How we evaluate web data tools
What enters the directory
We catalogue tools across eight categories: AI search APIs, SERP data APIs, web scraping APIs, browser infrastructure, web indexes, agentic extraction, open-source frameworks, and benchmarks. A tool qualifies for inclusion when it is operational, has a functioning website and pricing or pricing-on-request, and serves a use case relevant to AI product builders. Vaporware, abandoned projects, and tools without active development are excluded.
We do not require sponsorship, payment, or a vendor relationship for inclusion. The directory is editorially curated from first-party research, vendor documentation, hands-on testing where feasible, and publicly available product information.
How we form an editorial assessment
Each tool review combines four inputs: vendor documentation (claims, pricing, feature lists), hands-on testing where the vendor offers free credits or trials, third-party benchmark data when published independently, and qualitative signals from the vendor's public presence (changelog cadence, support quality, GitHub activity for open-source projects).
Our verdicts are written to be useful to the specific audience we serve: AI product builders evaluating tools for production use. We weight reliability, clarity of pricing at scale, integration ergonomics, and whether the vendor's positioning matches the actual product. We do not weight things that matter less to AI builders, such as multi-language SDK breadth or deep on-prem deployment options.
Where we have not tested a tool ourselves, we say so. Where our assessment depends on vendor claims, we mark it as such. We update reviews when meaningful product changes happen – pricing shifts, major releases, acquisitions, or significant outages.
What we do not yet do
We do not currently publish first-party benchmarks. The benchmarks category in our directory lists third-party benchmark suites (such as ClawBench), but we have not yet run our own tests at sufficient scale to publish. Building first-party benchmark capacity is on our roadmap.
We do not assign numerical scores. Many comparable sites do. Numerical scoring trades some editorial nuance for skimmability; we have chosen the other side of that tradeoff for now. If we add scores in the future, we will publish the rubric and recompute scores transparently.
We do not run paid placements. Tools cannot pay to be added, promoted, or rewritten. Affiliate links exist for some commercial tools and are disclosed wherever they appear. Affiliate revenue does not influence inclusion or editorial assessment.
Corrections and updates
If a vendor or reader identifies an inaccuracy, we correct it. Email hello@serp.fast with the page, the specific claim, and a source we can verify. We respond to corrections within five business days and update the page with a visible “Last reviewed” timestamp.
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