# SolEnrich Attention Momentum

> SolEnrich Attention Momentum is a paid API for AI agents from api.solenrich.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-14).

Ranks Solana tokens by query-velocity acceleration across three consecutive time windows, overlaid with price change, to classify early signals, confirmed momentum, distribution risk, and fading tokens.

## Facts

- Endpoint: POST https://api.solenrich.com/entrypoints/attention-momentum/invoke
- Price: $0.02/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/solenrich-attention-momentum-8e7b75a1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_RtBBnpSRYq6Iv1DCWdO4u

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability solenrich-attention-momentum-8e7b75a1 -d '<json body>'
```

Example prompt: Show me the top 10 Solana tokens where agent query velocity is accelerating fastest right now using a 6-hour window — I want to see which ones are early_signal divergence and get the results in llm format.

## When to prefer this

Choose this endpoint when you need to detect early divergence between AI agent attention and price action on Solana tokens — particularly for spotting tokens before they move (early_signal) or identifying distribution risk. It is distinct from market-volume-based momentum tools because it derives signals from SolEnrich's own agent query stream, not on-chain trading volume, making it useful for agents that want a meta-signal about what other agents are researching.

## Known failure modes

- Insufficient query stream data for the selected window returns low sample_quality scores or empty results
- Window size too recent (1h) may yield sparse signal density with low confidence
- Requesting limit above 25 returns a validation error
- Invalid format enum value returns a 400 error
- Transient API unavailability returns a 5xx with no ranked data

## How this service works

Tokens ranked by how fast agent attention is speeding up — query velocity change across three consecutive windows, overlaid with price change over the same window. Divergence classes: early_signal (attention accelerating, price flat), confirmed_momentum, distribution_risk (attention cooling while price pumps), fading. Proprietary: derived from SolEnrich's own agent query stream, not market volume. sample_quality reports signal density honestly.

## Output

A ranked list of up to 25 Solana tokens ordered by query-velocity acceleration, each with a divergence class (early_signal, confirmed_momentum, distribution_risk, or fading), attention velocity change, price change over the selected window, and a sample_quality score indicating signal density. Available in JSON, LLM-readable prose, or both formats.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "limit": {
   "type": "integer",
   "default": 10,
   "maximum": 25,
   "minimum": 1,
   "description": "Max ranked entries returned"
  },
  "format": {
   "enum": [
    "json",
    "llm",
    "both"
   ],
   "type": "string",
   "default": "json"
  },
  "window": {
   "enum": [
    "1h",
    "6h",
    "24h"
   ],
   "type": "string",
   "default": "6h",
   "description": "Window size — acceleration compares three consecutive windows of this size"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "output": {
   "briefing": "string (llm format) or object (json format)"
  },
  "run_id": "uuid",
  "status": "succeeded"
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/solenrich-attention-momentum-8e7b75a1/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.solenrich.com](https://www.zero.xyz/host/api.solenrich.com/llms.txt)