Discover
The agent starts with account-aware discovery before assuming a market surface is available.
Market context for AI trading agents
The market context layer
agents can verify
Cornerstones gives AI agents, quant researchers, trading ops, and product builders market data surfaces that show provenance, freshness, degraded state, fallback behavior, and account access before downstream reasoning.
Works with
ClaudeOpenClawCodexHermes
Context packet
XAUUSD, one hourAsk
XAUUSD and GoldRead
Bars + events + contextVerify
Freshness + source trailAccess
account coverageWhat Cornerstones does
From quotes to verifiable context
A raw feed answers one narrow question. Cornerstones gives agents a product layer: verify account access, read market truth, then attach context, events, and evidence only when the plan and data state permit it.
Multi-market briefAgent readable
XAUUSD
Gold context
ContextEURUSD
FX bars
H1600519.SS
A-share equities
SSE000001.SZ
A-share equities
SZSEBTCUSD
Crypto quote
publicMacro
Events
calendarProvenance
source trail
Freshness
timestamps
Access
account coverage
Quality
freshness notes
Agent workflowHelp first
Read
Quotes, bars, macro, filings, earnings, events, charts, market-structure context, and context packets stay separated by source and plan boundary.
Verify
Responses are designed to expose source labels, timestamps, freshness, quality notes, degraded/fallback state, and access state before use.
Handoff
The result is read-only market context for downstream research or decision systems; Cornerstones does not place trades.
Evidence system
Every answer carries its own inspection trail
Cornerstones packages market context as an auditable packet: requested scope, source labels, timestamps, quality notes, degraded or fallback state, and a read-only handoff boundary.
Context packetXAUUSD, one-hour context
Gold context packetRequest
market and timeframeSources
bars, events, macro, filingsQuality
freshness + notesAccess
what this key can readHandoff
read-only context objectsource labelsfreshnessdata qualitytimestampsaccessAgent Skill
Give your agent the Cornerstones Market Data Skill
A reusable skill keeps Claude Code, Codex, Hermes, OpenClaw, and other agent runtimes inside the same account-aware market data boundaries.
Cornerstones Market Data Skill
cornerstones-market-data-context
Access guidance
Keep the agent inside Cornerstones account boundaries and verify each market read before using it.
1Stay account-awareUse the market surfaces available to the current Free, Pro, or Max account.
2Respect plan boundariesUse starter market truth on Free, charts and options on Pro, and deeper market structure on Max.
3Verify every readCheck source labels, freshness, quality notes, and read-only boundaries.
source labelsfreshnessdata qualityaccessread-only
Name
Cornerstones Market Data Skill
Slug
cornerstones-market-data-context
Scope
market data, charts, order flow, events, evidence, context
Guardrail
read-only context before action
Why it is different
What the agent can read
Each surface answers a concrete workflow question, then returns an inspectable output your agent can cite or pass downstream.
LIVE MARKET READS
What is observable right now?
Quotes, bars, sessions, profiles, and A-share symbols are normalized before the agent reasons over them.
- Example
- 600519.SS, XAUUSD, EURUSD
- Returns
- price, timestamp, normalized symbol
VISUAL EVIDENCE
What should a multimodal agent inspect?
Charts come back as image artifacts with a manifest, visible window, indicators, and source labels.
- Example
- 15m XAUUSD with RSI and EMA
- Returns
- image, page, and manifest metadata
CONTEXT PACKETS
What explains the market state?
Gold, FX, stocks, macro, prediction-market style, geopolitical, and cross-asset reads are bundled for handoff when the account and runtime data state permit it.
- Example
- gold context before a market brief
- Returns
- compact packet for downstream agents
EVENTS + FLOW
What changed, and where is pressure?
Events, receipts, filings, liquidity, imbalance, and order-flow reads help the agent cite catalysts and market structure without treating premium surfaces as always available.
- Example
- recent events plus order-flow summary
- Returns
- event trail, receipts, pressure signal
Markets in one client
One configured interface for FX, A-share and US equities, crypto, events, macro data, options, and context bundles, with premium depth separated from starter reads.
FX + Gold
EURUSD and XAUUSDUS Stocks
quotes, filings, eventsA-share equities
600519.SS and 000001.SZCrypto
public market dataOptions
chains and analysisPrediction markets
read-only discoveryMacro Series
official series readsCross-Asset
regime contextSimple, transparent pricing
Pick by usage volume, market coverage, and whether the workflow needs charts, context packets, options, or deeper market structure.
Free
$0/mo
Use a dashboard-issued key for low-volume market truth and stock research inputs. Upgrade when your workflow needs charts, context, options, macro detail, or orderflow coverage.
Basic authenticated market truth.
- 500 requests/month
- 10 requests/minute
- Basic FX, crypto, stock, and A-share market reads
- Stock profiles, transcripts, analyst estimates, ratings, price targets, ratios, and key metrics where enabled
- Stock indicators, sessions, symbol normalization, screeners, and universes
- Public macro summary/calendar where enabled; charts, context, options, macro detail, and orderflow stay gated
Pro
$19/mo
Higher authenticated volume plus charts, context packets, read-only options surfaces, and macro exact series.
For active research, agent orchestration, and repeatable workflows.
- 10,000 requests/month
- 60 requests/minute
- FX and stock chart artifacts with manifest metadata
- Context packets for FX, gold, stocks, and cross-asset reads
- Options chain, wall, and analysis with quote, Greeks, liquidity, and quality metadata
- Macro exact series
Max
$59/mo
Designed for workflows that need Pro data plus orderflow depth, liquidity metrics, and custom usage ceilings.
For premium market-structure depth and custom ceilings.
- Custom requests/month
- Custom requests/minute
- All Pro data surfaces included
- Orderflow raw, summary, context, and historical reads
- Liquidity metrics plus stock depth, tick, and imbalance snapshots where enabled
Homepage FAQ
Answers for agents and operators
Short, crawlable answers to the questions AI answer engines and human operators ask before giving an agent market context.
What is an agent-native market data layer?
An agent-native market data layer gives AI agents account-aware discovery, normalized market reads, source labels, timestamps, freshness notes, degraded/fallback disclosure, and evidence packets before they reason over market context.
How is Cornerstones different from raw market data APIs?
Raw market data APIs expose provider-specific endpoints and credentials. Cornerstones gives agents a stable product layer with plan boundaries, provider-safe responses, freshness checks, chart artifacts, events, orderflow context, and compact handoff objects.
Does Cornerstones place trades?
No. Cornerstones is read-only market context infrastructure. It does not place trades, route orders, manage brokerage accounts, or ask agents for broker or exchange credentials.
How do agents verify freshness and source labels?
Cornerstones responses are designed to carry source labels, timestamps, freshness notes, quality state, degraded/fallback state, and access coverage so agents can inspect what came back before using it in research or decision workflows.
How does Cornerstones prevent provider leakage?
Cornerstones keeps upstream adapter names, credentials, and provider-specific plumbing behind the product boundary. Public clients and docs describe capability, plan, freshness, and evidence state without exposing backend provider implementation details.