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FactIQ

a realtime econ+finance database for AI agents

Details

External ID
48826422
Source
HN
Company
—
Product
FactIQ
Website domain
github.com
Launched
July 8, 2026
Cohort
—
Upvotes
7
Upvotes percentile
0.3972520908004779
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

Hey HN, we built an Econ+Finance database to let AI agents do investment research. We spend a lot of tokens to organize macro releases and SEC filings into a clean format, so that your agents have more context to do actual analysis.The problemAI agents are great at data analysis. But they become ineffective if most of their context window is spent on gathering and cleaning data, instead of validating hypotheses.Data in the wild is messy and rarely standardized. Definitions and measurements change over time. This problem is compounded by a fragmented data universe. Point solutions exist for getting just market data, just macro data, or just trade data. But unless you pay $30k/person/year for a Bloomberg terminal - you’re not getting that data inside your AI agent.How we're fixing thisWe source, clean, and standardize data from SEC filings, official economic series and macro-economic releases. We structure the data so it’s stupidly obvious to query for any agent. All data is stored in just 3 tables with identical schemas and a total of just 20 columns. We keep the metadata like units, methodology and coverage fresh.We're launching today with plugins for Claude Code and Codex. The plugin is open source, so you can adapt it to other agents.So far we have over 25M+ series including macro and detailed bilateral trade series from 8 countries, US equity prices and fundamentals, and much more.We’re adding new data every day - with structured insights from satellite imagery, investor calls and company leadership interviews coming soon.Our askIf you go deep into company fundamentals or sectors, and use AI agents in your investment decisions, we’d love to chat. Please drop us feedback below or at [email protected]!

Enrichment

Theme
algorithmic trading bots and platforms
Vertical
Fintech
Function
Data infrastructure
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
realtime economic and finance data for ai agents
Manually corrected
False

Could you build this?

Partial The database interface and agent querying API are simple, but building and maintaining reliable real-time pipelines that ingest, parse, and normalize messy SEC filings and macroeconomic feeds is a major data engineering effort.

What it would actually take: A production system requires automated scraping and streaming ingestion workers connected to SEC EDGAR (XBRL parsing) and macro data providers (e.g., FRED, BLS). The difficult parts are robustly handling varied XBRL schemas, continuous table extraction from unstructured filings, entity resolution across reporting entities, and real-time validation pipelines to avoid feeding hallucinations to financial agents. This requires substantial financial data domain knowledge and continuous ETL pipeline infrastructure.

Discussion

2 comments analyzed.

Competitors mentioned: Robinhood MCP server

Concerns raised: Uncertainty about correct pricing strategy, Limited historical data depth (only 10 years in most cases)

Feature requests: Earnings transcript insights, Leadership podcast analysis, Bespoke KPIs from 10-Qs, Satellite imagery insights

Competitors

Other products that read as similar to this one — 362 launches clear the similarity bar, closest 8 shown.

Attention rank: #200 of 363 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 247 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a data infrastructure tool for Media & entertainment yet.