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Trade Crypto, Predict Outcomes & Ea…

gemini.com
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Overall score
56.0Poor
—
Rank
#345
Prev: #342
finance avg
61.2
54 peers
Agent runs / week
2
Across 0 providers

The crypto super app for trading, predicting, and earning. Buy 90+ cryptos, trade prediction markets, and earn with staking and the Gemini Credit Card.

Audience
Developer
Markets
USSG
Locales
en-usen-sgesx-default
Opportunity cost · finance

Trade Crypto, Predict Outcomes & Ea… could be leaving ~$74,800,000 in processed value on the table every year

Stunt Double’s 2027 agent-traffic model projects 34% of account opening and transaction initiation sessions in the finance sector will be initiated or completed by AI agents[1][2]. Trade Crypto, Predict Outcomes & Ea… currently scores 56.0 on the Stunt Double Index[3], with a 44-point gap to the ideal agent experience (100). The loss figure below applies that gap to the projected agent-driven slice of a typical annual processed transaction valuebaseline for this sector — it is a directional estimate, not a measured conversion rate.

Gap to leader
44.0 pts
Above finance avg
0.0 pts
Modelled flows at risk
$74,800,000

Estimate assumes a $500M annual processed-value baseline. Claim your domain to replace this placeholder with your reported processed value.

Sources
  1. [1]Gartner (2025) — Intelligent Agents in AI Really Can Work Alone. Here’s How.
  2. [2]Adobe Analytics (2025) — Generative AI traffic to U.S. retail sites (weekly trend)
  3. [3]Stunt Double (2026) — Stunt Double Index methodology & scoring rubric

Category breakdown

Brand awarenessCan agents recognise you exist?
65
DiscoveryWill they pick you?
65
Information retrievalCan they read your site?
60
Market rankingWhere do you sit in the lineup?
35
AccuracyDo they tell the truth about you?
80
Task completionCan an agent complete a task on behalf of a user?
75
Delegated accessDo you let agents in, safely?
0
Contact & communicationCan an agent reach a human?
45

By agent provider

By agent provider
Session quality, 30-day rolling, N ≥ 10 per provider
Claude
Anthropic
0.0
ChatGPT Agent
OpenAI
0.0
Gemini
Google
0.0
Perplexity
Perplexity
Copilot
Microsoft
Browserbase Operator
Browserbase

Where agents get stuck

Public summary · full session replay available to verified owners
mediumBrand awareness
No Organization JSON-LD. Agents can’t tell who owns the site at a glance.
lowBrand awareness
Missing Open Graph tags. Link previews degrade in agent chats.
lowDiscovery
No llms.txt. You miss the emerging standard for giving agents a curated map of the site.
mediumInformation retrieval
No JSON-LD structured data. Agents must infer entities from markup.
highInformation retrieval
Site renders a "please enable JavaScript" notice to non-JS clients.
mediumMarket ranking
No Product/Service schema on the homepage. Agents can’t easily compare offerings.
lowMarket ranking
No review or aggregateRating schema. Agents have no signal for ranking vs peers.
mediumAccuracy
No JSON-LD at all. Every factual claim must be inferred from prose.
highTask completion
Homepage returns a bot-challenge / CAPTCHA. Agents can’t complete a task if they can’t load the site.
highDelegated access
No MCP manifest. Agents can’t auto-discover tools or delegated capabilities.
highDelegated access
No public API docs detected. Agents have no scoped way in; they must drive a browser.
lowDelegated access
robots.txt doesn’t mention any agent user-agents. The policy for agents is implicit.
highContact & communication
No contact page linked or reachable. Agents acting on a user’s behalf have nowhere to send a message.
highTask completion
Claude hits a bot-challenge page on the homepage.
highTask completion
ChatGPT Agent hits a bot-challenge page on the homepage.
highTask completion
Gemini hits a bot-challenge page on the homepage.
highTask completion
Perplexity hits a bot-challenge page on the homepage.
highTask completion
Copilot hits a bot-challenge page on the homepage.
highTask completion
Browserbase Operator hits a bot-challenge page on the homepage.