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  7. KeaML

KeaML logo

KeaML

Partially Agent-Ready
Agent-Ready SaaS Index · keaml.com · scored 2026-05-06 · rubric v1.1
Score 61 / 100
Data Science And Machine Learning Platforms
Free tier
Self-serve checkout

KeaML publishes a pricing page with 3 discoverable plan tier(s). Self-serve signup appears available without a sales call. No public API was advertised on the listing. A free or freemium tier appears to be offered. Tier 1 scorecard from public listing signals; pricing-page verification is a Tier 2 task.

See KeaML pricing summaryLive pricing page
Pricing snapshot
at $350.00. Offers Free-forever and Custom plan.
As of 2026-05-06 · derived from www.keaml.com/
Free

$0

No card
Entry paid

$350

per month
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 KeaML scores on the agent-ready dimensions

Public pricing

20 / 15

Usage-based / metered

0 / 25

Self-serve checkout

22 / 15

Public API

0 / 15

Low / no minimum

10 / 10

Unauth automated payment

2 / 10

Bonus (machine-readable pricing)On top of /100 base

0 / 5


Total
61 / 100
Agent purchase simulation
Six-step check: can an agent actually buy from KeaML?
✓

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.
  • A free tier exists, lowering the bar for an agent builder to prototype before committing budget.
◐ 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.
  • 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.
One-line fix
How KeaML 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

at $350.00. Offers Free-forever and Custom plan.

tier_count

3

lowest_paid_entry_usd

350

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

null

api_docs_auth_walled

null

ai_pricing_json_present

false

agents_txt_present

false

anonymous_purchase_path

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}

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Are you KeaML? Something off in this listing?
Agent-Ready Spec
KeaML
Partially Agent-Ready

61

/ 100 (rubric v1.1)

Category

Data Science And Machine Learning Platforms

Pricing model

at $350.00. Offers Free-forever and Custom plan.

Tier count

3

Free tier

Yes

Lowest paid entry

$350/mo

Self-serve / sales-only tiers

1 / 0


Public API docs

Auth-walled

Anonymous purchase path

No

Machine-readable pricing

Not published


Last refreshed

2026-05-06

Actions
Open live pricing page
Verdict reflects Partially Agent-Ready status under rubric v1.1. Source observed at https://www.keaml.com/.
Agent-friendly features0 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
Company
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