AI Agent Index
ByHeather MacAvelia·Last verified Jun 10, 2026
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Tabstack

4.1/ 5

by Mozilla

MCP✓ Verified Review
Visit tabstack.ai

Mozilla-built API for AI agents to extract web data and automate browsers with schema-as-contract reliability. 10K free credits; paid plans from $99/mo.

Tabstack is a Mozilla-backed API that lets AI agents extract structured web data and automate browser actions without building or maintaining scrapers. Built on five core endpoints (extract markdown, extract JSON, generate, automate, research), it runs real browser instances rather than headless requests, which makes it more reliable on JavaScript-heavy and dynamic sites where traditional scrapers break. The schema-as-contract model is the core differentiator: pass a URL plus the JSON shape you want, and the API returns matching structured output every call, with explicit nulls for fields it cannot find rather than hallucinated guesses. Pricing is credit-based and transparent. Every new account includes 10,000 free credits to explore the full platform. Individual at $0 per month offers pay-as-you-go at $0.35 per 1,000 credits with access to all API endpoints, fast research mode, and standard rate limits. Team at $99 per month includes 500,000 credits, fast and balanced research modes, increased rate limits, and $0.30 per 1,000 credits overage. Pro at $499 per month includes 3,000,000 credits, highest rate limits, and $0.25 per 1,000 credits overage. Enterprise is available for larger deployments. Setup takes approximately 30 seconds via the MCP server, which connects directly to Claude, Cursor, Claude Code, and Codex without custom integration work. Named gaps: LinkedIn and G2 are intentionally not extractable by design to respect TOS; e-commerce sites typically require local configuration and threshold tuning rather than working out of the box; and the schema model is best-effort rather than strict-contract, meaning calls return nulls for missing fields instead of failing. Privacy posture is Mozilla-grade: ephemeral data with default purge after use, robots.txt compliant via a dedicated Mozilla Tabstack user-agent that gives site owners visibility and control, and no model training on customer content. Data is not retained beyond what is necessary to complete the API request. The underlying open-source library is available at github.com/mozilla/pilo. The GitHub repository has 35 stars, reflecting early-stage community adoption. Tabstack is not the right fit for teams needing to extract data from LinkedIn or G2: both platforms are intentionally blocked by design to respect their terms of service, and teams requiring those sources should evaluate Proxycurl (LinkedIn-specific) or other compliant alternatives. High-volume production workloads should model credit costs carefully before committing to a plan: at the Individual pay-as-you-go rate of $0.35 per 1,000 credits, costs scale linearly with extraction volume and can exceed the Team plan threshold quickly. Teams requiring confirmed SOC 2 or ISO 27001 certification before vendor approval should contact Mozilla Tabstack directly, as no public compliance documentation was found at the time of this audit. Current state Q2 2026: Tabstack is actively developed by Mozilla as a new product offering and maintains a public HackerNews presence. The MCP server integration enables 30-second setup with Claude, Cursor, Claude Code, and Codex. The github.com/mozilla/pilo repository has 35 stars. No G2 listing was found. The Enterprise plan is available for large-scale deployments. Tabstack is confirmed MCP-compatible.

Pricing

freemium · $99

View pricing ↗

Segment

b2b

Setup

easy

Verified

Jun 10, 2026

Transparency

Public

Contract

Month-to-month

Data training

Not Trained

Autonomy

Autonomous

Capabilities

web-searchautonomousdata-analysisworkflow-builderbrowser-automation

Pros & Limitations

Editorial assessment

Pros

  • Mozilla-backed privacy posture: ephemeral data, no model training, and robots.txt compliant via a dedicated Mozilla Tabstack user-agent that gives site owners visibility and control over automated access
  • Schema-as-contract API returns structured JSON on every call with explicit nulls for missing fields rather than hallucinated guesses, making downstream code easier to trust and reducing error handling complexity
  • 30-second MCP setup connects directly to Claude, Cursor, Claude Code, and Codex with no custom integration work required, enabling AI agents to call web extraction endpoints as native tools immediately

Limitations

  • LinkedIn and G2 are intentionally blocked by design to respect their terms of service: use cases requiring those sources need a different tool, as Tabstack will not extract data from platforms that prohibit automated access
  • Best-effort schema rather than strict-contract: calls return nulls for missing fields rather than failing hard, which requires careful null handling in downstream pipelines and means output completeness varies by site and field
  • E-commerce sites typically need local configuration and threshold tuning rather than working out of the box from the hosted playground, adding setup time for one of the most common web extraction use cases

Technical Details

Deployment
apicloud
Model architectureAPI
Avg setup timeUnder 5 minutes via MCP server
Autonomous rateHigh: all five API endpoints (extract markdown, extract JSON, generate, automate, research) execute autonomously without per-call human approval. The research endpoint runs a full research agent with cited answers in a single API call. Browser automation runs real browser instances autonomously.
MCP compatibleYes
Integrations
claudecursorclaude-codecodexmcppythontypescript

Similar agents

Rating

4.1/ 5

Editorial score

How we score this →

Score breakdown

AutCap 4 · IntDepth 5 · PriceTrans 5 · IndEvid 3 · SetupAcc 5 = 4.05

Industries

SaaSDevToolsB2BStartupsEnterpriseAgencies

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