Blunt risk models approve the wrong trades. And block the right ones.
African P2P platforms lose volume twice: once to fraud and once to the legitimate traders they turn away out of caution. Provd gives exchanges, wallets, and OTC desks network-backed counterparty scores so they can confidently approve more good trades, and precisely reject the bad ones. One API call. Decisions backed by signals no single platform can generate alone.
Counterparty trust scoring
Score every counterparty using cross-platform dispute history, wallet activity, hashed payment identifiers, and repeat-risk patterns, so you know exactly who to approve, not just who to block.
Built into your approval decision
Integrate Provd at the exact point where your platform decides to approve, review, or hold a trade. Responses include a score, reason flags, and a recommended action your operators can act on immediately.
For growth teams and risk teams
Designed for exchanges, wallets, and OTC desks that want to expand volume without expanding fraud exposure. Provd gives both sides of the business, revenue and risk, a shared, evidence-backed decision layer.
The infrastructure layer connecting Africa's P2P ecosystem.
How a single API call changes your approval decision.
Signals that separate good counterparties from bad ones.
Provd sits between trade intent and fund release. Each signal category contributes to a score that tells your platform not just whether a counterparty is risky, but how confident you can be approving them.
One call. Precision you couldn't build alone.
The API is designed for synchronous approval checks. Send trade context before release and use the response in your approval, review, or escalation path.
Your platform sends trade context. Provd returns a score, flags, and a recommended action, letting you approve confidently, not conservatively.
# Python example
import httpx
client = httpx.Client(
base_url="https://api.provd.io",
headers={"Authorization": f"Bearer {PROVD_API_KEY}"}
)
response = client.post("/v1/counterparties/score", json={
"wallet_address": "0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045",
"phone_hash": "sha256:a3f8c2d4e5b6...",
"payment_rail": "mpesa",
"country": "KE",
"chain": "celo",
"context": {
"trade_type": "p2p_sell",
"amount_usd": 500,
"desk_id": "ke-p2p-desk-1"
}
})
score = response.json()
print(f"Counterparty Score: {score['counterparty_score']}")
print(f"Risk Level: {score['risk_level']}")
print(f"Flags: {score['risk_flags']}")
print(f"Action: {score['recommended_action']}")
Start with one workflow. Scale across every corridor.
Provd integrates at the point of approval, one endpoint, no pipeline rebuild. Start with a single desk or corridor and expand as your volume and partner network grow.
- Score counterparties in one live approval workflow
- Validate precision against your existing thresholds
- Measure the trades you were blocking that you shouldn't have been
- Available to design partners and early evaluators
- One API call per trade, before release
- Score, risk level, reason flags, and recommended action
- Single desk, corridor, or approval flow
- For operators ready to move from manual review to precision scoring
- Full review and dispute workflow support
- Coverage across multiple desks, rails, and markets
- Partner network intelligence, contribute and consume shared signals
- Enterprise onboarding, governance alignment, and custom terms
- Identifiers are hashed client-side before leaving your environment.
- Network signals are shared without any raw PII crossing platform boundaries.
- Aggregated intelligence stays separated from user-facing application data.
- Provd sees patterns, never personal data.
See what your current thresholds are missing.
Open the playground to run a live counterparty score, or read the quickstart to integrate Provd into your first approval workflow in under an hour.