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Lightning vs Vespa

Lightning scores higher on the AgentReady, 57/100 against 56/100. They differ on 2 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Lightning. Lightning AI is a platform for building, training and deploying AI models.

Vespa. Vespa.ai develops the Vespa AI Search Platform, a distributed serving engine that unifies retrieval, ranking, machine learning inference, and real-time serving for business-critical AI applications.

Where Lightning is ahead

Lightning passes agent-compatible signup flow, and Vespa does not. That is adopt, whether an agent can get a key and make its first successful call without a human in the loop.

Where Vespa is ahead

Vespa passes clear canonical domain, and Lightning does not. That is discover, whether an agent can find the product at all without being told it exists.

What neither does

Both fail mcp discoverable, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, no mandatory sales call, programmatic credential creation, mcp integration available, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified. If your agent needs any of those, you will be building it yourself either way.

Score, pillar by pillar

The AgentReady splits into four pillars, scored separately, because a product can be easy to find and still impossible to adopt.

Discover. Vespa leads 87 to 80. Lightning misses clear canonical domain, mcp discoverable; Vespa misses mcp discoverable.

Understand. Both sit at 46/100 here. Lightning misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented; Vespa misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented.

Adopt is whether an agent can get a key and make its first successful call without a human in the loop. Lightning leads 65 to 55. Lightning misses no mandatory sales call, programmatic credential creation, mcp integration available; Vespa misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, mcp integration available.

Operate. Both sit at 35/100 here. Lightning misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Vespa misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Lightning starts at $4.50/hr and has a free tier. Vespa starts at $0.05/hour with no free tier.

Signal by signal

Which to pick

Signal counts are level here, so fit and price decide it. Full profiles: Lightning and Vespa. Alternatives to each: Lightning, Vespa.

An agent can fetch this as data: POST /v1/compare {"slugs": ["lightning", "vespa"]}