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DataForSEO vs Moz

DataForSEO scores higher on the AgentReady, 56/100 against 49/100. 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

DataForSEO. DataForSEO provides comprehensive SEO and digital marketing data solutions via API, aggregating data from search engines, marketplaces, review platforms, and billions of websites to provide SEO, PPC, backlink and ecommerce data for building digital marketing solutions.

Moz. Moz is an SEO and digital marketing solutions company providing tools for keyword research, competitive research, link research, rank tracking, and AI search visibility.

Where DataForSEO is ahead

DataForSEO passes search discoverable, public docs discoverable and llms.txt published, and Moz does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds adopt: agent-compatible signup flow. Moz misses it.

And on operate, observable execution. Moz misses it.

Where Moz is ahead

Moz passes authentication documented, and DataForSEO 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 official python sdk. DataForSEO misses those.

What neither does

Both fail llms-full.txt / full agent docs, structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, programmatic credential creation, cli 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 is whether an agent can find the product at all without being told it exists. DataForSEO leads 93 to 60. DataForSEO misses llms-full.txt / full agent docs; Moz misses search discoverable, public docs discoverable, llms.txt published, llms-full.txt / full agent docs.

Understand. Moz leads 38 to 31. DataForSEO misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented; Moz misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented.

Adopt. Moz leads 75 to 65. DataForSEO misses no mandatory sales call, programmatic credential creation, official python sdk, cli available; Moz misses agent-compatible signup flow, programmatic credential creation, cli available.

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

Pricing

DataForSEO does not publish a machine-readable starting price and has a free tier. Moz starts at $20 and has a free tier.

Signal by signal

Which to pick

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

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