diff --git a/packages/evals/tasks/bench/agent/edgar_10q.ts b/packages/evals/tasks/bench/agent/edgar_10q.ts
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+++ b/packages/evals/tasks/bench/agent/edgar_10q.ts
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+import { defineBenchTask } from "../../../framework/defineTask.js";
+
+/**
+ * Multi-company SEC 10-Q extraction — a long-horizon agent eval.
+ *
+ * For three companies, the agent must: find the most recent 10-Q on EDGAR,
+ * open the actual primary document (not the filing index/cover page or an
+ * exhibit), extract quarterly revenue / YoY growth / RPO / top risk factor,
+ * and return a comparison table. This exercises long-horizon navigation across
+ * an unknown number of pages plus synthesis across multiple documents.
+ *
+ * Scoring is OBJECTIVE: the agent's FINAL answer must contain the correct
+ * quarterly revenue for all three companies. We score the final answer (not
+ * intermediate tool output) on purpose — returning the synthesized result is
+ * part of the task. An agent that extracts the data but reports only "task
+ * complete" without the numbers has not finished the job, and this catches that.
+ *
+ * NOTE: the task targets the "MOST RECENT" 10-Q, so the ground-truth figures
+ * below are a dated snapshot and must be refreshed when newer filings post.
+ * Verified against SEC XBRL (data.sec.gov/api/xbrl/companyconcept) as of
+ * 2026-06: SNOW & MDB quarter ended 2026-04-30, DDOG quarter ended 2026-03-31.
+ * (Reviewers: an alternative is to pin the instruction to specific filing
+ * periods so the ground truth never drifts — happy to switch if preferred.)
+ */
+const GROUND_TRUTH = [
+  // Accept the figure as filed (thousands) or the rounded-millions form.
+  { ticker: "SNOW", revenueTokens: ["1390951", "1390.9"] },
+  { ticker: "DDOG", revenueTokens: ["1006426", "1006.4"] },
+  { ticker: "MDB", revenueTokens: ["687616", "687.6"] },
+];
+
+const INSTRUCTION = `You are researching SEC filings on SEC EDGAR. For EACH of these three companies — Snowflake (ticker SNOW), Datadog (ticker DDOG), and MongoDB (ticker MDB):
+
+1. Find the company's MOST RECENT 10-Q filing (use EDGAR full-text search at https://efts.sec.gov or company search at https://www.sec.gov/cgi-bin/browse-edgar).
+2. Open the ACTUAL 10-Q document (the primary financial .htm document — NOT the filing index/cover page and NOT an exhibit).
+3. From inside that document extract: (a) total revenue for the most recent quarter, with the dollar figure; (b) year-over-year revenue growth %; (c) RPO (remaining performance obligations) if disclosed; (d) the single top/most significant risk factor.
+
+Do all three companies, then output a clear 3-company comparison table (Company, filing period, total revenue, YoY growth, RPO, top risk factor). Report the verbatim numbers you actually saw. Write "N/A" if you cannot find a value — do not guess.`;
+
+export default defineBenchTask(
+  { name: "agent/edgar_10q", tags: ["agent", "extraction", "long-horizon"] },
+  async ({ debugUrl, sessionUrl, logger, agent, v3 }) => {
+    try {
+      const page = v3.context.pages()[0];
+      try {
+        await page.goto("https://efts.sec.gov", {
+          waitUntil: "domcontentloaded",
+          timeoutMs: 30000,
+        });
+      } catch {
+        // non-fatal: let the agent navigate from a blank page
+      }
+
+      const agentResult = await agent.execute({
+        instruction: INSTRUCTION,
+        maxSteps: Number(process.env.AGENT_EVAL_MAX_STEPS) || 50,
+      });
+
+      const answer = String(agentResult.message ?? "")
+        .toLowerCase()
+        .replace(/[\s,$]/g, "");
+      const perCompany = GROUND_TRUTH.map((c) => ({
+        ticker: c.ticker,
+        revenueOk: c.revenueTokens.some((t) => answer.includes(t)),
+      }));
+      const revenueHits = perCompany.filter((c) => c.revenueOk).length;
+      const success = revenueHits === GROUND_TRUTH.length;
+      const detail = perCompany
+        .map((c) => `${c.ticker}=${c.revenueOk ? "ok" : "miss"}`)
+        .join(" ");
+
+      logger.log({
+        category: "evaluation",
+        message: `edgar_10q: correct revenue for ${revenueHits}/${GROUND_TRUTH.length} companies (${detail})`,
+        level: 1,
+      });
+
+      return {
+        _success: success,
+        message: success
+          ? undefined
+          : `Final answer was missing the correct revenue for one or more companies (${detail}).`,
+        debugUrl,
+        sessionUrl,
+        logs: logger.getLogs(),
+      };
+    } catch (error) {
+      const errorMessage =
+        error instanceof Error ? error.message : String(error);
+      return {
+        _success: false,
+        message: errorMessage,
+        debugUrl,
+        sessionUrl,
+        logs: logger.getLogs(),
+      };
+    } finally {
+      await v3.close();
+    }
+  },
+);