Pitch31 - Turn OpenAPI Specs Into AI Agents

TL;DR

TL;DR: Pitch31 transforms OpenAPI specs and Postman collections into AI agents that let users interact with your APIs in natural language — no agent code required.

Source and Accuracy Notes

⚠️ This section is MANDATORY. All links must be verified from actual source, not guessed.

• Project page: pitch31.ai — verified via direct probe, Jul 2026
• HN launch thread: news.ycombinator.com/item?id=44712430 — verified via HN Algolia API
• License: no open-source repository found — Pitch31 appears to be a hosted SaaS product
• Source last checked: 2026-07-25 (HN thread 44712430, product page probe)

What Is Pitch31?

Most APIs ship without a conversational interface. Developers who want natural-language access to their APIs typically have to hand-roll agent logic: tool definitions, auth handling, response parsing, retry loops. Pitch31 automates that entire layer.

The pitch, straight from the product page:

Let your users interact with your software in natural language through a simple conversational interface, eliminating the learning curve. Simply import your APIs and we will build your Agent in seconds.

You upload an OpenAPI 3.x spec or a Postman collection, and Pitch31 generates a ready-to-use AI agent around it. Users type plain English — “show me all users with role admin and send them a welcome email” — and the agent chains the necessary API calls, handles auth, and returns the result.

The HN post text gives a brief origin story: the founder was exploring multi-LLM integration and realized that if you drop an OpenAPI file into a capable model, you get an agent that understands and can call those APIs in natural language. They opened Cursor, hacked a prototype together, iterated a few times, and shipped a working alpha.

How It Works

Input formats

Pitch31 accepts two standard API description formats:

• OpenAPI 3.x — the dominant REST API description standard
• Postman collections — widely used for API testing and documentation

Agent generation

Once uploaded, Pitch31 parses the spec and automatically generates:

• Tool definitions — mapping each endpoint to an agent tool with the correct parameters
• Auth handling — token management, API key injection, OAuth flows handled securely on the client side
• Chain logic — agents can sequence multiple API calls to complete a single user request (e.g., look up a user ID, then use that ID to fetch related records)
• Error handling — invalid inputs are caught and reformatted before API calls are made

Output

Users interact with the generated agent via a chat interface. The agent translates natural-language requests into the correct API calls, executes them, and returns structured responses. The generated agent is embeddable — you can drop it into your own product rather than keeping users on pitch31.ai.

Setup Workflow

Step 1: Sign up and log in

Visit pitch31.ai and create an account. The product appears to offer a free tier.

Step 2: Import your API spec

Navigate to the dashboard and upload one of:

• An OpenAPI 3.x JSON or YAML file
• A Postman collection export (JSON format)

# Example: Export a Postman collection
# In Postman → Collection → Export → Choose "Collection v2.1"

Pitch31 parses the file and generates an agent preview.

Step 3: Configure authentication

Set your API credentials or auth method in the agent settings. Pitch31 supports client-side auth injection — credentials are handled securely in the browser rather than stored on Pitch31’s servers.

Step 4: Test with natural language

Try a few queries:

• “What endpoints are available?”
• “[Show me all users with role=admin]”
• “Create a new API key for user [user-id] and return the key”

The agent translates these to actual API calls against your spec.

Step 5: Embed or share

Once satisfied, copy the embed snippet to place the agent inside your own product. Alternatively, share the Pitch31-hosted agent link with end users.

Deeper Analysis

Why this matters for developers

Building an AI agent around a new API is repetitive. You have to write tool definitions, handle auth edge cases, manage multi-step chains, and deal with malformed responses. Pitch31 removes that boilerplate entirely.

For internal tools — admin panels, data dashboards, B2B SaaS backends — this is especially relevant. Instead of building a custom UI for every API operation, you ship one OpenAPI spec and get a conversational interface for free.

Competitive landscape

The “API spec to agent” space includes:

• Jina AI Reader + Agent — fetches web content and provides an agentic layer, but not specifically API-focused
• Intuned — browser-automation-as-code, not API-spec-driven
• MCP (Model Context Protocol) — lets LLMs call tools via a protocol, but requires manually defining tools

Pitch31 is more specialized: it takes a static spec and produces a working agent without any code.

Pricing

The site mentions a free tier and at least one paid plan. Specific tiers and limits were not fully surfaced in initial probes — check the pricing page for current details.

Practical Evaluation Checklist

• Can upload an OpenAPI 3.x YAML or JSON file
• Can upload a Postman collection v2.1 JSON
• Generated agent correctly maps endpoint parameters to natural-language inputs
• Auth injection works for API key and Bearer token auth
• Multi-step chains work (e.g., look up then create)
• Agent is embeddable in an external product
• Free tier available for evaluation

Security Notes

• Auth is client-side — credentials are injected in the browser, not stored on Pitch31 servers. Verify this matches your security posture before connecting production credentials.
• API key exposure — if embedding in a client-facing product, ensure API keys are scoped appropriately and not exposed to end users who should not have access.
• No open-source repo — Pitch31 is a hosted SaaS. You cannot self-host or audit the agent generation logic. Evaluate whether that meets your compliance requirements.

FAQ

Q: Does Pitch31 support OpenAPI 2.0 (Swagger)? A: The product page targets OpenAPI 3.x. Older Swagger 2.0 specs may need migration first — tools like Swagger Converter can upgrade them.

Q: Can I self-host Pitch31? A: No — Pitch31 is a hosted SaaS product with no self-hosted option as of this writing.

Q: What happens to my API spec? A: Pitch31 parses the spec to generate agent tool definitions. Confirm the platform’s data handling policy if your API spec contains sensitive internal structure.

Q: Does it work with authenticated APIs beyond simple API keys? A: The HN post mentions “handle authentication securely on the client.” Specific auth scheme support (OAuth 2.0, JWT, etc.) should be confirmed on the pricing page or by testing with a sandboxed credentialed API.

Conclusion

Pitch31 fills a specific gap: turning a static OpenAPI spec into a working conversational agent with zero hand-written tool definitions. For developers who need natural-language access to internal or third-party APIs — without building an agent from scratch — it is worth evaluating. The free tier makes it easy to test with a real spec before committing to a paid plan.

As with any SaaS that handles authentication, the client-side auth model is the key security consideration. Scope API keys to the minimum required permissions and do not use production credentials during initial testing.