TinyFish
The web wasn't built for agents. We're fixing that.
Category
Recommended for
- Solo / Indie
- Idea-Stage
- Pre-Seed
- Seed
- Series A
- Scaleup
- Late-Stage
- Public / Enterprise
SSIE
Stage Fit Recommendations
Following data shows why TinyFish is recommended for listed teams. The Fit Score represents the percentage fit of TinyFish to each company stages, as calculated by the SSIE.
Stage
Fit Score
Fit Reasons
Solo / Indie
$0–$2,000 MRR
88- Data export and portability
- Free plan available (Search), no purchase required to start
Idea-Stage
$0
88- Self-serve signup from $0.01/mo, no sales call required
- Open-source codebase, independently reviewable
Pre-Seed
$0–$10k MRR
91- Searches the web and returns fresh, structured JSON from dynamic pages
- Public API documentation for developers
Seed
$10k–$100k MRR
94- Fetches clean content from any URL in markdown, JSON, or HTML
- Bypasses anti-bot protections and handles dynamic rendering
Series A
$100k–$500k MRR
94- Data residency and regional hosting controls
- ISO/IEC 27001 - core enterprise certification
- Runs multi-step web automation with residential proxies and anti-bot handling
Scaleup
$500k–$2M+ MRR
91- Provides cloud browser sessions with persistent state and sub-250ms cold starts
- Extracts structured data from forms and tables with high accuracy
Late-Stage
$2M+ MRR
88- Accesses authenticated web content that traditional search cannot reach
- Custom contracts / procurement on the Enterprise plan
Public / Enterprise
$100M+ ARR
86- SSO / SAML on the Enterprise plan
- Audit logs on the Enterprise plan
- Uptime SLA on the Enterprise plan
- Custom contracts / procurement on the Enterprise plan
- Deploys agents with one API key and four APIs without routing code

Description
TinyFish provides enterprise infrastructure for web data operations, allowing users to run hundreds of sites at once and navigate, authenticate, extract, and transact with a serverless architecture. The platform is designed to simplify web data operations for agents. It offers features such as agent instructions and a playground for testing and development.
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