Data Products Overview

Narrativ sells high-signal data products powered by a proprietary, continuously improving processing layer.

Most data vendors compete on access to data. Narrativ competes on turning raw inputs into the clearest, most decision-ready insight. The value is not simply "having data," it's the engine that:

normalizes messy inputs into consistent signals

reduces noise and duplication

learns which patterns are meaningful over time

produces indices that are stable, explainable, and operationally useful

This processing layer is a core part of Narrativ's moat. As more data flows through the system, the engine gets better at filtering, weighting, and refining what matters.

Inputs (what the engine learns from)

Narrativ products are built from two input classes:

1) User-permissioned data

Users connect profiles and explicitly authorize what can be used and for which purposes. This yields higher precision and stronger provenance than inferred broker datasets.

2) Managed sources

Narrativ also collects from external APIs and web scrapers to capture relevant public and system-level signals.

The data engine combines these into normalized signals and computed indices that can be delivered to customers.

Outputs (what customers actually consume)

Depending on the product, clients receive:

Indices: time series + derived metrics suitable for dashboards, models, and monitoring

Signals (aggregated where appropriate): normalized events and features

Alerts: webhooks when thresholds or conditions are met

Exports: scheduled deliveries for enterprise workflows

AI-ready delivery: training/evaluation datasets and live index streams designed for automation and agent pipelines

These outputs are designed to be:

High-signal (noise-reduced, refined, purpose-built)

Permissioned (explicit authorization where user data is involved)

Auditable (provenance is traceable)

Versioned (methodologies change with clarity, not silently)

Product families

Marketing Data Products

Enterprise Data Products

Capital Markets Data Products

Enterprise data licensing (AI training + live signal feeds)

A large portion of Narrativ's B2B business is enterprise data licensing: customers license high-signal datasets and indices for internal analytics, monitoring, and model development.

Two high-demand categories we support:

AI Training / Evaluation Data

Curated, permissioned datasets with clear provenance, useful for training, fine-tuning, and evaluating models (within permitted use and consent policy).

Live Signal Feeds for Agentic AI

Real-time indices and alerts that agents can consume as context: trend shifts, narrative momentum, sentiment inflections, and behavioral changes, delivered via APIs and webhooks.

This makes Narrativ's outputs usable not just in dashboards, but directly inside modern AI workflows. (Our integration with ASI:One / Fetch.ai is one example of how these feeds can be surfaced to agent ecosystems.)

Why Narrativ is different

Many vendors can provide data. Narrativ is built to provide clarity.

The differentiator is the proprietary processing layer that continuously improves:

better normalization over time

smarter weighting and filtering as patterns emerge

tighter methodology and versioning as indices mature

As the engine learns, the same raw inputs produce more accurate, more stable, and more useful outputs.

Inputs (what the engine learns from)#

1) User-permissioned data#

2) Managed sources#

Outputs (what customers actually consume)#

Product families#

Enterprise data licensing (AI training + live signal feeds)#