RecRam
RecRam scores 80/100 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.
RecRam pricing
Starter
$26/user/mo
Professional
$79/user/mo
How RecRam scores on the agent-ready dimensions
Public pricing visibility
15 / 15
Self-serve checkout
15 / 15
Public API + docs
18 / 20
Usage-based / metered pricing
20 / 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
80 / 100
What it actually costs at typical scale
1 user, Starter plan, monthly billing
$26/mo
3 users, Professional plan, monthly billing
$79/mo
Can an autonomous agent transact here?
Can create account
Can enter payment method
Can upgrade plan
Can buy more usage
Can cancel online
Payment methods
Human approval recommended
Pricing transparency
full
Purchase motion
self_serve
Demo required
Quote required
Annual commit required
Auto-renewal mentioned
Cancellation policy visible
Refund policy visible
Minimum commit
$313
Minimum term
12 months
Invoice payment available
Unknown
Purchase orders supported
Unknown
MSA required
Unknown
DPA available
Unknown
Security review required
Unknown
Trial
14 days (no card)
Annual discount
10% off
API & developer surface
API-first product
Sandbox present
Unknown
Webhooks
MCP mentioned
Positioning & ecosystem
“Honest pricing. No surprises.”
Buyer persona
Six-step check: can an agent actually buy from RecRam?
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 RecRam 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 | Honest pricing. No surprises. — No hidden fees. No bait-and-switch. You see exactly what you pay — before, during, and after. Start free, upgrade when you're ready. |
| tier_count | 1 |
| lowest_paid_entry_usd | 26 |
| free_tier | true |
| free_tier_terms | null |
| per_unit_price | null |
| annual_required | true |
| 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 |
| per_unit_classification | {"unit_class":"other","confidence":"rejected","agent_task_price_forecastable":"no","rejected_reason":"reject-context word found within ±200 chars (seat/period/credit/etc.)","evidence_text":"1,000 credits for $"} |
| usage_headline_present | false |
| custom_tier_present | false |
| 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 picksRecRam
80
/ 100 (rubric v2.0)Video Survey
Not advertised
1
Yes
$26/mo
1 / 0
Auth-walled
No
Not published
2026-05-09
Tier-based subscription
RecRam pricing starts at $26/mo for the Starter plan; paid plans up to $79/mo. Billed monthly or annually.
Start 14-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 RecRam with peers
Highest-scoring companies in the same category that an AI agent might evaluate as an alternative.Testimonial
64
VideoPeel
49
Bonjoro Testimonials
49
Vibeo
44
VideoAsk
42
Surveyed
42
mindswarms
30
Qwary
27
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.