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Selectpdf vs Vespa

Vespa scores higher on the AgentReady, 56/100 against 47/100. They differ on 6 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Selectpdf. SelectPdf is a battle-tested HTML to PDF toolkit providing a .NET Library for self-hosted embedding and a REST API for any language.

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 Selectpdf is ahead

Selectpdf passes authentication documented, and Vespa does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.

Where Vespa is ahead

Vespa passes llms-full.txt / full agent docs, and Selectpdf does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: structured api reference and limits / constraints documented. Selectpdf misses those.

And on adopt, cli available. Selectpdf misses it.

Finally, on operate, observable execution. Selectpdf misses it.

What neither does

Both fail mcp discoverable, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, no mandatory sales call, agent-compatible signup flow, 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. Selectpdf misses llms-full.txt / full agent docs, mcp discoverable; Vespa misses mcp discoverable.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. Vespa leads 46 to 31. Selectpdf misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Vespa misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented.

Adopt. Vespa leads 55 to 52. Selectpdf misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, cli available, mcp integration available; Vespa misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, mcp integration available.

Operate. Vespa leads 35 to 24. Selectpdf misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; Vespa misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Selectpdf starts at $19/mo and has a free tier. Vespa starts at $0.05/hour with no free tier.

Signal by signal

Which to pick

Vespa clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Selectpdf and Vespa. Alternatives to each: Selectpdf, Vespa.

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