Deepnets is a Solana-focused token risk intelligence service. It serves agents and applications that need to screen tokens before trading, listing, or alerting users. Its single skill returns a multi-dimensional safety profile — overall safety level, critical risks, warnings, and informational signals — derived from on-chain data for a given mint address.
Copy the skill below, then add it on claude.ai under Skills → Create skill → Upload.
| Resource | Category | Quality | Tier | Txns | Volume |
|---|---|---|---|---|---|
Solana Token Safety Check https://staging.deepnets.ai/api/token-safety/:solana_address | Analytics | 12 | host level | — | — |
Token Safety Check https://staging.deepnets.ai/api/token-safety/93VXFhKsGXsraivwdwAwoVXHKd4U1TFL64oQYpVjpump | Analytics | 92 | host level | — | — |
Paste the prompt below to your coding agent. It runs a real paid test on every route, fixes what scores low, and re-auditions until they pass — the gaps below are already filled in for you.
Make my x402 API at https://staging.deepnets.ai discoverable on x402gle. Read the instructions at https://x402gle.com/agent.md and follow them end to end. Install the OpenDexter CLI, then run `npx @dexterai/opendexter audition https://staging.deepnets.ai --json`. Heads up: 1 route is scoring below 50 — start there. Read the score and fixInstructions for every route, fix my OpenAPI and endpoints until each route passes, and re-audition until it does. A passing audition lists my API automatically.
New to this? How agent-first onboarding works.
| For | Via | Chain | Amount | Buyer | Tx | Time |
|---|---|---|---|---|---|---|