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Amazon Personalize
Amazon Personalize
Amazon Personalize 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.
Amazon Personalize pricing
We’re still verifying Amazon Personalize’s pricing
Pricing details are not present in the provided body text; unable to extract numeric pricing, tier structures, or usage rates.
Source of truth: aws.amazon.com/personalize/
How Amazon Personalize 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
0 / 10
Unauth automated payment
3 / 10
Bonus (machine-readable pricing)On top of /100 base
0 / 5
Total
63 / 100
Six-step check: can an agent actually buy from Amazon Personalize?
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 Amazon Personalize 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 | Amazon Personalize — Elevate every customer experience with AI-powered personalization |
| tier_count | 2 |
| lowest_paid_entry_usd | null |
| free_tier | false |
| 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://builder.aws.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 | true |
| 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 →
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See agent-ready picksAmazon Personalize
63
/ 100 (rubric v1.1)Machine Learning
Amazon Personalize — Elevate every customer experience with AI-powered personalization
2
No
Sales-led
1 / 0
Public
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
Compare Amazon Personalize with peers
Highest-scoring companies in the same category that an AI agent might evaluate as an alternative.Alchemy
87
FinetuneDB
85
Basejump
81
Banana
78
Openlayer
77
MorphL AI
75
Picsell.ia
74
SimplAI
74
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.
