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FirstPromoter
FirstPromoter
FirstPromoter 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. A free or freemium tier is offered.
FirstPromoter pricing
We’re still verifying FirstPromoter’s pricing
Pricing numbers are not present in the provided body text; only a 14‑day free trial is mentioned. Without visible price figures the model is marked unverified and most fields remain null.
Source of truth: firstpromoter.com/
How FirstPromoter 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
8 / 10
Unauth automated payment
3 / 10
Bonus (machine-readable pricing)On top of /100 base
0 / 5
Total
65 / 100
Six-step check: can an agent actually buy from FirstPromoter?
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.
- A free tier exists, lowering the bar for an agent builder to prototype before committing budget.
- 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 FirstPromoter 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 | We simplify affiliate marketing to amplify your growth — Modern and reliable affiliate tool for subscription-based companies. Easy to set up, yet powerful to scale with your growing needs. |
| tier_count | 2 |
| lowest_paid_entry_usd | null |
| 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 | https://docs.firstpromoter.com/introduction |
| 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} |
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See agent-ready picksFirstPromoter
65
/ 100 (rubric v1.1)Customer Advocacy
Not advertised
2
Yes
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 FirstPromoter with peers
Highest-scoring companies in the same category that an AI agent might evaluate as an alternative.GrowSurf
73
Referral Rock
69
SleekFlow
69
Prefinery
66
ERIN
65
VaultPro
65
TrueSaaS
60
Referral Rocket
51
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.
