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Selectpdf vs Zilliz

Zilliz scores higher on the AgentReady, 49/100 against 47/100. They differ on 4 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.

Zilliz. Zilliz offers a fully managed Vector Lakebase powered by Milvus, unifying real-time vector search, lake-scale discovery, and AI data operations.

Where Selectpdf is ahead

Selectpdf passes fast time to first request and copyable quickstart, and Zilliz 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 Zilliz is ahead

Zilliz passes cli available, and Selectpdf does not. That is adopt, whether an agent can get a key and make its first successful call without a human in the loop.

It also holds operate: observable execution. Selectpdf misses it.

What neither does

Both fail llms-full.txt / full agent docs, mcp discoverable, structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints 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. Both sit at 80/100 here. Selectpdf misses llms-full.txt / full agent docs, mcp discoverable; Zilliz misses llms-full.txt / full agent docs, mcp discoverable.

Understand. Both sit at 31/100 here. Selectpdf misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Zilliz misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Selectpdf leads 52 to 45. Selectpdf misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, cli available, mcp integration available; Zilliz misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart, mcp integration available.

Operate is whether an agent can run against it in production and recover when a call fails. Zilliz leads 39 to 24. Selectpdf misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; Zilliz 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. Zilliz does not publish one and has a free tier.

Selectpdf plansZilliz plans
Free trial $0-
Community Edition $0-
Online API plans $19–$449/mo-
.NET Library from $499-

Signal by signal

SignalSelectpdfZilliz
AgentReady4749
Discovery8080
Understanding3131
Adoption5245
Operability2439
Public APIYesYes
MCP serverNoUnknown
OpenAPI specNoUnknown
CLINoYes
llms.txtYesYes
Self-serve signupYesYes
Free tierYesYes

Which to pick

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

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