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Cited Indian equities intelligence for teams that need answers they can defend.
Screen companies, explain market moves, monitor fresh signals, and package research with source evidence attached. Deliver the same intelligence as APIs, dashboards, widgets, briefs, or operator workflows.
Move from broad market curiosity to a company, sector, or signal view with evidence already organized.
Use structured outputs for APIs, widgets, dashboards, and decision-ready product experiences.
Raw provider files stay local; customers receive processed, cited, freshness-aware outputs.
Ask which product fits your workflow, what evidence appears in the output, and how quickly your team can use it.
Ask something like: "Which product helps me monitor fresh signals across Indian equities?"
Cerebral assistant • product fit and cited evidenceStart with the job your team is trying to complete: screen companies, monitor signals, enrich a product, prepare research, or package evidence-backed workflows.
Start with cited product discovery, then upgrade for API, widget, MCP, and operator workflows. Raw upstream payloads are not redistributed.
Explore product surfaces and cited sample research.
Build app and research workflows on service-ready payloads.
Run agent-ready workflows and custom delivery surfaces.
Access your equities intelligence dashboard.
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Market command center
Cerebral turns processed Indian equities data into cited research, screeners, portfolio context, and decision-ready intelligence.
| Company | Move | Price | Validation | |
|---|---|---|---|---|
| Loading movers. | ||||
Proactive intelligence
Watchlist changes, screener deltas, stale evidence, peer moves, and portfolio risk notes are routed here.
Workflow launchpad
Choose a workflow by the job you need done. Cerebral routes the request to cited data, company context, freshness checks, and non-advisory outputs.
Platform docs
Cerebral is an AI-first Indian equities intelligence workspace. It uses processed market payloads, retrieval documents, freshness metadata, and source citations to help analysts screen markets, research companies, explain moves, prepare portfolio context, and package decision-ready briefs.
Raw upstream files stay on the ingestion side. Customer workflows use normalized records, derived features, retrieval documents, and audit metadata.
The assistant uses a proprietary inference layer with local-runtime resilience and deterministic cited market-data fallback whenever live inference is unavailable.
Use Screener for market discovery, Research for company context, Portfolio X-Ray for exposure review, Decision Hub for shareable diligence, and Trust for freshness proof.
Cerebral explains evidence, flags uncertainty, compares peers, and prepares review packets. It does not issue buy, sell, or suitability instructions.
Every assistant response should know the product map, data boundary, source policy, tool routing, customer benefit, and non-advisory posture before calling market tools.
Account
These controls support the customer workflow but are not the product's front door. Use them when you need invoices, plan fit, agent telemetry, support, API keys, or team workspace tools.
Readiness checklist
Pricing, invoices, and support belong in account settings so the research workspace stays focused.
Runtime status, policy gates, latency, failures, and cost are operational diagnostics, not primary analyst navigation.
Coordinate analysts, reviewers, and AI operators around evidence-backed outputs before external sharing.
Authenticated tools use the account API key for processed-payload access and agent handoff.
Research workspace
Analyze Indian equities using verified market data, evidence documents, and cited AI explanations.
Select a chart, screener row, or company to generate a cited analytics answer.
| Company | Sector | Price | Day | Market cap | PE |
|---|
Opportunity feed
Loading market signals...
Live Market Signals
Price move - +9509.00%
Validate the reported move before using it as a normal opportunity.
Chat with Cerebral across company, sector, risk, and workflow questions. Keep context across turns, then export one final output when ready.
Use exports after at least one cited answer is ready.
Ask a cited market-intelligence question to generate a decision and agent-ready answer.
Create a validation-first brief or route the task to an agent.
{}
Ask Cerebral to generate a decision-ready proof receipt.
The receipt packages citations, freshness, data-room proof, agent directive, and Razorpay readiness.
Ask Cerebral to generate the decision brief.
The brief converts live proof into a concise decision artifact for stakeholders and AI agents.
Complete the decision brief to generate a stakeholder rollout kit.
The kit packages a stakeholder message, readiness checklist, and AI-agent rollout directive.
Complete rollout to generate the readiness scorecard.
The scorecard gives humans and AI agents a clear go/hold decision.
Complete outreach to generate the 7-day pilot activation kit.
The pilot kit gives stakeholders and AI agents concrete onboarding steps.
Complete readiness scoring and pilot activation to generate the decision review brief.
The brief gives humans and AI agents a review-ready talk track.
Pick a workflow to configure the brief, comparison, plan fit, integration snippet, and action queue.
Razorpay order creation uses the recommended plan from this workflow.
sudoedit /etc/cerebral-insights/api.env && sudo systemctl restart cerebral-insights-api
Payment readiness determines whether checkout creates live Razorpay orders or dry-run setup receipts.
{}
Calculate plan fit to create a decision-ready quote.
Calculate plan fit to generate the buyer and agent checkout quote.
Run a brief to see live evidence-backed intelligence from the Cerebral Insights database.
Run a brief to generate deterministic next actions.
Select a source from the brief or comparison result to inspect its evidence trail before copying the packet.
{}
Draft from a saved target, then review before creating a rule.
{}
{}
Successful agent calls generate a decision-grade usage proof artifact.
Run an agent tool call to generate the usage receipt.
The final bundle packages decision, payment, activation, and agent proof for human and AI handoff.
Complete an agent run to generate the decision proof bundle.
Human-readable proof summary unlocks after the buyer bundle is ready.
Complete the proof bundle to generate the customer-success handoff summary.
Razorpay checkout unlocks the paid-access passport for humans and AI agents.
Complete checkout to generate the entitlement passport.
The bootstrap manifest unlocks after Razorpay checkout creates paid access.
Complete checkout to generate the AI-agent bootstrap manifest.
Complete the proof summary, entitlement passport, and agent bootstrap manifest to draft the customer handoff.
Complete the buyer proof flow to generate the customer handoff message.
Calculate plan fit to create the boardroom ROI case.
Calculate plan fit to generate ROI, payback, proof, and approval evidence.
Snippet follows the selected playground tool, query, pinned evidence, and plan fit.
{}
Build a packet to see the next trust action.
Build a packet to generate a reviewer brief.
Build a packet to generate the decision memo.
Build a packet to generate the agent contract.
Build a packet to generate the export payload.
Checkout unlocks after approval.
Build a packet to generate the approval receipt.
Approved checkout attempts will appear here with handoff and payment metadata.
Run an approved checkout to generate the session receipt.
Activation runbook unlocks after approved checkout.
Run an approved checkout to generate the activation runbook.
Progress tracking unlocks after checkout.
{}
Decision Hub
A Decision Hub packages one investment question, the cited briefs behind it, freshness proof, review status, and controlled stakeholder access.
Spaces for analyst, advisor, or buyer review
Answers with evidence, dates, and caveats attached
Packets waiting for signoff before sharing
Latest data-room proof attached to room exports
| Room | Status | Briefs | Evidence | Access | Last updated | Action |
|---|---|---|---|---|---|---|
| MPF Systems Review | Approval needed | 2 | 4 sources | Internal | Latest snapshot | |
| Sector Momentum Pack | Ready | 5 | 18 sources | Shared | Latest snapshot | |
| Watchlist Diligence | Draft | 3 | 9 sources | Private | Pending refresh |
Workflow templates
Showing all AI workflows.
Agent Runtime
Use this control plane to inspect what agents are doing before packaging outputs into research or buyer-room artifacts.
11 tools available · 2 active agents · 0 critical failures
| Run | Agent | Tool | Status | Latency | Cost | Policy | Action |
|---|---|---|---|---|---|---|---|
| run_market_4821 | Market Intel | search_market_intel | Success | 720 ms | INR 2 | Passed | |
| run_brief_1934 | Company Brief | company_brief | Review | 1.2 s | INR 5 | Citation required | |
| run_billing_0872 | Checkout | billing.checkout | Failed | 410 ms | -- | Payment config missing |
Market search, company brief, checkout, packet export, and audit tools are registered.
Generated artifacts require citations, freshness context, and policy boundary notices.
Human approval is required before external sharing or commercial handoff.
Current demand fits the recommended agent-builder plan.
Account Billing
Every plan ties directly to measurable research output, transparent credit economics, and secure checkout controls for your team.
Enter expected volume to see plan coverage.
Trust Operating System
Every answer includes current-source context, auditable lineage, and a strict processed-data boundary. Teams move from signal to decision faster without exposing raw provider payloads or relying on unverifiable output.
Attach dated sources and explainable proof in one flow, not through manual evidence backfills.
Show what was current, what was cited, and what boundary protected raw upstream data.
See freshness drift, runtime gaps, and recovery actions before a packet leaves the workspace.
Coverage telemetry confirms API health, source freshness, and evidence depth before teams publish intelligence.
Data-room proof packages coverage, lineage, and runtime readiness in one certificate for reviewers and buyers.
Decision workflows inherit non-advisory posture, source boundaries, and trust receipts by default.
This checkpoint validates whether the active workspace is safe to use for shareable analyst or buyer-facing outputs.
Run a brief or comparison to populate source coverage.
CEREBRAL_API_PORT=8091 python3 backend/cerebral_api.py
Local API command ready.
Processed product payloads only. This proof tells reviewers what was current, what was missing, and what evidence can be inspected.
Refresh the certificate to attach live data-room proof to decision and agent packets.
Use this proof before exporting an AI brief, decision workflow packet, or agent handoff.
| Artifact | Status | Coverage | Latest source | Generated | Workflow | Action |
|---|---|---|---|---|---|---|
| Data Room Certificate | Ready | 4,487 companies | Latest snapshot | 12:20 | Decision Hub | |
| Market Radar Evidence | Current | 18 matches | Latest snapshot | 12:12 | Screener | |
| Company Brief Sources | Review needed | 4 citations | Review freshness | 12:08 | Research |
Every high-value output should carry source count, dated freshness, and retrieval evidence before it is shared.
Raw upstream payloads remain ingestion-side; customer surfaces expose only normalized, processed market artifacts.
Cerebral enforces non-advisory language and explicit review checkpoints for analyst and client-facing handoffs.
When runtime checks fail, teams get deterministic next actions instead of hidden errors and silent confidence loss.
Team workspace