Use this skill when the user wants a grounded, corroborated web read on a topic, brand, or product — e.g. "what's being said about <topic>", "give me a web brief on <brand>", "is <topic> trending", "pull grounded web context on <topic>", "topic/brand intelligence brief with citations". Runs two independent web searches (Exa neural + Tavily advanced) and fuses them into one cited brief. Pays per call via selat-pay (USDC on Base), no API keys.
Scanned 9/2/2026
Install to Claude Code
npx -y skills add SELAT-AI/selat-skills --skill social-intel --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: social-intel
description: Use this skill when the user wants a grounded, corroborated web read on a topic, brand, or product — e.g. "what's being said about <topic>", "give me a web brief on <brand>", "is <topic> trending", "pull grounded web context on <topic>", "topic/brand intelligence brief with citations". Runs two independent web searches (Exa neural + Tavily advanced) and fuses them into one cited brief. Pays per call via selat-pay (USDC on Base), no API keys.
license: Apache-2.0
compatibility: Requires the selat CLI, selat-pay >= 0.7.0, and a funded Circle Agent Wallet on Base. The SELAT Router steps need a reachable SELAT Router (SELAT_ROUTER_URL); `selat skill verify` (no --pay) is free and needs no funded wallet.
metadata:
author: SELAT-AI
version: "1.0"
rail: mixed
kind: multi
---
# social-intel
Grounded web-context intelligence on any topic, brand, or account. The skill runs
**two independent web searches — Exa (neural, MPP on Tempo) and Tavily (advanced, x402 on Base)
via the SELAT Router (x402)** — and the agent fuses them into a single cited brief,
cross-checking the two sources and flagging claims only one of them makes.
## When To Use
Use when the user wants a grounded, corroborated web read on a topic, brand, or
product — not a single-source lookup. The value is in *cross-checking two distinct
retrieval methods* (Exa's neural/semantic search vs Tavily's aggregation) so the
brief is corroborated rather than dependent on one engine. Every API call is a paid
x402 service; the agent does the ranking, sentiment read, and synthesis around the
paid data.
## Rails
Both steps are native x402, **via the SELAT Router** through the SELAT Router (`rail: via the SELAT Router`):
- **x402 on Base**: Exa web search (`api.exa.ai`) — resolves as `x402 on Base`.
- **x402 on Base**: Tavily web search (`x402.tavily.com`) — resolves as `x402 on Base`.
The `selat` CLI auto-detects each step's protocol at call time.
## Workflow
1. Install: `selat skill install social-intel`
2. Run end-to-end:
`selat skill run social-intel --topic "<topic>"`
3. The CLI compiles each step into a `selat-pay` call and prints each result.
Recommended agent procedure:
1. **Ground the topic on the web** — Exa `POST /search` (x402 on Base, ~$0.007);
returns ranked results with page text.
2. **Corroborate the web read** — Tavily `POST /search` (x402 on Base, ~$0.011),
`search_depth: advanced`. Cross-reference against Exa; flag claims only one
source makes, and prefer sources both engines surface.
Then synthesize: the dominant themes, the strongest sources, and where the two
engines agree or diverge — with source URLs.
## Inputs And Outputs
| Param | Required | Default | Description |
|---|---|---|---|
| `topic` | yes | `agent payments` | Keyword/topic to search the web for (both engines). |
Output: per-step JSON (Exa results with page-text snippets + URLs; Tavily results
with snippets + URLs) that the agent fuses into a single corroborated web brief
with citations.
## Gotchas
- **Two engines, both x402 on Base.** Exa and Tavily both settle `x402 on Base`
through the SELAT Router, so a reachable `SELAT_ROUTER_URL` is required for both.
- **Both steps are POST** — the query goes in the request `body`, not the URL.
- **`maxAmount` is a guardrail, not the price.** Per-step cap is `$0.05` (live
quotes: Exa ~$0.007, Tavily ~$0.011); the full-run cap is `$0.10`.
- **Corroboration, not coverage.** Two engines exist to cross-check each other, not
to maximize raw recall — prefer sources both surface; treat single-source claims
as weaker.
- **The live 402 is the source of truth.** If a step stops serving a challenge,
`selat skill verify` flags it — omit it and re-add when the gateway serves it.
## Validation
> `--chain base` in the probe commands below is only the flag `selat-pay` requires today — a probe reads a free, chain-independent quote and never settles. A real paid run resolves the settlement chain from your funded Circle Gateway balance, not the manifest.
- Static: `selat skill validate ./skills-scaffold/social-intel`
- Live gate (free): `selat skill verify ./skills-scaffold/social-intel --topic "agent payments"`
- Paid confirm (settles real 200s): add `--pay` to the verify command.
- Single-step probe (no pay):
`selat-pay POST "https://api.exa.ai/search" --body '{"query":"agent payments","numResults":5}' --chain base --probe-only`
## References
- `manifest.json` — the machine-readable payment recipe this skill runs.
- [`references/endpoints.md`](references/endpoints.md) — the catalogue endpoints, rails, and live prices.
- [`references/agent-skill-authoring-sop.md`](../../references/agent-skill-authoring-sop.md) — authoring standard.
- selat-pay — https://github.com/SELAT-AI/selat-pay
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