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_done — AI for Software Development

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 forAI for Developers
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
6.3 Zekai
Deterministic APIs for Agents
AI for Software Development
Ease of Use
6.4
Accuracy
7.2
Value
6.4
Time Saving
5.2
On-Chain PaymentsNo API KeysDeterministic ResultsAgent-Ready APIsPay-Per-Use
📊 Independently reviewed and scored. How we score →
✍️ Reviewed by Zekai Editorial Team · Updated August 7, 2026
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Zekai Verdict

What is it?
_done provides a collection of discrete, reliable APIs that perform real-world tasks Large Language Models cannot, such as cryptographic hashing, network…
Best for
It is best for developers building autonomous AI agents that need to interact with real-world data and perform…
Not ideal for
Limited API selection (25 live at time of review).
Price
$0.01/call
Zekai Score
6.3/10
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Hand-scored by Zekai

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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.
Rating6.3/10
📖 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
Prompt Templates

Try it with these prompts

Copy any prompt and paste it directly into the tool.

Check BIMI for email logo display

I need to check if my website's BIMI setup is correct so my logo appears in email inboxes. Please check the following website addresses: [List of website addresses]. Report any issues found.

Get US CPI data for inflation analysis

Please provide the latest US Consumer Price Index (CPI) data, including both overall and core inflation figures. If possible, also provide the data for [Specific month and year] for historical analysis.

Verify CORS permissions for an API

I am having trouble with cross-origin requests to my API. Please check the CORS permissions for the following URL and origin: URL: [Your API URL], Origin: [Your Origin Domain]. Report exactly which permissions are grante…

AI Prompts

Prompts for Developers

Prompt 01 Sample Prompt for AI App Prototyping
Generate a functional prototype for a mobile app called 'PlantPal'. It's for new plant owners. Key Screens: - **Onboarding:** A simple 3-step intro to the app's features. - **Login/Sign-up:** Email and password authentication. - **My Plants…
Prompt 02 Generate a Function Docstring
Analyze the following TypeScript function. Write a complete TSDoc comment for it. Explain what the function does, describe each parameter (including its type and purpose), and describe the return value. [[Paste your code here]]
Prompt 03 React Component Refactor with Context
I need to refactor a React component located at `src/components/OldProfile.tsx`. **Goal:** Create a new component `src/components/ProfileHeader.tsx` by extracting the header logic from `OldProfile.tsx`. **Context:** - The new `ProfileHead…
See all 29 AI prompts for Developers →
Social Proof

Trusted by professionals

Ease of Use
6.4
Accuracy
7.2
Value
6.4
Time Saving
5.2

"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
See Plans & Pricing →
Connects With

_done integrations

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.
Comparison

Best _done alternatives

The primary alternative to _done is building your own suite of microservices. The DIY approach offers complete control and customization over the functions your agent can perform. However, it requires significant development time, infrastructure costs for hosting and maintenance, and you must manage your own security and reliability. _done offers a faster, more scalable path; you get instant access to a library of professionally-built, deterministic tools with a simple pay-per-call model, but you are limited to the APIs they provide.

The decision

Is _done worth it?

Return on investment
By replacing the need to build, host, and maintain custom microservices, a development team can save dozens of engineering hours per month for a cost of just pennies per task.
Built for
AI developers, autonomous agent builders, and software engineers integrating LLMs into applications that require reliable, real-world data and computation.
Effort to adopt
Developer Tool
Compliance
Compliance posture not publicly documented — verify with vendor.
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.

See all 441 AI tools for Developers → Browse the AI Directory →
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

_done pricing and plans

Pro
$0.01
Pay-per-use model. Most APIs are priced at $0.01 per call, paid on demand via a USDC microtransaction on Base or Solana. No subscription or account required.
Start Pro Plan

Prices and features are updated regularly but can change at any time — always confirm on the official website. Some links on this page are affiliate links.

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Free guide

Take it with you

Getting Started with _done: Equipping Your First AI Agent
  • **Understand the Problem:** Why LLMs fail at deterministic tasks like math, crypto, and real-time lookups.
  • **The _done Solution:** A suite of specialized, reliable APIs for your agent.
  • **The x402 Protocol:** How on-chain micro-payments enable true agent autonomy without API keys.
  • **Key APIs:** Explore the Hashing Suite, JSON Repair, and Network Lookup tools.
  • **Wallet Setup:** Preparing an agent wallet on Base or Solana with USDC.
+4 more steps inside the guide
Send me the full guide

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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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