AI Agent Index
ByHeather MacAvelia·Independently reviewed·Published May 1, 2026·Updated Jul 27, 2026
Independently verified against live vendor data on Jul 27, 2026.

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.

How we scored it

Autonomy

4/5

Integrations

5/5

Pricing clarity

4/5

Evidence

3/5

Setup

5/5

The facts

Tabstack is a Mozilla-built API that lets AI agents extract structured web data and automate browser actions without building or maintaining scrapers. Five endpoints cover the surface: extract markdown, extract JSON, generate JSON, research, and automate. Rather than spinning up a full browser for every request, Tabstack uses escalation logic: it attempts lightweight fetches first and escalates to full browser automation only when a site requires JavaScript execution or client-side hydration. 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. Integration is API-first. Official TypeScript and Python SDKs, a CLI, and a LangChain integration ship alongside a hosted MCP server that connects Tabstack into Claude Code, Cursor, VS Code Copilot, Windsurf, Zed, and any other MCP-capable client. Automate runs on Pilo, Mozilla's open-source browser engine, which the project documents as using 60 to 80 percent fewer tokens than screenshot-based approaches. Geotargeting lets calls resolve region-specific pages, which matters for pricing and catalog data that varies by country. Pricing is credit-based and stated in USD on the pricing page. Every new account includes 10,000 free credits. Individual is $0 per month pay-as-you-go at $0.35 per 1,000 credits with access to all endpoints, fast research mode, and standard rate limits. Team at $99 per month includes 500,000 credits, adds balanced research mode and increased rate limits, and bills overage at $0.30 per 1,000 credits. Pro at $499 per month includes 3,000,000 credits, the highest rate limits, and $0.25 per 1,000 credits overage. Enterprise is quote-only through Contact Sales for custom quotas, dedicated support, and SLAs. Credits are consumed per action: 10 for markdown extraction, 50 for JSON extraction, 100 for generate or automate, 250 for fast research, and 350 for balanced research. What the entry price does not buy is predictable cost at volume. Automate and research run a variable number of actions per task, and pay-as-you-go spend scales linearly past the Team threshold quickly. Balanced research mode is gated behind Team, and the highest rate limits are gated behind Pro. Tabstack is not the right fit for teams that require certified vendors. Mozilla's own compliance documentation states Tabstack holds no third-party certifications, and neither SOC 2 Type I or Type II nor ISO 27001 is currently held. Buyers should also note that Tabstack honors robots.txt only where rules are addressed to its dedicated Mozilla-Tabstack user-agent, not blanket wildcard directives. Teams evaluating alternatives typically weigh it against Firecrawl, Browserbase, Apify, and Browser Use, and Mozilla publishes head-to-head comparison pages for each. Current state Q3 2026: Tabstack ships from Mozilla's New Products incubator and remains actively developed, with the Pilo repository at 81 stars and commits landing this month. The research API launched February 2026 and the team published its indirect prompt injection hardening work in June 2026. No G2 profile exists; ProductHunt shows a 5.0 rating from 2 reviews across 1,200 followers.

Pricing

subscription · $99/mo

View pricing ↗

Segment

b2b

Setup

easy

Verified

Jul 27, 2026

Transparency

Mostly Public

Contract

Month-to-month

Data training

Not Trained

Autonomy

Autonomous

Capabilities

web-searchautonomousdata-analysisworkflow-builderbrowser-automation

Pros & Limitations

Editorial assessment

Pros

  • Schema-as-contract API returns structured JSON on every call with explicit nulls for missing fields rather than hallucinated guesses, which makes downstream error handling simpler and more predictable.
  • A hosted MCP server plus TypeScript, Python, CLI, and LangChain clients let agents call web extraction as a native tool with no custom integration work.
  • Mozilla-built privacy posture: payloads are not stored by default, requests carry a dedicated Mozilla-Tabstack user-agent that site owners can recognize and block, and content is never used to train models.

Limitations

  • No third-party security certifications: Mozilla's compliance documentation confirms Tabstack holds neither SOC 2 Type I or Type II nor ISO 27001, which will block vendor approval at security-reviewing enterprises.
  • Automate and research bill a variable number of actions per task, so cost is hard to forecast: a single balanced research call consumes 350 credits against 10 for a markdown extraction.
  • Best-effort schema rather than strict contract: calls return nulls for missing fields instead of failing, so downstream pipelines need deliberate null handling and output completeness varies by site.

Technical Details

Deployment
apicloud
Model architectureProprietary browser engine (Pilo) with OpenAI models as named sub-processor
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.
Integrations
claudecursorclaude-codecodexmcppythontypescriptclilangchainwindsurfzedvscode-copilot

Similar agents

Rating

4.0/ 5

Editorial score

How we score this →

Recognition

MCP Server VerifiedListed 2026
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Industries

SaaSDevToolsB2BStartupsEnterpriseAgencies

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