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Electric Sql vs LlamaIndex

LlamaIndex scores higher on the AgentReady, 52/100 against 42/100. They differ on 5 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Electric Sql. Electric is an agent platform built on sync, providing managed agents, streams, and a sync engine for building multi-agent systems and local-first apps.

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

Where Electric Sql is ahead

Electric Sql passes cli available, and LlamaIndex 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 LlamaIndex is ahead

LlamaIndex passes structured api reference and limits / constraints documented, and Electric Sql 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. Electric Sql misses it.

And on operate, observable execution. Electric Sql misses it.

What neither does

Both fail clear canonical domain, clear product positioning, 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. Both sit at 67/100 here. Electric Sql misses clear canonical domain, clear product positioning, mcp discoverable; LlamaIndex misses clear canonical domain, clear product positioning, 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 23. Electric Sql misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; LlamaIndex misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented.

Adopt. LlamaIndex leads 60 to 55. Electric Sql misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, mcp integration available; LlamaIndex misses no mandatory sales call, programmatic credential creation, cli available, mcp integration available.

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

Pricing

Electric Sql starts at $1 per 1M writes and has a free tier. LlamaIndex starts at $0/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: Electric Sql and LlamaIndex. Alternatives to each: Electric Sql, LlamaIndex.

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