Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
Ophir is an open Negotiation Protocol for AI Agents. It is positioned not as a chatbot or foundation model, but as infrastructure for commercial transactions between agents. According to the site, it enables agents to autonomously discover services, negotiate prices, sign final terms, and settle payments in USDC via Solana escrow.
The protocol uses JSON-RPC 2.0 for transport and Ed25519 keys to generate did:key identities. All messages are signed and verified, while the final agreement is signed by both parties and committed with a SHA-256 hash. The transaction flow consists of Discover, Negotiate, and Settle: sellers register capabilities, pricing, and SLA terms; buyers send signed RFQs with budgets and requirements; both sides can go through up to 5 counter-offer rounds; once an agreement is reached, USDC is locked into a Solana PDA escrow. The website also mentions 8 SLA metrics, including latency, uptime, accuracy, and throughput, with breaches potentially triggering on-chain disputes and automatic compensation.
The page does not disclose Ophir’s own pricing model, free tier, or trial policy. What is known is that the settlement layer uses USDC, with payments handled through Solana PDA escrow. For developer integration, Ophir provides an npm package and an MCP Server, which can be added to MCP clients via npx @ophirai/mcp-server. This makes it suitable for developers who already work with Agent/MCP engineering stacks and want to experiment.
Its main strength is that the protocol covers the full loop from discovery, quotation, and negotiation to settlement, while emphasizing cryptographic identity, dual-signed agreements, SLA enforcement, and netting mechanisms. By design, it is better suited to Agent Commerce than simple API calls. The limitations are that the site lacks information on ecosystem scale, real production use cases, arbitration details, privacy policy, and commercial pricing. Its reliance on Solana and USDC may also introduce on-chain operational, compliance, and payment barriers.
Ophir is better suited to development teams building agent transaction networks, automated procurement services, AI API marketplaces, or multi-agent collaboration systems, rather than ordinary individual users. The site does not specify access conditions from China. Network connectivity, Solana/USDC usage, and payment compliance all need to be evaluated independently. If access or usage is restricted, alternatives may include traditional API marketplaces, MCP tool marketplaces, or self-hosted/private agent negotiation and settlement solutions.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on ophirai.com official site.
ophirai.com is an Unknown AI Apps provider. TG4G tracks its product information, an overall rating of 6.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach ophirai.com directly.