Live/Web Data Unlocked/May 25–31 2026

MISAKI見先

Legislative Intelligence Platform

Catch the bill that costs you millions — weeks before your legal team does.

Open DashboardView on GitHub
200K+Bills monitored
50+Jurisdictions
9sPDF generation
$0Setup needed
DeveloperFrancis Daniel — Mizu
TrackSecurity & Compliance + AI/ML API
Bright Data MCP
AI/ML API
WeasyPrint PDF
misaki — threat feed
TXSB 2847Texas Consumer Data Protection Act Amendments94
CAAB 1823California AI Transparency and Disclosure Act78
EUAIA-DA-04EU AI Act Delegated Act — High-Risk Classification71
NYA 8807New York Automated Employment Decision Audit55
UKHC-1142UK Data Protection and Digital Information Bill32
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The Problem

By the time your legal team hears about it, the window to act has already closed.

200,000+ active bills. A 3–6 week awareness lag. Zero tools that reason over what they find with company-specific intelligence — and act on it.

$3M+
average emergency retrofit
What companies pay when they miss a bill's passage window — retroactive architecture changes, emergency legal retainers, regulatory fines.
3–6wk
awareness lag
The gap between a bill's introduction and your legal team hearing about it. In fast-moving regulatory environments, that gap is a liability.
200K+
active bills right now
Across US state legislatures alone at any given moment. No human team covers this volume. No existing tool reasons over what it finds.

Why existing tools fail

Quorum. LexisNexis. Google Alerts. They all see the same bills. None of them know what those bills mean for your company.

01
They alert. They don't reason.
Quorum and LexisNexis tell you a bill changed status. They don't know what your company does, what states you operate in, or what the bill means for your revenue model.
02
They search. They don't apply.
You can query a legal database all day. It won't tell you that SB-2847 puts your data pipeline out of compliance in 139 days or estimate the $320K exposure.
03
They track. They never act.
No existing tool drafts your compliance memo, packages an action plan, or triggers remediation workflows. The human lag is baked in by design.

How It Works

One platform.
Entire compliance workflow.

Monitor → Scrape → Triage → Analyze → Alert → Act. Fully automated, end-to-end, in real time.

Continuous data flow from bill discovery to compliance action package
01
Monitor
Configure jurisdictions + profile
Supabase Realtime
02
Scrape
Bright Data MCP live calls
MCP · 5 tools
03
Triage
Fast model initial filter
gpt-4o-mini
04
Analyze
Deep reasoning + cost estimate
gpt-4.1 · AI/ML API
05
Alert
CRITICAL ember pulse fires
SSE · Zustand
06
Act
PDF brief + agentic response
WeasyPrint · LangGraph
Live MCP event stream — misaki_mcp_events channel
THINKRouting to gpt-4.1 via AI/ML API — DEEP_REASONING capability
ACTscrape_as_markdown — url: "https://legis.state.tx.us/BillLookup/SB2847.aspx"
OBSERVE12,847 chars returned · latency: 2,341ms · cached: false · credits: 0.02
THINKApplicability: CRITICAL · Confidence: 94 · Exposure: $285,000
CONCLUDEbill_analysis_complete · verdict: CRITICAL · action_package ready

Features

Rebuilt for compliance teams.

Six capabilities — from live bill detection to boardroom brief — powered by Bright Data MCP and AI/ML API end-to-end.

AUTOMATION
MCP Reasoning Terminal

Watch the agent navigate the live web in real time. ACT → OBSERVE → THINK → CONCLUDE cards stream in monospace with a blinking cursor. Every Bright Data MCP tool call — SERP, Web Scraper, SEC EDGAR — is visible and auditable as it happens.

Replaces: manual research, Westlaw keyword search, spreadsheet gap tracking
misaki · agentic terminal
actbright_data.serp_api(query='TDPSA enforcement 2025')
observeHaynes & Boone identified — 3 enforcement actions Q1 2025
thinkRanking by TDPSA case history · NovaTech data residency flag
concludeHIGH exposure confirmed — 2 gaps require immediate remediation
â–¸
EXTRACTION
Public Company Scanner

Type any public company. Live SEC EDGAR + OpenSecrets + press sweep via Bright Data MCP. Regulatory exposure score, dollar estimate, and 24h share link in under 25 seconds.

Replaces: Bloomberg Law, manual SEC EDGAR searches
AI/ML API
PDF Compliance Brief

One click. Dollar exposure on the cover page. AI/ML-generated executive summary, gap analysis, and action plan. WeasyPrint renders it board-ready in 9 seconds.

Replaces: 3-day GC research cycle, $800/hr outside counsel drafting
MULTIMODAL
Vision OCR Ingestion

Drop a scanned bill image. AI/ML vision extracts text, detects jurisdiction and bill number, and routes into the full analysis pipeline in 15 seconds.

REASONING
Model Router Panel

Live telemetry over the model_calls table. Task → model → provider → latency → cost per call. AI/ML API routing made visible and auditable.

SECURITY
Compliance Self-Assessment

5 AI-generated questions specific to the bill and company profile. Readiness gauge animates live. Score, industry benchmark, and cost-to-close per gap.

Open the door

Scan any public company in 25 seconds

Live SEC EDGAR Risk Factors, press signals, and federal lobbying disclosures — fused into a single regulatory exposure report by an AI/ML API multi-model pipeline.

Try:

Demo

Legislative intelligence in under 3 minutes.

Watch Misaki detect a threat, activate the agentic pipeline, and produce a board-ready brief — live, from scratch.

01
Danger before setup

CRITICAL severity bill visible in the first 3 seconds. Not a setup wizard — live compliance risk, immediately.

02
Live MCP reasoning

ACT → OBSERVE → THINK → CONCLUDE. The agent navigates the live web, citing real sources in real time.

03
9-second board brief

Cover page: Estimated Exposure $340,000. Gap analysis. Action plan. What a GC spends 3 days producing.

04
Any company, live

Type any public company. SEC + OpenSecrets + press sweep. Regulatory exposure score in 20 seconds.

Open the live dashboard
Pre-populated · NovaTech profile · 5 bills · agentic pipeline ready
Open Dashboard

AI/ML API is the
intelligence layer.

Every compliance reasoning call flows through one unified endpoint — the capability-routed Intelligence Gateway. Four capability areas. One port. Per-task telemetry visible in the Model Router panel.

Reasoning
gpt-4.1
Applicability analysis · Pass probability · Compliance gaps
Full bill text + company profile injected into every reasoning call
Triggering clause highlighted, dollar exposure estimated
Comparable historical precedents surfaced from pgvector search
Automation
gpt-4o
Agentic law firm discovery · Lobbyist brief drafting
Autonomous 4-step workflow via Bright Data MCP tool calls
Law firms · lobbyist brief · competitive strategy · action package
Every MCP call visible in the real-time terminal panel
Extraction
gpt-4.1
SEC 10-K · OpenSecrets lobbying · SERP press sweep
Parallel Bright Data MCP calls: EDGAR + SERP + Web Scraper API
Raw SEC excerpt shown alongside processed output — proof of source
7-day cached reports, 24h HMAC-signed share links
Multimodal + Fallback
Vision OCR · Gemini 2.5 always-last — zero downtime on any AI/ML provider failure
Capability routing order
gpt-4oVISION / AUTOMATION
↓ on provider failure
gpt-4.1DEEP REASONING
↓ on provider failure
gpt-4o-miniFAST / CHEAP
↓ on provider failure
gemini-2.5-proFallback terminator
Compliance reasoning
AI/ML API reasons over every bill against the exact company profile — not generic industry analysis. Confidence score, cost estimate, and affected operations returned as structured output.
Agentic web actions
The agent navigates the live web via Bright Data MCP. Think → Act → Observe streams in real time. Every tool call is visible in the MCP terminal — not a black box.
Live document extraction
SEC 10-K risk factors, OpenSecrets lobbying disclosures, and press signals scraped live via Bright Data and fed into structured synthesis — zero synthetic data.
Vision OCR ingestion
Drop a scanned bill image. AI/ML vision model extracts the text, detects the title and jurisdiction, and routes into the standard analysis pipeline in under 15 seconds.

Engineering

Built to production standard

Solo build · 6 days · Web Data UNLOCKED Hackathon 2026
Full-stack, from bill to boardroom.
One engineer. Live web scraping + multi-model AI reasoning + agentic response + PDF generation.
TypeScript · Next.js 16 + Tailwind v4
Python · FastAPI + LangGraph + WeasyPrint
Bright Data MCP · 5 tools live
AI/ML API · 4 capability areas
System architecture — data flow
01
Bright Data MCP scrapes every legislature in real time
Five MCP tools fire on every scraping cycle — Web Unlocker for bot-protected legislature sites, SERP API for news signals, Web Scraper API for lobbyist disclosures, and Scraping Browser for JS-rendered bill pages. Every call is cached 24h, traced in Langfuse, and visible in the MCP terminal.
Bright Data MCP · Web Unlocker · SERP API · Web Scraper API · Scraping Browser
↓
Bill record + embedding → PostgreSQL + pgvector
02
AI/ML API reasons over every bill against the company profile
The Intelligence Gateway routes each task to the optimal model. Triage on gpt-4o-mini. Deep applicability on gpt-4.1. Agentic drafting on gpt-4o. Vision OCR on gpt-4o. Gemini 2.5 is always last in the fallback chain. Every call is metered and surfaced in the Model Router telemetry panel.
AI/ML API · gpt-4.1 · gpt-4o · gpt-4o-mini · Gemini 2.5 fallback · LangGraph
↓
Action Package + PDF → Supabase Storage + SSE stream
03
The agent acts — PDF brief, law firms, lobbyist response
When a bill reaches CRITICAL, the Agentic Response Engine fires autonomously. It searches for law firms via SERP, scrapes their profiles via Web Unlocker, drafts a lobbyist response brief via LLM, and generates a board-ready PDF compliance brief via WeasyPrint — stored in Supabase Storage with a 24h signed URL.
LangGraph · WeasyPrint · Jinja2 · Supabase Storage · HMAC signing · FastAPI SSE

Stack

Live web intelligence + multi-model AI routing

Inference
4 tools
Deep reasoning · extraction
gpt-4.1 via AI/ML API
Vision · automation
gpt-4o via AI/ML API
Fast triage · cheap
gpt-4o-mini via AI/ML
Fallback terminator
Gemini 2.5 Pro/Flash
Web Scraping
5 tools
Legislature sites
Bright Data Web Unlocker
News + press
Bright Data SERP API
Lobbyist data
Bright Data Web Scraper API
JS-rendered pages
Bright Data Scraping Browser
Orchestration
Bright Data MCP Server
AI Orchestration
10 tools
Workflow graphs
LangGraph 0.2
Chain primitives
LangChain
Observability
Langfuse tracing
PDF generation
WeasyPrint 68
Templates
Jinja2
Vector search
pgvector HNSW
Task queue
Celery + Redis
ORM
SQLAlchemy
DB migrations
Alembic
Error monitoring
Sentry
Application
19 tools
Frontend
Next.js 16
UI library
React 19
Styling
Tailwind CSS v4
Animation
Framer Motion 11
State
Zustand
Immutability
Immer
AI streaming
Vercel AI SDK
Data viz
D3.js v7
Charts
Recharts
Icons
Lucide React
Maps
React Simple Maps
Backend
FastAPI
Language
Python 3.12
Database
PostgreSQL
Platform
Supabase
Cache
Upstash Redis
Frontend host
Vercel
Backend host
Railway
Containers
Docker

Why Misaki

No existing tool
does all of this.

Quorum tracks bills. FiscalNote's AI copilot summarizes policy and forecasts passage. LexisNexis lets you search case law. None of them reason over applicability with company-specific intelligence, estimate compliance cost in dollars, or act autonomously on what they find.

CapabilityMisakiQuorumFiscalNoteLexisNexis
Real-time bill monitoring
Company-specific reasoning
Dollar exposure estimate
Pass probability scoring
Agentic response (law firms etc)
PDF compliance brief
Vision OCR for scanned bills
Competitive intelligence
Monthly price$499$3,333$3,750$6,667
01
Company-specific
Misaki reasons over every bill against your exact company profile — industry, data practices, jurisdictions. Generic alerts surface mentions; Misaki surfaces obligations.
02
Agentic response
Existing tools tell you something changed. Misaki acts — finding law firms, drafting the lobbyist brief, and generating the competitive response strategy autonomously.
03
MCP transparency
Every Bright Data MCP call is visible in the reasoning terminal. Not a black box — judges and compliance teams see exactly where the intelligence comes from.
04
9-second brief
AI/ML API generates the executive summary, gap analysis, and action plan. WeasyPrint renders a board-ready PDF with dollar exposure on the cover in under 9 seconds.

Target Market

TAM · SAM · SOM
A nested strategy with immediate capture.

Misaki enters through legal operations teams experiencing the compliance lag today, expands through SaaS companies with growing multi-jurisdiction obligations, and scales into law firms managing compliance for entire client portfolios.

SOM
$2M
SAM
$500M
TAM
$5B
TAM$5B
Regulated enterprise market
500,000 companies globally with 50+ employees in regulated industries at $10K/yr average compliance intelligence spend.
SAM$500M
Multi-jurisdiction tech companies
50,000 technology companies with data processor obligations spanning US states, EU, and UK — the exact profile Misaki is built for.
SOM$2M
Year 1 ARR target
200 customers at $10,000 average annual contract value. Reachable via legal operations director outreach and viral landing page scanner.
Legal & Compliance Teams
Direct buyers experiencing the 3–6 week awareness lag daily. Highest willingness to pay — every missed bill costs more than a full year of Misaki.
Series B/C SaaS Companies
Data processors with multi-jurisdiction obligations and three-person legal teams. The exact NovaTech profile — and the fastest-growing compliance buyer segment.
Law Firms & Consultancies
Portfolio Mode — manage compliance obligations across multiple client companies from a single dashboard. Enterprise tier with white-label reporting.

Business Model

10x cheaper. 100x more actionable.

Quorum: $40,000/yr · FiscalNote: $45,000/yr · LexisNexis: $80,000/yr · Bloomberg Law: $30,000/yr
Misaki Pro: $5,988/yr — agentic reasoning, live web, 9-second briefs. The tools above cannot do any of that.
$499
/ month · Pro tier
01 — Self-Serve SaaS
Team subscriptions
vs. Quorum $40K / yr

No sales call. Compliance teams self-activate in under 3 minutes. The viral public company scanner turns anonymous visitors into paying customers — without a single cold email.

Starter $199/mo — 1 profile, 5 jurisdictions, 20 briefs/month
Pro $499/mo — 3 profiles, 20 jurisdictions, unlimited briefs + agentic engine
Team $999/mo — unlimited profiles, Portfolio Mode, team seats, SSO
85% cheaper than Quorum. 10× more actionable.
$2,499
/ month · Enterprise
02 — Enterprise & Agencies
White-label + portfolio tier
vs. LexisNexis $80K / yr

Law firms and consultancies manage client compliance from one white-label dashboard. Briefs under your brand. Dedicated capacity, SLA guarantees, and a full onboarding playbook.

Portfolio Mode — manage 10–50 client companies from one dashboard
White-label reporting — briefs and dashboards under your firm's brand
SLA 99.9% uptime — dedicated capacity, <12s brief generation, priority support
Full white-label at $30K/yr vs. $80K LexisNexis license.
$0.15
per analysis
03 — API & Integrations
Developer & integrations tier
vs. custom dev $100K+

License the compliance intelligence API to legal tech platforms and GRC tools. Usage-based pricing with volume tiers. Webhooks push CRITICAL bills to Slack, email, or any endpoint in real time.

REST API — $0.15/analysis, $50 starter credit pack, volume discounts above 5K calls
Webhooks — push CRITICAL bills to Slack, email, or your GRC tool instantly
Legal tech licensing — embed compliance scoring into existing platforms
Replaces $100K+ custom build for legal tech teams.
Natural upgrade path
Free trial
7 days full access
Starter
$199/mo
Pro
$499/mo
Team
$999/mo
Enterprise
$2,499/mo

Future Prospects

Scalability & impact roadmap.
From hackathon to platform.

Misaki is live on day one. The architecture is already multi-tenant, the RLS policies are written, and the security module is ready to enable. Shipping the platform is a configuration change, not a rebuild.

Phase 1
Now — Live
2
Phase 2
6 months
3
Phase 3
12 months
Core compliance intelligence platform
  • AI/ML API multi-model gateway — REASONING + AUTOMATION + EXTRACTION + MULTIMODAL
  • Bright Data MCP integration — 5 tools, 24h cache, Langfuse traced
  • Agentic Response Engine — law firm discovery + lobbyist brief + competitive strategy
  • WeasyPrint PDF compliance brief — dollar exposure on cover, Supabase Storage
  • Vision OCR bill ingestion — scanned image to full analysis in 15 seconds
Auth + multi-tenant + Slack integration
  • Full Supabase Auth with JWT RS256, refresh tokens, Row Level Security
  • Multi-tenant isolation — company profiles fully isolated per account
  • Slack Block Kit alerts — CRITICAL bills delivered to #compliance-alerts
  • Activate Agent button in Slack — full agentic pipeline triggered from Slack
  • Portfolio Mode — law firms and VCs managing multiple company profiles
Real-time sessions + API + enterprise
  • Real-Time Legislative Session Monitor — Celery Beat escalates to 5-min scraping
  • Ask Misaki — LangGraph ReAct conversational interface over the full bill corpus
  • Named Competitor Watchlist — nightly Bright Data sweep per competitor
  • Public REST API — compliance intelligence as a programmable endpoint
  • White-label enterprise licensing + SSO + custom brief templates
Scalability
Serverless-ready architecture
FastAPI on Railway scales horizontally. Supabase handles PostgreSQL + Realtime. Upstash Redis is per-request serverless. Frontend on Vercel edge.
Impact
Compliance action in 9 seconds
Every detected bill produces a PDF brief, law firm shortlist, and competitive response strategy. The gap from bill introduction to actionable intelligence collapses from 3-6 weeks to under a minute.
Moat
Bright Data AI Startup Program
As a hackathon winner, Misaki qualifies for up to $20,000 in Bright Data MCP credits — reducing infrastructure cost to near zero for 12 months and making the competitive position structurally defensible.

Web Data UNLOCKED · lablab.ai · May 25–31, 2026

Every day without Misaki
is a day flying blind.

200,000 active bills. Live Bright Data MCP scraping. AI/ML API multi-model routing. Autonomous agentic response. Board-ready PDF in 9 seconds.