rubric v1.1
Score 17 / 100
Photo Editing
Public API

AVC.AI'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.

See AVC.AI pricing summaryLive pricing page
Pricing snapshot
Online AI Image Enhancer that Improves Photo Quality by Upscaling, Denoising, Restoring, Face Refinement, and More
As of 2026-05-06 · derived from avc.ai/#/upgrade
Starts at

$9.95

Sales-led
Snapshot rendered from xpay's extracted pricing signals. The full tier list lives on the live page — see source link above.
Score breakdown · rubric v1.1
How AVC.AI 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
17 / 100
Agent purchase simulation
Six-step check: can an agent actually buy from AVC.AI?
✓

Discover price

✓

Select a plan

✗

Pay per task

✓

Avoid a sales call

◐

API docs without auth

✗

Estimate cost upfront

Analysis
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.
✓ For an AI agent
  • 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.
◐ Opportunities for the provider
  • 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.
One-line fix
How AVC.AI 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

Online AI Image Enhancer that Improves Photo Quality by Upscaling, Denoising, Restoring, Face Refinement, and More

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://avc.ai/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":true,"mcp_server_card":false,"agent_skills_index":false,"x402_supported":false}

You work at AVC.AI?
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Get the breakdown of every signal we measured, the one-line fix, and how your peers in Photo Editing stack up.

Evaluating AVC.AI?
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Are you AVC.AI? Something off in this listing?
Agent-Ready Spec
AVC.AI
Not Agent-Ready Yet

17

/ 100 (rubric v1.1)

Category

Photo Editing

Pricing model

Online AI Image Enhancer that Improves Photo Quality by Upscaling, Denoising, Restoring, Face Refinement, and More

Tier count

0

Free tier

No

Lowest paid entry

Sales-led

Self-serve / sales-only tiers

0 / 0


Public API docs

Public

Anonymous purchase path

No

Machine-readable pricing

Not published


Last refreshed

2026-05-06

Actions
Open live pricing page
Verdict reflects Not Agent-Ready Yet status under rubric v1.1. Source observed at https://avc.ai/#/upgrade.
Agent-friendly features1 of 7 present
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

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CompanyAgentically Inc. (d/b/a xpay✦)1875 Mission St, Ste 103San Francisco, CA 94103, United Stateslegal@xpay.sh · privacy@xpay.sh
or ask your AI app
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