Facetune
Facetune publishes a pricing page with 3 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. No public API documentation URL was discovered.
Facetune pricing
We’re still verifying Facetune’s pricing
No explicit pricing numbers or subscription tiers are visible on the page; only a free trial CTA is present, so pricing details are unverified.
Source of truth: www.facetuneapp.com/
How Facetune scores on the agent-ready dimensions
Public pricing
15 / 15
Usage-based / metered
0 / 25
Self-serve checkout
15 / 15
Public API
0 / 15
Low / no minimum
0 / 10
Unauth automated payment
3 / 10
Bonus (machine-readable pricing)On top of /100 base
0 / 5
Total
40 / 100
Six-step check: can an agent actually buy from Facetune?
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.
- 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 Facetune 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 | Enhance your look instantly — Fix lighting, touch up details, and apply aesthetic filters in one tap.Look like the best version of you with Facetune. |
| tier_count | 3 |
| lowest_paid_entry_usd | null |
| free_tier | false |
| free_tier_terms | null |
| per_unit_price | null |
| annual_required | false |
| self_serve_paid_tiers | 2 |
| sales_only_tiers | 0 |
| public_api_docs_url | null |
| api_docs_auth_walled | null |
| 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":false,"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 picksFacetune
40
/ 100 (rubric v1.1)Photo Editing
Not advertised
3
No
Sales-led
2 / 0
Auth-walled
No
Not published
2026-05-06
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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Deep Image AI
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69
Explore the Agent-Ready SaaS Index
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