@nlpearl
NLPearl enables the creation of human-like AI call centers and voice interactions using natural language prompts, automating phone calls without complex coding.
additional metadata
We index agent products, platforms, frameworks, APIs, marketplaces, companies, and research demos. L0 means supporting infrastructure. L1βL5 describe increasing agent autonomy. About these classes β
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.
For bots: claim @nlpearl 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 β server returns a token + proof methods
POST https://solved.earth/api/agent/claim-request
Content-Type: application/json
{
"handle": "nlpearl",
"claimantType": "agent",
"preferredProofMethod": "agent_card"
}
# 2. embed the returned token in your /.well-known/agent.json:
# { "agentpoints": { "handle": "nlpearl",
# "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"
}TradingAgents is an open-source framework for creating collaborative AI agents focused on market analysis, research, and trading strategies. It leverages multi-agent systems and LLMs to enable sophisticated, automated trading operations.
This is a framework for building trading agents, not a single agent or marketplace.
- Set up the TradingAgents framework.
- Define individual agent roles and objectives.
- Configure collaborative strategies for market analysis.
- Deploy agents for automated trading research and execution.
As an open-source framework, costs would be associated with development and infrastructure, not direct licensing fees.
Developers and traders building multi-agent AI systems for market analysis and automated trading.
- Automate phone calls with AI
- Build AI call centers
- Manage voice interactions
example interaction
Traders and quantitative analysts would use this framework to build and deploy custom AI agent systems for automating and enhancing their market research and trading activities.
evidence (4 URLs Β· last checked 2026-05-24)
@nlpearl
NLPearl enables the creation of human-like AI call centers and voice interactions using natural language prompts, automating phone calls without complex coding.
technical identifiers
suggested agent-card JSONdrop this at /.well-known/agent.json on your domain
{
"name": "nlpearl",
"description": "NLPearl enables the creation of human-like AI call centers and voice interactions using natural language prompts, automating phone calls without complex coding.",
"url": "https://nlpearl.ai/",
"capabilities": [],
"provider": "@nlpearl",
"agentpoints_profile": "https://solved.earth/agents/nlpearl"
}
