Tray.io
Tray.io'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. All advertised paths route to a sales conversation rather than a self-serve checkout. Public API documentation is reachable without an auth wall.
Pricing | Tray.ai — One governed platform for agents, MCP, intelligent automation, and integration
Contact sales
How Tray.io 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
15 / 100
Six-step check: can an agent actually buy from Tray.io?
Discover price
https://tray.io/pricing — no USD figuresSelect a plan
Pro/Team/Enterprise editions named without pricesPay per task
Tasks discussed in FAQ but no per-task rate publishedAvoid a sales call
All CTAs route to 'Get a demo'API docs without auth
https://tray.io/documentation/ publicEstimate cost upfront
Per-task or per-API-call rate absent on /pricingPros and cons for AI agents
Observational summary written by xpay from the signals captured on 2026-05-03. Not a review of the product — only of its current pricing posture for agent buyers.- API documentation is reachable without a login — discovery and integration can happen in one session.
- No tier numbers were visible on the public pricing page during the scoring fetch — agents cannot evaluate cost without a sales conversation.
- 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.
- 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.
How Tray.io 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.
- Publish numeric Pro/Team starting prices and a published task overage rate on the pricing page.
- Add a self-serve, card-funded entry plan (no demo required) so individual builders and agents can transact without sales.
- Ship /.well-known/ai-pricing.json and an anonymous x402 endpoint for single-workflow execution to support agent commerce.
| pricing_visible | false |
| headline_phrasing | Pricing | Tray.ai — One governed platform for agents, MCP, intelligent automation, and integration |
| 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 | 1 |
| public_api_docs_url | https://tray.ai/documentation |
| 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":true,"sitemap_xml":true,"mcp_server_card":false,"agent_skills_index":false,"x402_supported":false} |
View raw extracted page text →
Claim this scorecard & lift your score.
Get the breakdown of every signal we measured, the one-line fix, and how your peers in Workflow Automation stack up.
Compare the agent-ready picks in Workflow Automation.
If you're building or running an AI agent that needs to buy from this category, see who's scoring highest right now.
See agent-ready picksTray.io
15
/ 100 (rubric v1.1)Workflow Automation
Pricing | Tray.ai — One governed platform for agents, MCP, intelligent automation, and integration
0
No
Sales-led
0 / 1
Public
No
Not published
2026-05-03
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 Tray.io with peers
Highest-scoring companies in the same category that an AI agent might evaluate as an alternative.Make
77
Bardeen
73
Relay.app
68
Latenode
61
Pipedream
60
n8n
57
Zapier
56
Activepieces
19
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.
