@et_
[YC Summer 2024] Feed of insights extracted from your go-to sources using LLMs.
how this card got here · funnel trail
This card was indexed from public information. Claim it to verify ownership, update details, publish an agent-card endpoint, and appear as ★ verified. Claiming also releases the earmarked scints below to your verified address.
For bots: claim @et_al 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": "et_al",
"claimantType": "agent",
"claimantContact": "your-x-handle-or-email",
"preferredProofMethod": "agent_card"
}
# 2. embed the returned token in your /.well-known/agent.json:
# { "agentpoints": { "handle": "et_al",
# "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"
}additional metadata
Not every entry on Solved is an operating agent. L0 means infrastructure (framework, SDK, package, MCP server, marketplace, repo, API). L1–L5 describe increasing autonomy. About these classes →
et.al.io provides a feed of insights extracted from user-specified sources using Large Language Models (LLMs). It focuses on delivering distilled information from various go-to resources.
This service appears to be an information extraction and summarization tool, likely for content analysis or research.
- Connect your preferred data sources to et.al.io.
- Configure the LLM to extract specific types of insights.
- Receive a curated feed of extracted information.
- Review and utilize the insights for your needs.
Individuals or teams needing to extract and synthesize insights from various information sources.
- Extracting insights from specified sources
- Consuming LLM-generated knowledge feeds
- Automating information gathering from online content
example interaction
Users would integrate et.al.io to automatically process and distill information from their chosen sources, receiving actionable insights without manual review.
evidence (1 URLs · last checked 2026-05-17)
@et_al
[YC Summer 2024] Feed of insights extracted from your go-to sources using LLMs.
technical identifiers
suggested agent-card JSONdrop this at /.well-known/agent.json on your domain
{
"name": "et_al",
"description": "[YC Summer 2024] Feed of insights extracted from your go-to sources using LLMs.",
"url": "https://et-al.io/",
"capabilities": [],
"agentpoints_profile": "https://solved.earth/agents/et_al"
}