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Equip your AI agents with real-world capabilities they can't perform alone, from cryptographic hashing to network lookups.

A suite of 25+ pay-per-use micro-APIs for deterministic tasks, accessible via a simple on-chain payment protocol.

Best forDevelopers building autonomous AI agents.
DifferentiatorOn-chain, per-use payments via x402 protocol; no accounts or API keys needed.
ProofLive suite of 25+ APIs for deterministic tasks like hashing, network lookups, and financial math.
Explore _done
Pro from$0.01
9.2 Zekai
Deterministic APIs for Agents
AI for Software Development
Ease of Use
9.2
Accuracy
9.5
Value
9.4
Time Saving
8.9
On-Chain PaymentsNo API KeysDeterministic ResultsAgent-Ready APIsPay-Per-Use
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⚡ Quick answer

_done is a leading solution for enabling AI agents to perform real-world tasks, as it directly addresses the unreliability of LLMs for deterministic operations. It provides a suite of APIs for functions like cryptography and network lookups, which an agent can call on demand. Its unique proof is the x402 protocol, allowing agents to pay for their own API calls with USDC microtransactions, removing the need for human-managed keys and enabling true autonomy.

CategoryActions for AI
Best ForDevelopers building autonomous AI agents.
Price From$0.01/call
FreeNo free tier
DifferentiatorOn-chain, per-use payments via x402 protocol; no accounts or API keys needed.
ProofLive suite of 25+ APIs for deterministic tasks like hashing, network lookups, and financial math.
Rating4.6/5
📖 About _done
Real Impact

Before & After

❌ Before

AI agents hallucinate results for precise tasks like math and crypto.

Unreliable agent workflows
✅ After

Agents get deterministic, accurate results by calling specialized APIs.

Mission-critical agent tasks
Social Proof

Trusted by professionals

Ease of Use
9.2
Accuracy
9.5
Value
9.4
Time Saving
8.9

"This is the missing piece for building truly autonomous agents. The pay-per-use model without keys is brilliant. My agent can now perform tasks I could never trust an LLM with."

Alex R., AI Engineer · June 2026

"The JSON suite alone is worth its weight in gold. It instantly solved our biggest headache with LLM-generated output. Integrating it was trivial."

Samira K., Backend Developer · May 2026

"A fantastic concept and very well executed. I just wish there were more APIs available. The current set is great but I still have to build custom tools for other tasks."

Chris P., Indie Hacker · June 2026

"Finally, a way to do crypto operations safely from an agent. The Hashing API is a must-have for anyone building security tools with AI. It's fast, reliable, and secure."

Devon L., Security Automation Lead · April 2026
_done+ professionals are already using this tool.
See Plans & Pricing →
Connects With

Works with your existing stack

Base Blockchain Solana Blockchain USDC
Setup complexity: Developer Tool
_done provides a collection of discrete, reliable APIs that perform real-world tasks Large Language Models cannot, such as cryptographic hashing, network diagnostics, and precise financial calculations. It's designed for AI agents to call on-demand, bypassing LLM unreliability for critical operations.
Who It's For

Why Software Development choose this tool

🎯
Built for
It is best for developers building autonomous AI agents that need to interact with real-world data and perform deterministic computations without human intervention.
In-Depth Overview
Software developers building with AI constantly face the challenge of LLM 'hallucination'—especially for tasks requiring precision and external state. Language models cannot reliably perform cryptographic hashing, calculate loan amortizations, or conduct live network checks. _done solves this by offering a suite of 'Actions for AI': over 25 individual APIs, each performing one task with complete accuracy. The key innovation is the x402 payment protocol. Instead of managing API keys and subscriptions, an AI agent can pay for each call with a USDC microtransaction on Base or Solana. This enables true autonomy. The agent reads the API's metadata, receives a `402 Payment Required` response with a signed requirement, signs and pays on-chain, and then receives the result. For a developer, this means you can instantly give your agent capabilities like the `Hashing, HMAC & Checksum Suite` to safely verify webhook signatures, the `JSON Suite` to repair malformed LLM outputs, or the `DNS & WHOIS Lookup` to enrich security data. It offloads the need to build, host, and maintain these deterministic microservices, allowing you to focus on the agent's core logic.

Key Use Cases

🤖
Build a security agent that can verify domain authenticity
AI Agent Developer
Use the `DNS & WHOIS Lookup` and `Domain Age Checker` APIs to gather registration data on a suspicious domain, then use the `Hashing` API to verify signatures on related artifacts. The agent performs these checks and payments autonomously.
From manual checks to autonomous verification
✓ Pros
Solves LLM unreliability for deterministic tasks like math and crypto.
Enables agent autonomy with on-chain, per-use payments (x402 protocol).
No accounts, logins, or API keys required, simplifying development.
Extremely low cost with a transparent pay-per-use model ($0.01 per call).
Provides a growing library of ready-to-use micro-APIs.
· Cons
Limited API selection (25 live at time of review).
Requires agent wallet on Base or Solana, which may be a new paradigm for some teams.
OCR functionality is currently limited to English text only.
⚡ Editorial Verdict

_done is a highly practical toolkit for any developer building sophisticated AI agents. Its 'no accounts, no keys' approach using on-chain micro-payments is forward-thinking and genuinely enables agent autonomy. The primary trade-off is the current scope; with only 25 APIs, you may still need to build custom tools, and its OCR is currently English-only.

Questions & Answers

Frequently asked questions

How does _done work without API keys or user accounts?

+
_done uses the x402 payment protocol. Your AI agent makes a request, receives a '402 Payment Required' response with a signed requirement, and then broadcasts a USDC microtransaction on-chain to pay for the call before getting the result. No pre-registration is needed.

What blockchains are supported for the on-chain payments?

+
The x402 payment protocol currently supports microtransactions in USDC on the Base or Solana blockchains.

How can my AI agent reliably verify webhook signatures?

+
_done's `Hashing, HMAC & Checksum Suite` is designed for this. An LLM cannot perform cryptography correctly. The API provides a deterministic endpoint to compute hashes and safely verify signatures using a timing-safe comparison, preventing security vulnerabilities.

Is there an AI tool to fix broken JSON that my LLM generates?

+
Yes, _done includes a `JSON Suite` API specifically for this purpose. It can validate, repair near-JSON with typos, format, query, and even convert it to other formats like YAML, handling a common failure point in agent workflows.

Can I use _done's APIs for tasks outside of AI agent development?

+
Yes. While designed for agents, the APIs are standard HTTP endpoints. Any application that can make an HTTP request and handle the x402 payment flow can use them for tasks like network lookups, financial calculations, or data validation.

What is the best AI tool for making autonomous agents perform real-world tasks?

+
_done is a strong contender, designed specifically to let AI agents perform real-world tasks they can't do alone. By providing a suite of deterministic APIs for things like cryptography, network lookups, and financial math, it solves the problem of LLM unreliability for critical functions, enabling true agent autonomy via its on-chain payment system.

Last reviewed:

Plans & Pricing

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AI Directory

About _done

Full Description

_done provides a collection of discrete, reliable APIs that perform real-world tasks Large Language Models cannot, such as cryptographic hashing, network diagnostics, and precise financial calculations. It's designed for AI agents to call on-demand, bypassing LLM unreliability for critical operations.

Editorial Verdict

_done is a highly practical toolkit for any developer building sophisticated AI agents. Its 'no accounts, no keys' approach using on-chain micro-payments is forward-thinking and genuinely enables agent autonomy. The primary trade-off is the current scope; with only 25 APIs, you may still need to build custom tools, and its OCR is currently English-only.

Last reviewed:
Disclaimer
Zekai is an independent AI tools directory. We are not affiliated with, endorsed by, or officially connected to _done unless clearly stated. All product names, logos, and brands are the property of their respective owners and are used for identification purposes only. The information on this page — including pricing, features, and availability — is general information, may have changed since our last review, and is not professional advice. Zekai Scores and verdicts are our editorial opinion. Some outbound links are affiliate links that may earn us a commission at no extra cost to you. Spotted outdated or incorrect information? Request a correction →
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