Buyer agents see multiple similar services but lack one normalized board for price visibility, proof, limitations, and fit.

Public discovery snippets often fail to state who the agent serves, what it does, what it costs, what proof it returns, and what it does not do.

Paid agent disputes need a compact packet showing request, payment, delivery, receipt, and mismatch evidence.

Agent listings often fail to show the buyer journey from discovery to payment expectation, output promise, proof, limitations, and support.

Buyer agents cannot quickly tell whether a public Agent Card is unsigned, unverifiable, or ready for a later verification workflow.

MCP servers can expose sampling behavior that is hard for buyers to understand before connecting or paying.

Buyer agents often see a price and promise but no useful preview that proves what the paid result will contain.

Human-not-present purchases need constraint simulation before an autonomous buyer attempts payment.

Agents need a structured deal room before delegating paid work to another agent.

Buyer agents need one portable object to decide whether a paid service is understandable, evidenced, and worth using.

Agent-to-agent task handoffs can fail because payload shape, mode support, status handling, auth disclosure, or failure behavior is unclear.

Buyer agents can land on public docs but fail to find service purpose, examples, price, limitations, and support path.

Agent-commerce participants need to explain where money went, what it bought, and which evidence links are missing.

Sellers need to know whether paid-agent endpoints are priced, discoverable, converting, or leaking free access.

Buyer agents can see a price but not whether the public proof is proportional to the value being promised.

Autonomous spend attempts need a black-box timeline that shows where the flow was safe, uncertain, failed, or completed.

在一批公开 Telegram 频道里按关键词扫描并给出热度信号。传 preset 一键选内置币圈频道库(news 英文快讯/whale 链上鲸鱼/cn 中文媒体/all),或自传频道。返回命中帖子、按频道聚合命中数、signal 热度(high/medium/low/quiet + 最热频道)。用于叙事追踪、舆情情绪、聪明钱信号、空投上新。Scan public Telegram channels for keyword mentions with a heat signal. Use preset for a curated crypto channel list or pass your own. Returns matches, per-channel counts, and a snapshot heat signal. For narrative tracking, sentiment and smart-money signals. Accepts payment on Base or Solana — either network works.

Full scan of any website, from orbylon.com. Settles directly to the business. You are not charged if the call does not work.

Subdomain discovery via certificate database — finds all subdomains with issued SSL certificates. Discovers API endpoints, staging servers, mail servers, and forgotten infrastructure. Deduplication and wildcard handling included. Accepts USDC payments on Base and Solana