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Token Sell Proceeds Shortfall — Sequential Input-Change Attribution
x402
Token Sell Proceeds Shortfall — Sequential Input-Change Attribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-13).
Computes a sequential (waterfall) attribution of the shortfall between expected and actual token sell proceeds across a before/after scenario pair.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token sell proceeds shortfall — Sequential input-change attribution: Sequential input-change attribution for Token sell proceeds shortfall. Supplied token observations only. Deterministic calculation or caller-threshold verdict, not a live scan, safety proof or trade recommendation. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one bounded sequential input-change attribution report.
Output
A deterministic, bounded sequential input-change attribution report showing how changes in the expected and actual USD proceeds inputs contributed to the shift in token sell proceeds shortfall between the before and after scenarios. Output is a structured breakdown (waterfall) of each input's contribution to the delta, not a live market scan or trade recommendation.
Example use cases
Investigating worsening token sale shortfall
“My first token sell expected $100 and returned $94, but my latest sell expected $110 and only returned $103.40. Can you do a waterfall attribution showing how the shortfall changed between those two trades?”
Auditing proceeds accuracy over time
“I'm tracking token sale performance — before I expected $500 and got $480, now I expected $520 and got $495. Run a sequential input-change attribution so I can see what's driving the bigger gap.”
Comparing two sell scenarios for reporting
“For our DeFi reporting, scenario A had expected proceeds of $1000 and actual of $940, scenario B had expected $1050 and actual of $970. Can you run the proceeds shortfall waterfall attribution between those two?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-sell-receipt-waterfall?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a deterministic, structured waterfall decomposition of how input changes (expected vs actual proceeds) drove a shift in token sell shortfall between two observation points. Prefer this over generic financial analytics when you have explicit before/after USD proceeds pairs and need a sequential attribution rather than a summary difference or live market data.
Side effects
- expected_usd must be greater than 0 (exclusiveMinimum); zero value will be rejected
- actual_usd or expected_usd exceeding 1e16 will be rejected by schema
- Missing required fields (expected_usd or actual_usd in before/after) will cause a validation error
- Non-numeric values for any proceeds field will fail schema validation
- Payment not included or insufficient USDC will result in 402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | object | |
| before | object |
Tags
x402
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