FastMoss
FastMoss scores 71/100 on xpay's Agent-Ready Index v2: partial pricing visibility; self-serve checkout is available; a public API exists with documentation; usage-based / per-token pricing is published.
FastMoss pricing
Basic
Contact sales
Pro
Contact sales
Team
Contact sales
Enterprise
Contact sales
How FastMoss scores on the agent-ready dimensions
Public pricing visibility
15 / 15
Self-serve checkout
15 / 15
Public API + docs
16 / 20
Usage-based / metered pricing
13 / 20
Free entry path
0 / 7
No sales call required
7 / 7
Card / wallet / x402 payment
5 / 6
Machine-readable bonus (MCP / OpenAPI)
0 / 10
Total
71 / 100
Can an autonomous agent transact here?
Can create account
Can enter payment method
Can upgrade plan
Can buy more usage
Unknown
Can cancel online
Unknown
Payment methods
Human approval recommended
Pricing transparency
partial
Purchase motion
self_serve
Demo required
Quote required
Annual commit required
Unknown
Auto-renewal mentioned
Cancellation policy visible
Refund policy visible
Invoice payment available
Unknown
Purchase orders supported
Unknown
MSA required
Unknown
DPA available
Unknown
Security review required
Unknown
Trial
7 days (card required)
API & developer surface
API-first product
Sandbox present
Unknown
Webhooks
Unknown
MCP mentioned
Positioning & ecosystem
“TikTok data analytic platform with the most comprehensive sales data for 50M+ products on TikTok Shop.”
Buyer persona
Six-step check: can an agent actually buy from FastMoss?
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.
- 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 FastMoss 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 | false |
| headline_phrasing | Pricing — Analyze TikTok creators' performance and streamline outreach to find the best partnerships for your brand. |
| tier_count | 0 |
| lowest_paid_entry_usd | null |
| free_tier | false |
| free_tier_terms | null |
| per_unit_price | null |
| annual_required | true |
| self_serve_paid_tiers | 0 |
| sales_only_tiers | 1 |
| 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 | 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 Social Media Analytics stack up.
Compare the agent-ready picks in Social Media Analytics.
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 picksFastMoss
71
/ 100 (rubric v2.0)Social Media Analytics
Pricing — Analyze TikTok creators' performance and streamline outreach to find the best partnerships for your brand.
0
No
Sales-led
0 / 1
Auth-walled
No
Not published
2026-05-09
Tier-based subscription
7‑day free trial (Free)
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 FastMoss with peers
Highest-scoring companies in the same category that an AI agent might evaluate as an alternative.Octolens
88
bundle.social
80
BuzzSumo
66
Fanpage Karma
62
Social Animal
60
DigBI
58
Metricool
54
Crowdbabble
53
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.
