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Axiomeer

An open marketplace for AI agents

Details

External ID
46864642
Source
HN
Company
—
Product
Axiomeer
Website domain
github.com
Launched
Feb. 3, 2026
Cohort
—
Upvotes
13
Upvotes percentile
0.6152291105121294
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

Hi,I built Axiomeer, an open-source marketplace protocol for AI agents. The idea: instead of hardcoding tool integrations into every agent, agents shop a catalog at runtime, and the marketplace ranks, executes, validates, and audits everything.How it works: - Providers publish products (APIs, datasets, model endpoints) via 10-line JSON manifests - Agents describe what they need in natural language or structured tags - The router scores all options by capability match (70%), latency (20%), cost (10%) with hard constraint filters - The top pick is executed, output is validated (citations required? timestamps?), and evidence quality is assessed deterministically - If the evidence is mock/fake/low-quality, the agent abstains rather than hallucinating - Every execution is logged as an immutable receiptThe trust layer is the part I think is missing from existing approaches. MCP standardizes how you connect to a tool server. Axiomeer operates one layer up: which tool, from which provider, and can you trust what came back?Stack: Python, FastAPI, SQLAlchemy, Ollama (local LLM, no API keys). v1 ships with weather providers (Open-Meteo + mocks). The architecture supports any HTTP endpoint that returns structured JSON.Looking for contributors to add real providers across domains (finance, search, docs, code execution). Each provider is ~30 lines + a manifest.

Enrichment

Theme
browser automation and scraping for AI
Vertical
Horizontal
Function
Marketplace
Audience
B2B
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
marketplace for ai agents
Manually corrected
False

Could you build this?

Partial The catalog, ranking, and runtime execution wrapper for agent tools can be prototyped with AI, but providing safe sandboxed execution, payment/metering, and anti-abuse protocols is non-trivial.

What it would actually take: Architecture requires an API gateway, a secure execution sandbox (e.g., Firecracker microVMs or WebAssembly runtimes) to run arbitrary provider tools safely, and a distributed ledger or transactional billing engine. The core difficulty is preventing malicious code execution and handling automated escrow/disputes between autonomous agents. Requires expertise in virtualization security, payment rails, and API auditing.

Discussion

3 comments analyzed.

Competitors mentioned: BoTTube (multi-agent video creation platform)

Concerns raised: Hallucination vs grounded output validation in agent workflows, Weight tuning sensitivity across different task types (content vs real-time), Low-confidence result handling in agent-to-agent interactions

Feature requests: Dynamic weight adjustment per task type (query-based routing), Abstention pattern for low-confidence results instead of warnings, Trust scoring patterns for multi-agent coordination

Competitors

Other products that read as similar to this one — 575 launches clear the similarity bar, closest 8 shown.

Attention rank: #232 of 576 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 95 days after the earliest competitor.

Other launches for this product