Does Tinyfish support MCP and tool calling?

Full under the Agentic Index verification standard. Tinyfish publishes public evidence of Model Context Protocol (MCP) support, tool calling, and API or SDK extensibility for connecting agents to external tools. Evidence basis: A documented REST API for agent runs, runs, browser sessions, search, fetch, monitors, vaults and profiles, a CLI and an MCP server. AgentQL is a separate product from the same company. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Tinyfish have SOC 2, SSO and role based access control?

Full under the Agentic Index verification standard. Tinyfish publishes public evidence of enterprise security and identity controls, covering a compliance posture such as SOC 2 or ISO 27001, single sign on (SSO or SAML), and role based access control (RBAC). Evidence basis: The enterprise page lists ISO 27001, enterprise SSO, role based access and audit logs, with encrypted credential handling and a Vanta trust center at trust.tinyfish.ai. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Can Tinyfish be self hosted or run in a private VPC?

Full under the Agentic Index verification standard. Tinyfish publishes public evidence of self hosted or private VPC deployment, along with data residency options for controlling where agent data is processed and stored. Evidence basis: The enterprise page lists VPC deployment beside the serverless cloud service; no region list is published. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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Tinyfish

Q: What are the best alternatives to Tinyfish?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Tinyfish among browser and computer-use agents are Notte, Autotab, H Platform, AGI, Inc.. Each is graded on the same public evidence, and no vendor pays for placement.

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Browser / computer-use agentindependentVerified 2026-09-27

Entry pricePay per use: Agent $0.016 a step, Browser $0.002 a minute; Search and Fetch freeFull pricing detail

Enterprise infrastructure for AI web agents that navigate, authenticate, extract, and transact across hundreds of live sites in parallel through a single Model Context Protocol native API.

TinyFish is enterprise infrastructure for AI web agents, founded in 2024 in Palo Alto and led by chief executive Sudheesh Nair, and it launched with forty seven million dollars in funding led by ICONIQ Capital. The premise is that much of the web's most valuable data sits behind logins, forms, and paywalls where search engines cannot reach and traditional automation fails. TinyFish deploys swarms of specialized agents that sign in, navigate, extract, and act like humans at scale, and already runs hundreds of thousands of enterprise web agents every month for customers including Google, DoorDash, Amazon, and ClassPass across hospitality, insurance, retail, and logistics.

The platform brings four capabilities under one application programming interface key and one credit pool: Search returns structured results from live pages rendered by real browsers rather than cached indexes, Fetch converts any URL into clean markdown or JSON, Browser provides stealth sessions that defeat anti bot protection, and Agent runs autonomous multi step web workflows. It is serverless, with no browsers to manage or proxies to configure, and can run up to a thousand simultaneous operations across hundreds of sites, completing in minutes what would take days by hand.

TinyFish is Model Context Protocol native, so it works with Claude, Cursor, and any compatible client, and it also offers a direct application programming interface plus integrations with tools like n8n and Vercel. Its open source AgentQL project adds an AI powered query language with Python and JavaScript software development kits, a REST endpoint, and a browser based debugger, using natural language selectors that self heal as sites change. Agents preserve state and authentication across sessions and return structured outputs to downstream systems, webhooks, and audit trails.

The platform is built for enterprise governance, emphasizing consistency, inspectability, and control through deterministic web execution and structured, auditable artifacts. In its own framing it reports an eighty one percent success rate on complex web tasks against a much lower figure for a leading consumer agent. Its main gaps for the index are that named security certifications, a self hosted deployment of the full platform, a persistent learning memory, and user facing model selection were not clearly documented, since it deliberately bundles model inference into one usage based price.

Vendor details

Canonical URL

https://tinyfish.ai

Company status

independent

Use cases & customers

In practice

An energy company must pull invoices from hundreds of vendor portals. TinyFish agents log into 341 portals across 1,643 monthly logins, navigate multi step workflows, and return structured invoices and status updates to downstream systems automatically.

A small hotel in Japan with eight rooms and no API needs its availability on Google. A TinyFish agent signs into the booking system, reads dates and pricing, and updates the Google Hotels listing without the hotel changing anything.

An insurance marketplace collects quotes from many carriers. TinyFish handles each provider's different authentication and form structure, retrieves rates, and returns structured, comparable quotes, running many portals in parallel in a fraction of the manual time.

Agentic Index coverage score

7.5 / 14 capabilities · 54%

Integrations & Tool Calling	Partial
Agents act on websites through the browser and log in with credentials from a connected vault, and results go to webhooks; the MCP, n8n and Dify integrations let other tools call TinyFish, and no connector catalog or custom tool support for the agent is documented. Sourcedocs.tinyfish.ai/key-concepts/credentialsread 2026-09-27
Workflow Orchestration	Partial
Each run is one goal the agent carries out over many steps, and many runs start in parallel through the bulk asynchronous API; sequencing and branching across runs are left to the customer's code, and no workflow model is documented. Sourcedocs.tinyfish.ai/key-concepts/runsread 2026-09-27
Knowledge Grounding & RAG	Not documented
Search and Fetch read the live web at run time; no maintained store of the customer's own knowledge is documented. Sourcedocs.tinyfish.ai/search-api/indexread 2026-09-27
Human Oversight & Guardrails	Partial
Runs take customer set constraints: a strict mode that stops instead of exploring workarounds, a step limit and a maximum duration (step limit and strict mode in beta); no approval step or pause for a person is documented. Sourcedocs.tinyfish.ai/agent-api/referenceread 2026-09-27
Security, Identity & Governance	Full
The enterprise page lists ISO 27001, enterprise SSO, role based access and audit logs, with encrypted credential handling and a Vanta trust center at trust.tinyfish.ai. Sourcetinyfish.ai/enterpriseread 2026-09-27
Observability & Auditability	Full
Runs can be listed and searched, each step keeps a screenshot and an HTML snapshot through the API, runs stream progress and a live browser preview, and the enterprise page lists audit logs. Sourcedocs.tinyfish.ai/api-reference/runs/get-step-screenshotread 2026-09-27
Memory & State Persistence	Not documented
Browser context profiles keep logins and site state across runs, which is browser state, and Monitor keeps a history of runs, which is run data; no memory the agent reads to decide is documented. Sourcedocs.tinyfish.ai/key-concepts/browser-context-profilesread 2026-09-27
Deployment & Data Residency	Full
The enterprise page lists VPC deployment beside the serverless cloud service; no region list is published. Sourcetinyfish.ai/enterpriseread 2026-09-27
Prebuilt Agents, Templates & Packs	Not documented
The docs offer code examples (scraping, form filling, bulk requests) and a prompting guide, but no packaged agents or templates to adopt. Sourcedocs.tinyfish.ai/common-patternsread 2026-09-27
Triggers & Channel Coverage	Full
Monitor runs checks of a page or web topic on a recurring schedule and sends changes to a webhook or email, beside runs started from the API, CLI, MCP, n8n and Dify. Sourcedocs.tinyfish.ai/monitor/indexread 2026-09-27
Model Flexibility & Routing	Not documented
The Agent API reference offers no model setting, inference is bundled into the per step price, and TinyFish's Mako is its own model. Sourcedocs.tinyfish.ai/agent-api/referenceread 2026-09-27
APIs, SDKs & MCP Extensibility	Full
A documented REST API for agent runs, runs, browser sessions, search, fetch, monitors, vaults and profiles, a CLI and an MCP server. AgentQL is a separate product from the same company. Sourcedocs.tinyfish.ai/agent-api/referenceread 2026-09-27
Testing, Debugging & Optimization	Not documented
The benchmarks page is the vendor's own comparison, and step snapshots record runs rather than test them; no evaluation harness, scored test cases or quality gate for the customer's agent runs is documented. Sourcedocs.tinyfish.ai/llms.txtread 2026-09-27
Browser & Computer Use	Full
The Agent API takes a goal and a URL and navigates, authenticates, fills forms and extracts across live sites in lite or stealth browsers, and the Browser API provides remote browser sessions with a live preview. Sourcedocs.tinyfish.ai/agent-api/indexread 2026-09-27

The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Recent platform changes

2026-07-22·Agent capabilityVerified

Tinyfish launched Mako, a web-agent-native AI model built to operate the live web and execute multi-step workflows at scale. Trained on real production data from authenticated enterprise tasks, the model is now the default engine behind the Tinyfish Web Agent. Mako natively encodes web elements and caches page state to maintain context across long workflows without exceeding context limits.

Bears on: Agent capability

View source

View all 1 change for Tinyfish →Tracked since Jul 2026 · Verified from public vendor sources

Pricing

Pay per use: Agent $0.016 a step, Browser $0.002 a minute; Search and Fetch free

Free tier

What is public

tinyfish.ai/pricing: usage based, no plans and no monthly minimum; Agent $0.016 per step, Browser $0.002 per minute, metered against prepaid Wallet funds; Search and Fetch free within rate limits. The earlier Starter $15 and Pro $150 plans and the $0.015 per step rate are withdrawn.

Free / trial

Search and Fetch free within rate limits

Lowest paid plan

No plans; prepaid Wallet

Key ambiguities

Steps per task vary with the site and goal, so cost per task is estimated rather than fixed.

Agentic Index verified 2026-09-27

Official pricing page

Related vendors

Alternatives to Tinyfish

The closest documented capability profiles to Tinyfish among browser and computer-use agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

Notte9.5 / 14Adds documented Model Flexibility & Routing and Testing, Debugging & Optimization
Autotab8.0 / 14Adds documented Memory & State Persistence and Testing, Debugging & Optimization
H Platform9.0 / 14Adds documented Prebuilt Agents, Templates & Packs and Testing, Debugging & Optimization
AGI, Inc.6.0 / 14Adds documented Memory & State Persistence
Browserbase10.0 / 14Adds documented Memory & State Persistence and Model Flexibility & Routing, among othersTinyfish vs Browserbase →
Pine AI6.0 / 14Adds documented Memory & State Persistence and Prebuilt Agents, Templates & Packs

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Compare Tinyfish with other vendors →Compare all browser and computer-use agents →See where Tinyfish ranks →

Data confidence: high

Head to head

Tinyfish vs Browserbase