The all-in-one platform to design, document, manage, and observe your APIs. Built for the developers shipping them, the customers integrating them, and the agents now calling them at scale.
A quick note on why this launch matters to us personally.
When we started Theneo, we made one bet: AI was going to change how APIs get documented. We were right, but we underestimated the second half of that bet. AI didn't just change how docs get written. It changed who calls APIs in the first place.
Over the past 18 months, our customers have shown us things we couldn't have predicted. Fintechs watching agents hit their endpoints in ways no human ever would. Engineering teams spending weeks hand-rolling MCP servers that crash in production. PMs realizing their API catalog was last updated two years ago and nobody knows what half the endpoints do anymore.
Elva is what came out of those conversations.
A few things I'd love your honest take on:
Does the agent-readiness audit actually surface things you didn't know about your own APIs? (I'm hoping yes. Push back if no.)
The production-grade MCP claim is bold. Try it on a real repo and tell me where it breaks.
What's missing that would make you replace your current API client tomorrow?
I'll be in the comments all day. The harder the question, the better.
the api catalog audit is a smart angle.. most companies have no idea half their endpoints are outdated until something breaks in production. curious how theneo handles versioning tho, like when an api changes does it auto update the docs or does someone still need to trigger that manually
@tina_chhabraย yessss, that was one of my number one requirement for our latesst agent. It automatically updates the API catalog, APi testings, MCP, api doc, and changelog, also notifies all the stakeholders. And for those that have API contracts, it lets notify correct shareholders about the updates.
@thamibenjellounย Thank you! We built Theneo so that everyone on the team - whether technical or non-technical - can contribute without feeling lost. At the same time, we put a big emphasis on making the docs easy to read and navigate, not just for human users but also for AI agents.
Designing APIs for AI consumption is a very specific challenge. How does Theneo help with auto-generating documentation that agents can actually parse effectively?
@rivra_devย Great question, so while theneo does the auto generated api docs, Elva in this case helps with API management, where it will scan your repo, output api catalog, and outline how well they are designed for AI, what are the issues, what can be fixed quickly, and then after MCP is launched also gives you more insights how they are actually being used and how it can be improved.
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Claiming production-grade MCP (Model Context Protocol) servers is definitely a bold swing! Most of the ones Iโve seen are basically toy projects. How do you handle authentication and rate-limiting when spinning these up directly from a repo? @mariam_lekveishvili1
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As someone who deals with complex API integrations, the idea of an 'agent-readiness audit' is huge. Itโs one thing to have docs for humans, but another entirely to have them structured for an autonomous agent. Does Elva suggest specific schema improvements, or does it try to wrap the existing mess into a more 'consumable' MCP layer?
@vanshvardhan_sorteย Great question! Thanks for your comment. Elva does both - it doesn't just suggest schema improvements but also recommends broader API design improvements to make your APIs truly agent-ready.
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Hey Ana, congrats on shipping. The framing ... "it's not just how docs are written, it's who's reading them now" ... is the most interesting thing in this post. Most API doc tools are still optimizing for humans skimming on a Tuesday afternoon.
Two questions on the agent-readiness audit:
What does "agent-readable" actually mean in your audit? Is it stuff like consistent error shapes and idempotency hints, or are you scoring something fuzzier?
When an agent hits an endpoint "in ways no human ever would" ... what does that look like in practice? Curious whether it's pathological retry loops, weird param combinations, or something else entirely. Feels like a goldmine of edge cases nobody documents.
@its_maddy_aIt really is one of the hardest things, especially in the early stages. Iโd be happy to help you out with this one! We can definitely chat through your setup and see what would work best for you
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API docs are one of those things that age badly โ great at launch, three major updates later and half the examples are stale. We hit this constantly at our IT services company managing integrations for clients. The "for humans and agents" angle is what caught my eye. Curious how Theneo handles the AI agent use case specifically โ are you generating structured output optimized for tool-calling (OpenAPI/JSON Schema), or is it more about natural language API discovery? The two feel very different to optimize for and I haven't seen many platforms nail both.
Replies
Theneo
Hey Product Hunt ๐
Ana here, co-founder of Theneo.
A quick note on why this launch matters to us personally.
When we started Theneo, we made one bet: AI was going to change how APIs get documented. We were right, but we underestimated the second half of that bet. AI didn't just change how docs get written. It changed who calls APIs in the first place.
Over the past 18 months, our customers have shown us things we couldn't have predicted. Fintechs watching agents hit their endpoints in ways no human ever would. Engineering teams spending weeks hand-rolling MCP servers that crash in production. PMs realizing their API catalog was last updated two years ago and nobody knows what half the endpoints do anymore.
Elva is what came out of those conversations.
A few things I'd love your honest take on:
Does the agent-readiness audit actually surface things you didn't know about your own APIs? (I'm hoping yes. Push back if no.)
The production-grade MCP claim is bold. Try it on a real repo and tell me where it breaks.
What's missing that would make you replace your current API client tomorrow?
I'll be in the comments all day. The harder the question, the better.
bunny.net
@ana_robakidzeย congrats on the launch!
Theneo
@marek_nalikowskiย thanks
the api catalog audit is a smart angle.. most companies have no idea half their endpoints are outdated until something breaks in production. curious how theneo handles versioning tho, like when an api changes does it auto update the docs or does someone still need to trigger that manually
Theneo
@tina_chhabraย yessss, that was one of my number one requirement for our latesst agent. It automatically updates the API catalog, APi testings, MCP, api doc, and changelog, also notifies all the stakeholders. And for those that have API contracts, it lets notify correct shareholders about the updates.
Mailwarm
A lot of API tools feel overwhelming unless youโre technical, so I like the focus on making API management easier for both builders and users
Theneo
@thamibenjellounย Thank you! We built Theneo so that everyone on the team - whether technical or non-technical - can contribute without feeling lost. At the same time, we put a big emphasis on making the docs easy to read and navigate, not just for human users but also for AI agents.
Tabstack by Mozilla
Theneo
@tessak22ย Thank you so much for your support!
Designing APIs for AI consumption is a very specific challenge. How does Theneo help with auto-generating documentation that agents can actually parse effectively?
Theneo
@rivra_devย Great question, so while theneo does the auto generated api docs, Elva in this case helps with API management, where it will scan your repo, output api catalog, and outline how well they are designed for AI, what are the issues, what can be fixed quickly, and then after MCP is launched also gives you more insights how they are actually being used and how it can be improved.
Claiming production-grade MCP (Model Context Protocol) servers is definitely a bold swing! Most of the ones Iโve seen are basically toy projects. How do you handle authentication and rate-limiting when spinning these up directly from a repo? @mariam_lekveishvili1
As someone who deals with complex API integrations, the idea of an 'agent-readiness audit' is huge. Itโs one thing to have docs for humans, but another entirely to have them structured for an autonomous agent. Does Elva suggest specific schema improvements, or does it try to wrap the existing mess into a more 'consumable' MCP layer?
Theneo
@vanshvardhan_sorteย Great question! Thanks for your comment. Elva does both - it doesn't just suggest schema improvements but also recommends broader API design improvements to make your APIs truly agent-ready.
Hey Ana, congrats on shipping. The framing ... "it's not just how docs are written, it's who's reading them now" ... is the most interesting thing in this post. Most API doc tools are still optimizing for humans skimming on a Tuesday afternoon.
Two questions on the agent-readiness audit:
What does "agent-readable" actually mean in your audit? Is it stuff like consistent error shapes and idempotency hints, or are you scoring something fuzzier?
When an agent hits an endpoint "in ways no human ever would" ... what does that look like in practice? Curious whether it's pathological retry loops, weird param combinations, or something else entirely. Feels like a goldmine of edge cases nobody documents.
Good luck with the launch! ๐
ZeroGPU
I love the API catalog audit feature. When you are an early stage startup this is one of the hardest thing!
Do you offer that as a standalone product in itself. :)
Theneo
@its_maddy_aIt really is one of the hardest things, especially in the early stages.
Iโd be happy to help you out with this one! We can definitely chat through your setup and see what would work best for you
API docs are one of those things that age badly โ great at launch, three major updates later and half the examples are stale. We hit this constantly at our IT services company managing integrations for clients. The "for humans and agents" angle is what caught my eye. Curious how Theneo handles the AI agent use case specifically โ are you generating structured output optimized for tool-calling (OpenAPI/JSON Schema), or is it more about natural language API discovery? The two feel very different to optimize for and I haven't seen many platforms nail both.