PAAL AI
15 fields evidenced · 40 with no public information. Every value below links to the document it came from and the date we checked it.
15 of them are quoted but not yet interpreted: we hold the source sentence and the date we read it, but nobody has written the answer to the question yet. Those rows show the quote and say so rather than repeating it back as an answer. Why these exist
1 of those is flagged for review: our own check found language in the cited source that may address the field. An editor has not adjudicated it yet.
Trust gap
How this is scoredThese scores are automated. A 1 or 2 counts how many fields this entry answers with a citation — not what those answers say. A 0 means every field for that dimension is recorded as undisclosed and none of the pages we captured mentions it. No one has scored this entry against the rubric yet.
Are scope, spend, and authority enforced while the agent runs?
Scored from 1 evidenced field(s): runtime_governance. Automated score; capped at 2 pending review.
Counts Runtime governance, each cited below.
Is there a tamper-evident record of what it actually did?
Are compliance obligations attached per engagement?
Does payment depend on a verified result?
Scored from 2 evidenced field(s): outcome_based_pricing, settlement_mechanism. Automated score; capped at 2 pending review.
Counts Settlement mechanism and Outcome-based pricing, each cited below.
Can the deployment be insured, and is the customer indemnified?
Assurance
- Insurance available
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Insurance carriers
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Coverage limits
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Indemnification
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Liability cap
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Audit trail
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Tamper-evident log
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Explainability
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Runtime governance
“Set parameters such as trade size, take profit, stop loss and maximum slippage”
www.paal.ai · checked Aug 1, 2026- Permission scopes
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Compliance certifications
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Regulatory alignment
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Outcome-based pricing
“REQUESTING_SERVICE: market_analysis_package_001 SERVICE_DETAILS: { price: 100, duration: 24h, access_level: full }”
www.paal.ai · checked Aug 1, 2026- Settlement mechanism
“INITIATING_PAYMENT: 100_credits PAYMENT_RECEIVED: TRUE”
www.paal.ai · checked Aug 1, 2026- Dispute process
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- SLA terms
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Evaluation coverage
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
Agency
- Autonomy level
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Human oversight
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Goal complexity
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Action space
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Operating environment
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Initiative
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
Safety
- Safety evaluations
“Safety Developing Safe and Responsible AI Applications We are deeply committed to the development of safe and responsible AI”
www.paal.ai · checked Aug 1, 2026- Red teaming
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Safety policy
“Safety Developing Safe and Responsible AI Applications We are deeply committed to the development of safe and responsible AI”
www.paal.ai · checked Aug 1, 2026- Usage restrictions
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Model or system card
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Incident reporting
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Third-party evaluations
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Data handling
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
Practicality
- Pricing model
“REQUESTING_SERVICE: market_analysis_package_001 SERVICE_DETAILS: { price: 100, duration: 24h, access_level: full }”
www.paal.ai · checked Aug 1, 2026- Price point
“price: 100”
www.paal.ai · checked Aug 1, 2026- Availability
“Sign up for Paal AI Mobile App Waitlist”
www.paal.ai · checked Aug 1, 2026- Deployment options
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Integrations
“integrate anywhere AI Assistance for any topic with real-time internet data”
www.paal.ai · checked Aug 1, 2026- Supported regions
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Support model
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
Foundation models
- Base models
“harnessing the power of deep learning technology and large language models”
www.paal.ai · checked Aug 1, 2026- Model provider
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Model swappable
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Open weights
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Fine-tuning
“Paal Labs is at the forefront of innovation, harnessing the power of deep learning technology and large language models to construct and fine-tune generative models”
www.paal.ai · checked Aug 1, 2026- Context window
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
Ecosystem
- Protocols supported
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Tool use
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Multi-agent
- no public information
Flagged for review — the source below contains language that may address this field. Not yet checked by an editor. How we check absences
www.paal.ai · checked Aug 1, 2026 - API access
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Open source
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
- Marketplace presence
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
Impact
- User base
“590K+ Users”
www.paal.ai · checked Aug 1, 2026- Deployment scale
“100K+ AI Apps”
www.paal.ai · checked Aug 1, 2026- Target sectors
“Marketplaces Brands Celebrities Crypto Projects Coaches Campaigns Online CIOs Trade/bet/ gaming markets Influencers Education”
www.paal.ai · checked Aug 1, 2026- High-risk domains
“Autonomous Trading Agent Provides both automated and manual trading capabilities Execute trades based on predefined rules Analyze market trends, select tokens and execute buy or sell orders in real-time”
www.paal.ai · checked Aug 1, 2026- Documented incidents
- no public informationwww.paal.ai · checked Aug 1, 2026 · source did not state this
Compared with
Side-by-side on the fields where PAAL AI and the other entry are both on record and actually differ.