"Build vs. buy" for financial data usually gets decided on price. It should get decided on engineering time.
We wrote up what that tradeoff actually looks like for fintech teams.
Read our blog at: https://t.co/HeK7JF5g8D
#fintech#API#startups
We built OptionsEdge: real-time IV, delta, gamma, theta & vega, without the exchange-agreement overhead of legacy feeds.
See it in action today → https://t.co/0WJC5XLlEP
#fintech#options
Institutional-grade data used to mean sales calls and contracts. We flipped that: sign up, grab your API key, and start building today.
Start your free trial today → https://t.co/xRsc7jcawo
#fintech#API
Now available to your LLM via MCP:
• Stock Prices
• Options
• Fundamentals
• Estimates
• ETFs & Funds
• Indices & Events
Institutional-grade. Real-time. AI-ready.
→ https://t.co/tsjV87vkTD
#fintech#API
"Pull last 4 quarters of revenue & EPS for NVDA, MSFT, AMD — which has the cleanest beat-and-raise?"
Now you just ask, inside Claude or Cursor. Intrinio answers with real institutional fundamentals.
→ https://t.co/tsjV87vkTD
#AI#quant
Which builder are you?
• Solo dev → Individual, $150/mo
• Team scaling up → Startup, $333/mo
• Institution → Enterprise, custom
3 plans. 2 need no sales call. All institutional-grade.
→ https://t.co/LBIoUhOx8Z
#fintech#API
Model's ready. Architecture's clean. Then you hit the financial data.
Intrinio Startup: normalized, AI-ready data in <2 min. No discovery call, no contract.
Ship the product, not the procurement.
→ https://t.co/NVctWfXpTs
#startups#buildinpublic
Intrinio is now an MCP server.
Connect Claude, ChatGPT, or Cursor straight to institutional-grade financial data — real time, no data wrangling.
→ https://t.co/tsjV87vkTD
#fintech#AI
The Individual plan isn't a lite version.
Same pipeline. Same normalization. Same infrastructure the biggest names in finance run on.
Scope-limited, not quality-limited. $150/mo.
→ https://t.co/6JJpAy36KU
#fintech#quant
Transparent pricing. SDKs for Python, Ruby & JS. Sandbox in minutes.
Intrinio Startup ($333/mo) starts small and scales — upgrade to Enterprise with no re-platforming.
→ https://t.co/NVctWfXpTs
#startups#API
Real-time market data without the exchange-fee paperwork.
OptionsEdge + EquitiesEdge give solo devs real-time options & equities pricing — starting at $150/mo.
Real-time is now a Tuesday decision.
→ https://t.co/6JJpAy36KU
#fintech#optionstrading
Enterprise on the new Intrinio = fully curated.
Any feed in our catalog. Custom SLAs. Dedicated servers. Your delivery method. Concierge support.
Your data layer, your terms.
→ https://t.co/usv1Tovnx2
#fintech#enterprise
Startups shouldn't wait weeks on a data vendor contract.
Intrinio Startup: $333/mo, data access in <2 min, SDKs + sandbox, scales to Enterprise when you're ready.
Prototype → production, no procurement.
→ https://t.co/NVctWfXpTs
#startups#fintech
Most platforms give individual devs a watered-down feed.
We give you the same institutional pipeline our biggest customers run on — for $150/mo.
Equities, options, fundamentals + real-time data. API key in seconds.
→ https://t.co/6JJpAy36KU
#fintech#API
The new Intrinio is live.
Three ways in:
• Individual — $150/mo
• Startup — $333/mo
• Enterprise — custom
Institutional-grade financial data, now open to everyone.
→ https://t.co/LBIoUhOx8Z
#fintech#API
Building an AI product that touches financial data?
It deserves a trusted data layer underneath it.
Normalized feeds. Real-time pricing. An MCP server your LLM can query directly. Data in <2 min.
→ https://t.co/LBIoUhOx8Z
#AI#FinTech
For years, the best financial data sat behind sales calls and enterprise contracts.
Today that door is open — institutional-grade data shouldn't require an enterprise contract, so we opened it to everyone.
— Rachel Carpenter, Co-founder & CEO, Intrinio
We rebuilt the Intrinio account page.
API keys, billing, docs, quick starts, support, contracts — all in one place, redesigned around what you actually need.
Less hunting, more building.
#FinTech
Enterprise on the new Intrinio = fully curated.
Any feed in our catalog. Custom SLAs. Dedicated servers. Your delivery method. A dedicated team.
Your stack, your terms. → https://t.co/usv1Tovnx2
#FinTech