DAISORO

Platform

A data intelligence platform for hard-to-obtain market signals.

DAISORO structures fragmented public market signals into evidence-backed, AI-ready records with stable schemas, version state, and delivery paths.

Request sample dataset

Fragmented signals become inspectable records.

record pipeline

Web

App

PDF

Retail

Partner

PriceCapturedbase_price_localcapture 00:04
PromoStructuredpromo_price_localversioned
EligibilityVersionedeligibility_ruleevidence ref
BundleEvidence attachedbundle_inclusionqa: passed
Fine printQA passedterms_summarystable id

vh_84f3c2a9

ev_2026_0418

csv / api / cloud

What DAISORO structures

Signals that are valuable precisely because they are difficult to keep current.

Offers

Pricing

Promos

Fees

Terms

Eligibility

Bundles

Journeys

Evidence references

Inside the data product

What each record includes.

Every dataset is designed around inspectable records: structured fields, evidence references, change state, and delivery-ready formats.

Stable IDs

Schemas

Evidence references

Version history

QA state

Delivery formats

record_idstringStable record identifier
plan_idstringNormalized offer or plan key
channelenumWeb, app, retail, PDF, partner
base_price_localnumberObserved base price
promo_price_localnumberObserved promotional price
eligibility_rulestringSegment or rule label
version_hashstringChange tracking reference

Proof fields travel with the record.

Records are designed to preserve the source, capture state, and QA context needed for downstream review.

Source URLCapture timestampScreenshot referenceDocument referenceVersion hashQA state

From market signal to AI-ready record

The structure behind every dataset.

Capture, normalization, evidence references, version history, QA state, and delivery are represented as product surfaces, not narrative claims.

01

Capture

02

Normalize

03

Attach evidence

04

Version

05

Deliver

Delivery

Delivery models for enterprise teams.

DAISORO can package scoped records into common data workflows without adding a portal or database dependency to the public website.

rail 01

CSV / Parquet / JSON

Batch files for analytics, modelling, and internal data platforms.

rail 02

API

Structured records for AI agents and application workflows.

rail 03

S3 / GCS / Azure Blob

Cloud push into the storage layer your teams already use.

Enterprise use cases

Built around high-value decision workflows.

Pricing and promo intelligence

AI-ready market data pipelines

Competitive intelligence

Regulatory and transparency monitoring

Portfolio and product design

CVM and retention signal analysis