AutoDS
AutoDS's pricing URL resolves, but plan structure is not surfaced clearly enough for an agent to enumerate without hand-parsing. 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.
AutoDS pricing
We’re still verifying AutoDS’s pricing
The body text contains repeated pricing page scaffolding (START NOW FOR $1, Choose package, etc.) but no actual tier names, feature lists, or specific prices beyond the $1 trial offer. The page mentions Annual (25% off) and Monthly billing cycles and references multiple tiers, but the actual pricing table data is not present in the extracted text. Classification cannot be confident without seeing plan names and prices.
Source of truth: www.autods.com/pricing/
How AutoDS scores on the agent-ready dimensions
Public pricing
7 / 15
Usage-based / metered
0 / 25
Self-serve checkout
15 / 15
Public API
15 / 15
Low / no minimum
8 / 10
Unauth automated payment
3 / 10
Bonus (machine-readable pricing)On top of /100 base
0 / 5
Total
48 / 100
Six-step check: can an agent actually buy from AutoDS?
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.
- Every advertised tier is self-serve; no tier requires scheduling a call.
- 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.
How AutoDS 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 | Choose Your Success Plan — Automatic tracking number update |
| tier_count | 0 |
| lowest_paid_entry_usd | 9.9 |
| 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://www.autods.com/api/ |
| 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":true,"mcp_server_card":false,"agent_skills_index":false,"x402_supported":false} |
View raw extracted page text →
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See agent-ready picksAutoDS
48
/ 100 (rubric v1.1)Drop Shipping
Choose Your Success Plan — Automatic tracking number update
0
No
$9.9/mo
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
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71
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68
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66
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ApiDrop
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