Beam vs Lightning
Lightning scores higher on the AgentReady, 57/100 against 52/100. They differ on 3 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.
What each one is
Beam. Serverless GPU cloud platform for running AI inference, agents, and task queues with sub-second cold starts.
Lightning. Lightning AI is a platform for building, training and deploying AI models.
Where Beam is ahead
Beam 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.
Where Lightning is ahead
Lightning passes structured api reference, and Beam does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.
It also holds adopt: agent-compatible signup flow. Beam misses it.
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. Beam leads 87 to 80. Beam misses mcp discoverable; Lightning misses clear canonical domain, mcp discoverable.
Understand is whether an agent can read the docs and work out how the API behaves before calling it. Lightning leads 46 to 31. Beam misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented; Lightning misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented.
Adopt. Lightning leads 65 to 55. Beam misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, mcp integration available; Lightning misses no mandatory sales call, programmatic credential creation, mcp integration available.
Operate. Both sit at 35/100 here. Beam misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Lightning misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.
Pricing
Beam starts at $0.0000418/sec and has a free tier. Lightning starts at $4.50/hr and has a free tier.
| Beam plans | Lightning plans |
|---|---|
| Developer $0/mo | On-demand H100s $4.50 / hr |
| Team $89/mo | - |
| Growth Custom | - |
Signal by signal
| Signal | Beam | Lightning |
|---|---|---|
| AgentReady | 52 | 57 |
| Discovery | 87 | 80 |
| Understanding | 31 | 46 |
| Adoption | 55 | 65 |
| Operability | 35 | 35 |
| Public API | Yes | Yes |
| MCP server | No | Unknown |
| OpenAPI spec | Unknown | Yes |
| CLI | Yes | Yes |
| llms.txt | Yes | Yes |
| Self-serve signup | Yes | Yes |
| Free tier | Yes | Yes |
Which to pick
Lightning clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Beam and Lightning. Alternatives to each: Beam, Lightning.
An agent can fetch this as data: POST /v1/compare {"slugs": ["beam", "lightning"]}