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LlamaIndex vs Selectpdf

LlamaIndex scores higher on the AgentReady, 52/100 against 47/100. 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

LlamaIndex. LlamaIndex provides document parsing and extraction tools that turn complex documents into AI-ready context.

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.

Where LlamaIndex is ahead

LlamaIndex 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, agent-compatible signup flow. Selectpdf misses it.

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

Where Selectpdf is ahead

Selectpdf passes clear canonical domain and clear product positioning, and LlamaIndex 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. LlamaIndex 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, programmatic credential creation, cli available, 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. Selectpdf leads 80 to 67. LlamaIndex misses clear canonical domain, clear product positioning, mcp discoverable; Selectpdf misses llms-full.txt / full agent docs, mcp discoverable.

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

Adopt. LlamaIndex leads 60 to 52. LlamaIndex misses no mandatory sales call, programmatic credential creation, cli available, mcp integration available; Selectpdf misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, cli available, mcp integration available.

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

Pricing

LlamaIndex starts at $0/mo and has a free tier. Selectpdf starts at $19/mo and has a free tier.

Signal by signal

Which to pick

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

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