
Market Data, Economics & News API - Sugra
API providing market data, economics, commodities, climate, and news in LLM-ready JSON.
@SugraSystems · X
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API providing market data, economics, commodities, climate, and news in LLM-ready JSON.
@SugraSystems · X

Detect AI-written text, fact-check citations, and verify documents haven't been tampered with.
@SketchJar · X
Stipple helps you verify a document is real, instead of just guessing if AI made it.

Validates scientific claims in manuscripts against their cited evidence and suggests corrections.
@CiteWiseAi · X
We built our platform to protect the integrity of research papers. We don’t only validate citations. But also if the citation actually supports what you’re saying.

API platform providing company and people data for AI agents and business platforms.
@zeynepavann · X
Thank you to everyone who joined our "map your TAM from the terminal" session with last week. We built live in the terminal using Claude Code and the MCP. I wrote up the whole thing afterwards. The seven stages, why each one exists, what to do with the list once you have it, and the outreach half we covered at the end. The recording is linked inside. The skill is public too, so you can run it on your closed-won book. You bring your own accounts; the engine does the expansion, scoring, and contact-finding. Comment "TAM" and I'll send you both skill and guide.

Give AI agents persistent memory and evidence-based grounding to prevent false claims.
felipemayamuniz · HN
AletheionAGI – Grounding enforcement for AI agents

Access Reddit data via API with free credits for building AI agents.
@thread_snoop · X
Give you claude/codex free access to search through reddit :)

Refine ideas through logical reasoning and publish them to a community of verified knowledge.
samcymbaluk · HN
Axiom toolkit – Make your ideas precise enough to be proven wrong

API to extract data from 44 social media platforms through a unified interface.
u/dooddyman · Reddit
I launched 2 SaaS. First failed brutally. Second hit $5k MRR in 3 months. What worked and didn't. tldr: My first AI SaaS failed because I built blindly, outsourced marketing, and had no clear ICP. My second product hit $5k/mo in 3 months because I built an audience first, obsessed over SEO and distribution, and targeted a specific niche. I launched my first AI SaaS last year, kept it alive for about a year now. It's making less than $50 mrr and i'm thinking of closing it. Here's what went

Check your papers for AI content and plagiarism before submitting to Turnitin.
PaperCheck — 论文提交前自查工具,提供 Turnitin 查重 + AI 写作检测报告,帮助学生在正式提交前发现问题

Verify payment endpoints for AI agents with security checks and drift monitoring.
miaq_low · Product Hunt
AgentMint Verify Verify agent payment endpoints before your AI spends

Validate, fix, and convert JSON and XML; monitor API response changes.
@SupportFixzi · X
Building an API monitoring tools which allows you to know when your AI breaks, before your users do. It has an API monitoring tool and an AI schema validator in it. This is a solution that can ensure your customers trust your app.

Single API key for accessing OpenAI, Claude, Gemini and other AI models.
@lologfts · X
built Apiarium, with one api key you can choose multiple Ai models, easy integration