Agentic Index
Sardine vs Variance (2026)
Both run agents across fraud and financial crime and they cover different halves of the obligation, at 9 and 10 of 14. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Sardine is fraud detection and compliance with agentic workflow automation, on contact pricing with a platform fee plus per event usage. Variance runs investigative agents autonomously across know your customer, know your business, anti money laundering, transaction monitoring and fraud, tracing ownership, checking sanctions and adverse media and returning cited auditable decisions in minutes. Sardine leans detection; Variance leans investigation, and cited auditable decisions is what an examiner will actually ask to see.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Sardine and Variance are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 969 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Sardine if
- Detection quality is the primary need, and the platform is built around the model rather than the queue.
- An approximate published cost helps you build the business case.
- Fraud prevention at transaction time is where your losses occur.
Choose Variance if
- Investigation backlog, not detection, is where your team is drowning.
- Ownership tracing plus sanctions and adverse media in one pass is the work.
- Cited auditable decisions are what your examiner and your board will want.
| At a glance | Sardine | Variance |
|---|---|---|
| Category | Enterprise operations agent | Enterprise operations agent |
| Entry price | Contact for pricing | Contact for pricing |
| Free / trial | Demo on request | Demo on request; no public free tier |
| Pricing confidence | contact only | contact only |
| Feature | S Sardine |
V Variance |
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Partial
API first with self service webhook configuration and integrations into chain analytics (Chainalysis, TRM Labs) and screening data sources; used to consolidate risk stacks at enterprises like GoDaddy. Breadth of out of the box third party connectors is narrower than horizontal platforms; one user review requests more vendor integrations. |
Unknown / Unspecified |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Full / Explicit
No-code rule builder over 4,000+ signals and custom data fields, flexible rules and automated workflows, ML models, and a suite of agents acting on rule and workflow outcomes. Orchestration of risk workflows is the core product motion. |
Unknown / Unspecified |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Full / Explicit
Real time transaction monitoring is the core trigger surface; alerts, alert SLAs, and self service webhook configuration for event driven data flows. Agents act on incoming alert streams continuously. |
Partial |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
Full / Explicit
Grounded in first party risk data rather than documents: 2.2B+ profiled devices, consortium fraud intelligence across industries, billions of device, behavior, identity, and transaction data points, plus screening data (OFAC, EU, UN, PEP, adverse media) and crypto chain analytics integrations. Agents reason over this network context. |
Unknown / Unspecified |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
No / Not documented
Customer Profiles page provides a unified, searchable record of customer activity and lifecycle data, and the device/behavior network carries longitudinal history. Durable agent level memory across investigations is not documented as a first class feature. |
Partial |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Full / Explicit
Agents execute within analyst approved configurations: Sanctions Agent triages alerts per pre-configured dashboard settings, agents surface recommendations analysts validate, unified case management workspace, alert queues with SLAs and review windows. Human oversight is explicit in the product design. |
Unknown / Unspecified |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Unknown / Unspecified
Enterprise controls documented: user-scoped AI agent workspaces (private by default), expanded IP allowlisting with CIDR and IPv6, granular resolution trails, and deployment at regulated banks and 300+ enterprises across 70 countries. Formal certification list (SOC 2 / ISO) not surfaced in public docs. |
Unknown / Unspecified |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit
Audit trails are a design center: audit-ready agents, signal-level AML resolutions for clearer audit trails, alert SLAs with status duration tracking, SardineQL read-only SQL access to user/session/transaction data, and dashboards. Regulatory transparency is a stated product requirement. |
Unknown / Unspecified |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Unknown / Unspecified
API first cloud platform with self service webhooks and dashboard IP allowlisting; integrations with chain analytics providers (Chainalysis, TRM Labs). Multi tenant SaaS only; no on premise or private cloud deployment documented. A user review notes wanting more vendor integrations. |
Unknown / Unspecified |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Full / Explicit
Pre-built rulesets ship for identity verification, payments, counterparty risk, and AML, alongside purpose built agents (KYC Onboarding, Sanctions/PEP/adverse media, transaction monitoring, SAR drafting). Productized for fraud and compliance jobs out of the box. |
Unknown / Unspecified |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
No / Not documented
Runs proprietary ML models trained across billions of sessions plus LLM based agents; user facing model choice or bring your own model is not documented. Model flexibility sits with the vendor, not the customer. |
No / Not documented |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Full / Explicit
Extensible via custom data fields in the rule builder, self service webhooks, SardineQL read only SQL (preview), and API first integration. Extension happens through configuration and data surfaces rather than a plugin SDK. |
Partial |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Full / Explicit
Rule backtesting is documented by users as a differentiator (build rules without retraining a model, then backtest), which is evaluation tooling for the automation layer. Formal agent evaluation or simulation framework beyond rule backtesting is not documented. |
No / Not documented |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
Partial
Compliance is the product: KYC/KYB, AML transaction monitoring, sanctions/PEP/adverse media screening, CDD risk tiering, SAR drafting and filing, case management, and audit ready agent trails, deployed at regulated banks. Built explicitly for BSA/AML regulatory workflows including the 2026 Nacha mandate. |
Partial |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | S Sardine |
V Variance |
|---|---|---|
|
Entry price Lowest public entry point |
Contact for pricing | Contact for pricing |
|
Pricing confidence How public the numbers are |
Contact only | Contact only |
|
Billing Primary billing axis |
usage | not disclosed |
|
Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
No free tier
|
No free tier
|
|
Buying motion Self-serve vs sales call |
Sales call | Sales call |
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