Product

Replicate

by Replicate

Product website
https://replicate.com
Documentation
https://replicate.com/docs
Pricing
https://replicate.com/pricing
Categories
ML Model Hosting / Deployment MLOps / Model Deployment

Description

Cloud API for running open-source machine learning models, with developer documentation at replicate.com/docs.

AI-native score

How ready this product is for agents to use, on a 0–100 scale across four weighted dimensions. Security is one of them, so a high score is not a substitute for your own security or vendor-risk review. How is this scored?

Unrated. Only 23% of the scored decision fields are researched, so the grade is held until more are confirmed. The breakdown below shows what's been scored.

Integration4/10Trust0/6Portability3/4Security0/4Tier D29/100
Component Raw Weight Contribution
Integration 4/10 35% 14.0
Trust 0/6 30% 0.0
Portability 3/4 20% 15.0
Security 0/4 15% 0.0
Signals that fired
  • Integration: MCP server (+2) ; API spec, OpenAPI / gRPC / GraphQL (+1) ; SDK / developer kit (+1)
  • Portability: Open standards (+1) ; Standard protocol access (+1) ; No proprietary-SDK lock-in (+1)
Signals not researched

These gaps cover the fields used in the AI-native score.

  • Integration surfaces: llms.txt, WebMCP, Headless signup, Agent2Agent (A2A) servers, Native connectors, Command-line interfaces, Agent skills
  • Trust & data policy: Trust center, Multi-factor authentication, Zero data retention, No generative AI training, Hard budget caps, Sandbox environment, Data export, Data import, Documented provider swap, Self-hostable, Open source
  • Security & compliance: Compliance certifications, Access controls

Trust & data policy

Open standards
Yes
Standard protocol access
Yes
No proprietary-SDK lock-in
Yes

Not yet researched Trust center, Multi-factor authentication, Zero data retention, No generative AI training, Hard budget caps, Sandbox environment, Data export, Data import, Documented provider swap, Self-hostable, Open source

What it does

Jobs to be done

  • Deploy a model for inference

    Deploy a machine learning model as a hosted endpoint for inference requests.

    View 6 products

Integration surfaces

How an agent connects to this product and finds its documentation. The largest dimension of the AI-native score (35%).

MCP servers

Model Context Protocol endpoints an AI agent can connect to for this product's tools and data.

API specs

Developer kits

Not yet researched llms.txt, WebMCP, Headless signup, Agent2Agent (A2A) servers, Native connectors, Command-line interfaces, Agent skills

Offers

Full pricing page

CPU Small

Rate Unit price
CPU Small $0.000025 per second

Billing: Pay As You Go

Private models bill for setup, idle and processing time; fast booting fine-tunes bill only active processing.

Reviews

No approved reviews yet.

RSS: approved reviews

Catalog activity

Track how this entry changes as proposals are opened and merged.

RSS: merged changes · RSS: open proposals

Products from other publishers that share a job-to-be-done or category, most-shared first.

  • Baseten Inference by Baseten Unrated

    Same job: Deploy a model for inference (not assessed)

  • Fireworks Inference by Fireworks AI Unrated

    Same job: Deploy a model for inference (not assessed)

  • Modal by Modal Unrated

    Same job: Deploy a model for inference (not assessed)

  • Nebius AI Cloud by Nebius Tier C

    Same job: Deploy a model for inference (not assessed)

  • Runpod Cloud by Runpod Tier C

    Same job: Deploy a model for inference (not assessed)

  • Lamini Platform by Lamini Unrated
    LLM Fine-Tuning Platform ML Model Hosting / Deployment

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Ready to decide?

Unrated · 23% researched. Grade withheld until more fields are verified.

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