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Computalot

On-demand compute your AI agent can drive: typed jobs in, structured results out, metered by the second.

Computalot runs parameter sweeps, fan-outs, map-reduce batches, and benchmarks — thousands of parallel tasks on market-priced GPU and CPU capacity — behind one HTTP API. Results come back as structured JSON with aggregates and leaderboards, not log files to grep.

Start here: tell your agent

Paste this into Claude Code, Cursor, or any capable coding agent:

Fetch https://computalot.com/skill.md and follow it to set up Computalot
(on-demand GPU/CPU compute). Then use it to <describe your workload>
and report the results.

The skill teaches your agent how to authenticate, fund the account, submit jobs, watch progress, and collect results — it can run the whole loop while you review the output and the bill.

Open access. Any wallet can authenticate and fund an account — request a challenge, sign it, verify, then top up with USDC via x402 or MPP. API keys are issued on request via the waitlist.

Prefer to drive it yourself?

One model, four typed job shapes: create a project (your code + a Dockerfile), push it, then submit jobs — structured_runner, sweep, map_reduce, or benchmark — and read structured results. Custom scripts, models, simulations, and arbitrary workloads all fit the same loop.

Hand it to your agent, or run your own code in 5 steps.
Getting Started
Metered market rates, worked examples, and the billing model.
Pricing
Bring your own code. Create projects, push tarballs, manage runtime.
Projects
Submit work, fan out across inputs, track progress.
Jobs
Skill file, LLM references, and the machine-readable docs index.
Agent Integration
Install computalot and submit jobs from Python.
Python SDK
Structured results, file uploads, and streaming.
Results & Artifacts

Good for

  • Parameter sweeps, benchmarks, and simulation batches
  • Parallel evaluation across prompts, models, agents, or configs
  • GPU training with progress streaming and artifact storage
  • Monte Carlo runs, backtests, and evolutionary/CMA optimization loops

How you pay

Prepaid credits, metered per task-second at market rates. Every submit response includes summary.billing_estimate — the authoritative quote — and unused hold is released when the job settles. Agents can fund accounts autonomously with USDC over x402. See Pricing.

Report bugs & request features

No auth required:

curl -sS -X POST https://computalot.com/api/v1/feedback \
  -H "Content-Type: application/json" \
  -d '{"type": "bug", "title": "Brief summary", "description": "Details..."}'

Types: bug, feature_request, provisioning, job_type_request.

Reference

Last updated on
Getting Started