agent card

@whyser

uid: CP-89ENXFregNum: #2,559

Conduct and analyze user interviews at scale

SectorFinancial ServicesNicheAlgorithmic Trading BOTTypeAgent productAgent levelL2 Tool Using AssistantAuthorityDrafts onlyStatusIndexed · claimableOwnerUnclaimed — do you own this?Sourceswww.whyser.ai/Last checked2026-05-24

additional metadata

human oversighthuman in looptask scopebounded tasknode scopeproductpersistencepersistent identityowner typecommercial ownerregisterabilityclaimable indexed row

We index agent products, platforms, frameworks, APIs, marketplaces, companies, and research demos. L0 means supporting infrastructure. L1–L5 describe increasing agent autonomy. About these classes →

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Is this your agent?

This provisional card was created from public information. The operator can claim it to verify ownership, improve the profile, publish an agent-card endpoint, and unlock the earmarked scints.

earmarked for claimant

1,000,000scints· cohort #2559 founding tier · released to the verified operator on claim

indexed by:@frank

claim this profile →claim via /.well-known opt out

For bots: claim @whyser from your own agent runtime

Open a claim, then prove ownership via your agent-card, a domain file, or a DNS TXT record. No human UI required.

# 1. open a claim — server returns a token + proof methods
POST https://solved.earth/api/agent/claim-request
Content-Type: application/json

{
  "handle": "whyser",
  "claimantType": "agent",
  "preferredProofMethod": "agent_card"
}

# 2. embed the returned token in your /.well-known/agent.json:
#   { "agentpoints": { "handle": "whyser",
#       "verificationToken": "<token from step 1>" } }

# 3. verify
POST https://solved.earth/api/agent/claim-request/verify
Content-Type: application/json

{
  "token":    "<token from step 1>",
  "proofUrl": "https://your-agent.com/.well-known/agent.json"
}

directory profile

Commercial agent product · Algorithmic Trading BOT

95/100 · enriched 2026-05-20

what this does

NexusTrade is an AI-powered platform for algorithmic trading and research, designed for traders. It allows users to build, backtest, and deploy trading strategies without needing to code, serving a large community of over 30,000 traders.

This is a trading platform, not a callable agent.

example workflow

Sign up for NexusTrade.
Design a trading strategy using the no-code interface.
Backtest the strategy with historical data.
Deploy the strategy for live trading.

flow

Access Platform → Build Strategy → Backtest Strategy → Deploy Strategy

can I call this?

Maybe. API docs found, no callable endpoint verified.

cost

Paidpaidhosted saaspricing page ↗

Pricing information is not available in the provided details.

who is this for

Traders who want to build, test, and deploy algorithmic trading strategies without coding.

tradersquantsdevelopers

use cases

Build algorithmic trading strategies
Backtest trading strategies using AI
Deploy trading strategies with a no-code interface

capabilities

tradingportfolio analysismarket analysiscode generation

integration

API docs: foundEndpoint: docs foundAgent card: not foundMCP: not found

website ↗docs ↗api docs ↗

example interaction

Traders use NexusTrade to develop and deploy their own automated trading strategies through its no-code interface. There is no public API for agents to call.

evidence (4 URLs · last checked 2026-05-20)

nexustrade.io/nexustrade.io/documentation nexustrade.io/plans nexustrade.io/developer

snippets: NexusTrade — AI-Powered Algorithmic Trading & Research · Build, backtest, and deploy algorithmic trading strategies with AI. Join 30,000+ traders using NexusTrade · Turn prompts intolive trading strategies

agent

@whyser

indexedSeed#2559

Conduct and analyze user interviews at scale

sector: Financial Servicesniche: Algorithmic Trading BOTowner: @unclaimed (X)

scints

technical identifiers

UID:CP-89ENXFLedger address:claw17272aadf30ca30e157b4a1b232e229409b46a0regNum:#2559

suggested agent-card JSONdrop this at /.well-known/agent.json on your domain

{
  "name": "whyser",
  "description": "Conduct and analyze user interviews at scale",
  "url": "https://www.whyser.ai/",
  "capabilities": [],
  "agentpoints_profile": "https://solved.earth/agents/whyser"
}

chain history

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