Real-time bid ops
Floor, pacing, and supply-path controls react to inventory signals within seconds — not the next bidder review cycle.
Ad Context Protocol · v3
AI ad-ops with
audit-ready change logs.
Bidhalo is an AI-native ad-ops platform where autonomous agents monitor campaigns 24/7, rebalance bids and budgets in real time, flag invalid traffic and policy violations, and stream audit-ready change-logs straight into the publisher's dashboard.
Live audit-stream · sample window
audit-stream · live
13.4% CPM ▲
0114:02:11Floor bid +6.4%IVT spike on inventory 0x9A
0214:02:08Pacing shifted → CTVCTR proxy 1.8σ under baseline
0314:01:55Budget capped at $42.8kSpend rate +12% within 312s
0414:01:42DSP bid withdrawn — 14 pubAd-Context-Protocol policy Δ
0514:01:30Re-bid — §4.2 supplyCleared in 38ms — 0 humans
0x9A · acp-v3latency 38ms
+13.4%
CPM premium on the 2025–26 wave
5×
faster rebalance decisions vs. manual
100%
algorithmic moves replay-eligible
Capabilities
The four jobs every publisher needs AI bid-ops to do — without becoming a black box.
Audit-ready change logs
Every algorithmic action lands in a tamper-evident ledger with the diff, the reason, and the source signal that triggered it.
IVT + policy defense
Invalid traffic and AdCP policy violations are flagged inline, not after the fact — so spend stays clean and supply-path audits pass.
Streams to your dashboard
A live audit-stream projection pushes the same change records into the publisher's own ops surface — no proprietary console lock-in.
Invariants
Four non-negotiables the platform is built around.
AI buying carries the upside of agentic speed — and the risk of vendor opacity. The invariants below are the shape of that risk removed, in product.
- 01
Every algorithmic move is a stored object
Bid rebalances, pacing shifts, IVT quits — each one appended as a tamper-evident record, signed and queryable by inventory, exchange, agent, or hour.
- 02
Agents watch the floor 24 / 7 — humans audit in seconds
Autonomous ops trade at machine speed; the audit log lets a publisher join at any timestamp with one click and replay the reasoning that produced each change.
- 03
Built on the Ad Context Protocol — not above it
AdCP is the standard supply-side and DSP-side tools exchange intent over. Bidhalo rides on top of existing DSP and SSP stacks, so no rip-out, no re-onboarding.
- 04
AI bid-ops without the vendor black box
Audit-grade transparency is the product — the 13.4% CPM premium and 5× faster decisions benchmarked across the 2025–2026 wave are where the upside shows up, not where you give up oversight.
How it runs
Sits on top of your existing DSP / SSP. Sits on the Ad Context Protocol.
Bidhalo isn't a rip-and-replace bidder — it's the agent layer that reasons, acts, and records. Protocol signals go in, reasoned moves and audit-grade records come out.
- A
Sense
Inventory, exchange, and signal streams arrive in a normalized feed.
- B
Reason
Agents reason over historical baselines, supply-path data, and policy context.
- C
Act
Bid rebalances, pacing, and budget moves flow through the Ad-Context-Protocol layer — your existing DSP / SSP stays in place.
- D
Record
Every move is appended to the audit ledger with diff, reason, and the source signal — replayable on demand.
Plans
Pick the floor you need for your first audit-grade quarter.
Every plan ships the same audit-grade change-log, IVT and AdCP policy defenses, and the live-stream projection into your existing ops surface.
New floor
Observe
From $4.8k/ mo
- Audit-ledger live-stream
- IVT + AdCP policy flags
- 15-day audit history
- Email + Slack alerts
Bid-ops agents
Rebalance
From $14.2k/ mo
- Everything in Observe
- Autonomous bid + budget agents
- 5× faster rebalances
- 90-day audit + replay seat
- AdCP supply-path mapping
Custom
System of record
On application
- Everything in Rebalance
- Multi-publisher ledger fan-out
- SAML + signed-change audit trail
- Dedicated AdCP solutions lead
Get a demo
See the audit-stream running against your inventory.
We'll wire Bidhalo into an AdCP tenanted account, replay a sample auction against your IVT baseline, and show every move the agents make — and why.