Laminar vs Modal
Laminar scores higher on the AgentReady, 57/100 against 55/100. They differ on 8 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.
What each one is
Laminar. Laminar is an open-source, OpenTelemetry-native observability and debugging platform built for AI agents.
Modal. Modal provides a serverless cloud for engineers and researchers who want to build compute-intensive applications without thinking about infrastructure.
Where Laminar is ahead
Laminar passes mcp discoverable, and Modal does not. That is discover, whether an agent can find the product at all without being told it exists.
It also holds understand: authentication documented. Modal misses it.
And on adopt, mcp integration available. Modal misses it.
Finally, on operate, agent compatibility verified. Modal misses it.
Where Modal is ahead
Modal passes structured api reference, and Laminar 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: no mandatory sales call and agent-compatible signup flow. Laminar misses those.
And on operate, observable execution. Laminar misses it.
What neither does
Both fail clear canonical domain, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, programmatic credential creation, fast time to first request, copyable quickstart, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable. 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 is whether an agent can find the product at all without being told it exists. Laminar leads 93 to 80. Laminar misses clear canonical domain; Modal misses clear canonical domain, mcp discoverable.
Understand. Modal leads 38 to 31. Laminar misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Modal misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.
Adopt. Modal leads 65 to 60. Laminar misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart; Modal misses programmatic credential creation, fast time to first request, copyable quickstart, mcp integration available.
Operate. Laminar leads 44 to 35. Laminar misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution; Modal misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.
Pricing
Laminar starts at $0/mo and has a free tier. Modal starts at $0/mo and has a free tier.
| Laminar plans | Modal plans |
|---|---|
| Free $0/ month | Starter $0 + compute / month |
| Starter $30/ month | Team $250 + compute / month |
| Pro $150/ month | Enterprise Custom |
| Enterprise Custom | - |
Signal by signal
| Signal | Laminar | Modal |
|---|---|---|
| AgentReady | 57 | 55 |
| Discovery | 93 | 80 |
| Understanding | 31 | 38 |
| Adoption | 60 | 65 |
| Operability | 44 | 35 |
| Public API | Yes | Yes |
| MCP server | Yes | No |
| OpenAPI spec | Unknown | Yes |
| CLI | Yes | Yes |
| llms.txt | Yes | Yes |
| Self-serve signup | Yes | Yes |
| Free tier | Yes | Yes |
Which to pick
Signal counts are level here, so fit and price decide it. Full profiles: Laminar and Modal. Alternatives to each: Laminar, Modal.
An agent can fetch this as data: POST /v1/compare {"slugs": ["lmnr", "modal"]}