Trading & Fintech

Signal decays in seconds. Your data pipeline shouldn't cost you three of them.

Live prices, filings, technical indicators and market news across crypto, equities, forex and commodities, pre-ingested, validated and ranked, so your model acts on the move instead of reading about it after.

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Why it works

What you get from the layer

Fresh enough to trade on

A ten-minute global ingestion cycle with live price and technical analysis means your model reads current market state, not a cached snapshot from the last time someone crawled.

Validated before it's served

Market data acted on blindly is a liability. Quorum validation catches the single bad source before it reaches your model and becomes a position.

One feed instead of six vendors

Prices, filings, technicals and social market signal arrive through one endpoint, replacing a stack of separate market data subscriptions each with its own schema and rate limit.

<50ms
Ranked retrieval
5
Asset classes covered
10 min
Ingestion cycle
Use cases

Where teams put it to work

Trading agents and copilots

Feed autonomous strategies validated live prices and trend signals without building a market data ingestion layer.

Spike and anomaly detection

Temporal trend detection surfaces unusual movement as it develops, rather than after it's already priced in.

Research and analyst assistants

Query filings history, company news and market context semantically instead of maintaining scrapers per source.

Risk and compliance monitoring

Watch news and event flow for exposure to entities in your book, continuously.

Retail fintech products

Give consumer apps current market context without licensing six separate data feeds.

Capabilities

What the endpoint gives you

  • Multi-asset coverage

    Indices, equities, commodities, forex, crypto

  • Live price and technical analysis

    Refreshed on the global cycle

  • Company filing history

    Semantically searchable

  • Social market signal

    Including market-relevant social flow

  • Temporal trend and spike detection

    Movement surfaced as it forms

  • Quorum validation

    Consensus before a fact is served

  • Sub-second reranked retrieval
Built on
Universal KnowledgeGlobal Memory GraphUnified LLM API
FAQ

Questions teams ask first

Is this a replacement for a market data terminal?
No. Incord serves AI models, not human traders. It's the layer that lets your agent reason over current market state, alongside rather than instead of your execution and terminal stack.
How fresh is price data?
Live pricing refreshes on the global ingestion cycle. For strategies where sub-second tick data is the requirement, pair Incord with a direct feed, Incord's role is validated context and signal, not tick-level execution data.
What does quorum validation mean in practice?
A fact is confirmed across sources before being served, so one erroneous or manipulated source doesn't propagate into your model's reasoning.
Which asset classes are covered?
Global indices, equities, commodities, forex and crypto, plus company filings and market news.
Can we self-host for compliance reasons?
Yes, self-hosted and private deployment is supported, relevant for firms that can't route data through third-party infrastructure.
Is historical data available for backtesting?
Ingested history is queryable. Confirm depth per asset class with the team before you design a backtest around it.
Start

One Endpoint. Every Use Case.

Start free, then pay for what you use.

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